Mindvalley AI Summit 2026 — Free Your Fridays With AI (Day 2 LIVE)

Pumped, inspired, grateful. This is amazing. You guys are incredible. You guys are pumped. You guys are seriously pumped. I'm going to completely lose my voice and I'm going to have to learn sign language between now and the time I come back after our next speaker. So today is going to be a big one, and I mean that in the best way possible. But before we get into that, quick housekeeping before we dive in. Just a quick reminder from yesterday. Let's go ahead and switch those cameras on, please. If you have not already, please do switch them on. And here's why that matters beyond just being a nice thing to do is when you show up on camera, something shifts, not just for the speakers who can feel the energy of a real room, but for you. There's something about having your face visible that keeps you present in a way that a black box just doesn't. You're more engaged, you absorb more, you get more out of the experience. And listen, I'm not going to name names here. Yesterday I noticed something that I have to say was really impressive from a creativity standpoint. Someone, again, not naming names, someone appeared to have taken a screenshot of themselves at the beginning of the summit and then made it their background so they could come and go without anybody noticing. It was, it was actually pretty cool. I can't lie, it was really, really cool. And I actually caught them coming back in and it was like, did anybody ever see the movie Ghost with Patrick Swayze and Demi Moore and Whoopi Goldberg back in the day? Yeah. And there was like this moment where like the, the out of body experience where he like merges back with the body. That's what it looked like. It was actually really cool. So listen, if you need a bathroom break, if you need to step away for a second, we love you. Go handle your business. It's totally fine. But let's try to actually be here when we're here because what we're building over these 3 days only works if you're actually in the room for it. Okay. Also, as you guys know, and as you are so brilliant at already, the chat is live. Let's remember to keep it kind, keep it constructive, keep it productive, share what's landing for you. And of course, no self-promotion of any kind. And remember the accumulation effect that we talked about. Everything today builds on what we did yesterday and sets up tomorrow. Okay? So stay with us, like really stay in the room with us because that's where you're going to get the most value. Okay? Now I have a question for you to start today that I want to see some responses in the chat, and I want you to really take a minute and think about this before you type. So just take a second. If you had a fully built AI team working for you right now, not someday, like today, what would you hand off first? What tasks would they take off your plate immediately? Drop it in the chat. Be specific, not admin stuff, like actual tasks. Because here's what I've noticed. Most people, when they think about AI, they think about it in the abstract. I wanna save time. I wanna be more efficient. But the people who actually get results from this, they get really, really specific. They don't say, I want AI to help me with my marketing. They say, I want AI to write the first draft of every email sequence I create and research every prospect before I get on a sales call and respond respond to every customer inquiry within 10 minutes. The specificity is where the power is, and that's exactly what today is gonna help you build. So let's see what we got here. Identify customers, create content, the graphics in Canva for all my posts on Instagram, manage my messages, mails, and Instagram automatic responses, discipline my children. If you figure that one out, you got a billion-dollar idea on your hand. This would be amazing. Let's see. To create an animated loop that I can use, that I can take to Logic Pro, create all the to-do lists and actions. These are great, right? So getting really specific. I'm glad you guys are thinking this way. These kinds of tasks, those are the perfect AI teammate job descriptions. Okay? So we're gonna get into all that today. So real quick level set, let's check back in where we are on the journey. So yesterday we covered 3 of the 5 steps of the method, vision, brain, and creative. So you know what you want your life to look like. You built the foundation that makes AI actually think like you, the brain. And you saw what becomes possible when AI starts to create like you. And today is the step that changes everything, because thinking like you and creating like you, that's impressive. But working for you, that's where your life actually changes. That's where your business actually changes. And I know this because I've lived it. See, recently I was in the middle of raising investment for my supplement company. And if you've ever been through that process, pitching investors, fielding questions, trying to hold your vision together while someone pokes holes in it, And sometimes feeling like you have absolutely no idea what you're doing. You know, it's one of the most vulnerable, high-stakes things an entrepreneur can do. Has anybody here ever raised money before for a company? I'm just curious. Yeah, yeah. So you know, you know that this is really, really challenging. Stacy, I see you in room 2. You're like, yeah, I totally get that. I was recording every investor call though. And after each one, I was feeding those recordings into AI, the same AI that had already helped me craft the entire pitch deck. And the narrative, and that was intimately familiar with my business and my vision and my values as a founder. And I'd ask it to do something that most people would hire a coach for. It told me where I nailed it. It told me where I fumbled. It told me what questions kept coming up that I wasn't answering well enough, where I flailed around for 4 minutes on something that could have been covered in 60 or 90 seconds. It noticed buying signals from investors that I missed entirely. And then it created a communications plan for following up with them and built me a Q&A practice guide with responses so I could study the patterns and get sharper. And I am 100% convinced that that feedback and those tools that that team member was able to build for me was one of the biggest reasons I was able to close the investors that I brought on. It also helped me build my entire financial model. Listen, I have an MBA, but honestly, I'm a brand and storytelling guy. I am genuinely the last person who should be building a financial model. But that's what the TeamSTEPPS actually looks like in real life. Not AI writing generic content or AI functioning as just some, you know, Google-ish kind of technology. It's AI functioning as a thinking partner, as a coach, for me as a strategist, as a CFO, all in one, for one person running a company. Which is exactly what today is going to show you. Today is about the team part of the method. Building AI that doesn't just generate, it takes ownership, it shows up, it handles the things that you just drop in the chat. All those things you said in the chat, it handles those for you without you having to touch them. And the first person who's going to show you why that shift is not just possible but necessary right now is someone I am extremely excited to hear from, someone who has spent his career standing at the intersection of entrepreneurship and disruption. He's gonna tell you some things today that might be uncomfortable. And I say that as a compliment. It's a good thing because the entrepreneurs who thrive in the next decade are not gonna be the ones who are the most comfortable. They're gonna be the ones who are the most honest with themselves about what's changing and they move first. He's a bestselling author, a globally recognized entrepreneur and business strategist, and one of the sharpest thinkers alive when it comes to what it actually means to build a business right now. Please welcome Daniel Priestley.

Thank you so much. It is absolutely wonderful to be here, and I'm feeling the energy from everybody all over the world who's joining this conference. It is an absolute privilege to be joining you from London to be part of this AI conference. I'm going to start the day with some high-level frameworks, and then we're going to get into some entrepreneurial frameworks And this is gonna start the day to give you some new ways of thinking about the world that we're going into. My background is as an entrepreneur, I've spent the last 25 years, and for anyone who's been an entrepreneur in the last 25 years, you know that it's, the backdrop has been constant disruption from the dot-com bubble right through to the global financial crisis. And we had Brexit here in the UK, we had the pandemic. And then on top of that, there are all the personal ups and downs along the way. I'm a father of 3 little kids, I've had amazing ups and downs. I've had some wonderful partnerships. I've had some partnerships that have gone not the way that I wanted them to. So all of that disruption has been the backdrop for the last 25 years, but I've never felt the way that I feel right now. At the moment, I feel like we have the biggest, most incredible technology that's transforming the way that we live and work. It's making things possible that were never possible. It's transforming the way that we live and work and our daily lives. And I think in many cases, people have are feeling a little bit terrified, which is probably justified, but also many people are feeling opportunistic and optimistic because that's also justified. We have amazing opportunities. If we think about the first principles of what makes an entrepreneur successful and why an entrepreneur can function in the first place, an entrepreneur can do what they do because they see that there is a way to do something better, faster, or cheaper than what already exists. So just keep that in mind. An entrepreneur is looking for times where they can do something better, faster, or cheaper, or with more emotional benefits than something that is already out there. The beauty of AI is that everything in the whole world is now a new opportunity. Every single business that currently exists could happen better, faster, cheaper, with more emotional benefits if AI was being used more effectively. And what that basically means is that the entire world is full of opportunities. Every business that was established, every big business, every big corporate brand, It's all up for grabs. Everything can change if we want it to change. Anything that you want to change, you can change, because everything is fundamentally a new opportunity. See, society reflects, uh, society reflects technology. For a long time, humans were hunter-gatherer tribes, and then somebody came up with the idea that tin and copper could be mixed, and then we entered the Bronze Age, and we had a completely new age. And then suddenly we had this entire new way of living and working because of a tiny little technological innovation. Another example is that the British came up with the limited liability company in 1855, which allowed for companies to form and to be able to raise capital through new ways, and that totally transformed the world. Just that new idea, it wasn't even a technology, it was just a new agreement, new way of thinking. About 100 years ago, the home refrigerator was invented, and that totally transformed the way that we live and work. And the point that I'm making here is that when a new technology comes along, the society changes and the world changes as a result of those new technologies. What we're seeing is we're seeing that we've gone, well, 200 years ago we went out of the agricultural age and into the industrial age. And today we're leaving the industrial age and we're entering this digital age, this age of intelligence and this age of technology. And we're seeing that these essentially this new technology is gonna change the way that we live and work. Now all of us have to get ourselves into the technology, because if you're competing against somebody who's using AI, and you're not using AI, it really is the difference between a human up against a car, right? A human versus a human in a car, there is no competition, right? So we all have to figure out how this technology fits within our individual lives. I'm about to talk for about 60 minutes. In 60 minutes, here's some of the things that AI could be doing. AI could read every single research paper ever published on a disease, and then synthesize a novel hypothesis that an oncologist hasn't even considered. It could clone your voice and your writing style enough to fool your closest colleague in a blind test. It could write and debug and deploy a functional SaaS application, front end, back end, database payments, right? The whole lot could be done in 60 minutes. It would take a normal development team maybe a few months to do that. It could generate 10,000 personalized cold emails with enough specificity per recipient that open rates rival warm introductions. It could translate a book into 40 languages. It could analyze every customer interaction. It could compose an original film score. It could run 50,000 simulated negotiation scenarios. It could build working AI agents that could browse the web and book meetings for you and respond to emails on your behalf. Those are all things that could happen within 60 minutes when you're using AI. So the first frame that I like to use with all of my businesses is I like to use the, the frame that my business is already dead. And what I mean by that is whatever business you arrived here with today, literally day 2 of the workshop, whatever business you you arrived here with, I want you to think that that business is already dead. It needs re-innovation. It needs to be reinvented. And it's actually an empowering idea because most people feel that their business isn't as perfect as they would like it. And this is an opportunity to take the best bits about your business and to reinvent the worst bits about your business or the things that you want to improve. And you can take the core essence of your business and you can make it even better at light speed. But you can't do that if you're holding on. If you're holding on to the idea that you have to be selling time for money, that's not a great idea. If you're holding on to the idea that you have to physically meet your clients in the real world in order to give them value, that's an old idea that I want you to replace. If you're holding on to the idea that, you know, the only way that you could possibly earn more money is by working harder, right? I want that to be an old idea where you say, actually, maybe I could earn— work a lot less and earn a lot more if I do things in a different way, because things are about to change in a really big way. Now, I'm not asking you to do anything that I haven't done myself, because these are all things that I've done for my businesses. A few years ago, when ChatGPT first came out, I had a group of agencies where we were working— time for money agencies— and we were doing lots of time for money work. And I decided one by one that I would change all of my agencies into technology companies. So we took the core essence of So Technology and we put it into ScoreApp. We took the core essence of Rethink Press and put it into Bookmagic AI. We took the core essence of August Recognition and put it into AwardsApp. We took the core essence of Jammie Digital and put it into a new product called Vidnary, the company's called VideoFlow. And actually we've had massive transformation where those businesses have gone from being worth about $8 million to $80 million, just those 4 businesses as we've transformed them from one thing into another thing. See, technology is not necessarily scary. Technology creates enormous opportunities. There's something called the Jevons paradox. And the Jevons paradox basically means that we get unexplained and unexpected results when new technology comes along. So for example, when the pandemic came along, we believed, we started to believe that Zoom, the technology we're using right now, video conferencing technology, that Zoom would replace all international flights. And many investors said that airlines are going to go bankrupt because of Zoom. Everyone got used to using Zoom and it basically said there's going to be no more need for international travel. And that the airlines got massively devalued because of video technology like Zoom. What actually happened is that people made new connections internationally, and they made new connections, and they started hiring people all over the world, and they started finding clients all over the world where they would have meetings on Zoom. But then pretty quickly, they started finding reasons that they needed to travel and see those people. And if you go through business class travel at the moment, business class travel has never been more vibrant. We are now 10% higher than expected on all business-related travel. If you try and go into the business class lounge in an airport, you can't even get a seat at the moment, right? So Zoom didn't kill travel, it actually gave people new reasons to travel. If we take something like YouTube, YouTube was going to kill television and there was going to be no television jobs. And it's true that Hollywood lost 25,000 jobs as a result of digital video, but at the exact same time, 550,000 new jobs got created with something new called YouTubing and being on a person's team who is a YouTuber. So massive, like 20 times more jobs got created than got destroyed. And it sounds crazy, but that's the paradox. That's how it actually works. There are so many examples. My mother was a journalist and journalism was killed by content creation. And yet today there are 20 times more people who make their money from content creation than who ever made their money from journalism. So there is always this paradox where new technology is predicted that it's going to wipe things out, and in actual fact it creates all sorts of new opportunities. So you don't have to fear this, you just need to go through a set of steps that we're going through here. Level up by using it daily, embed it into your business processes, start using things like AI agents, start creating your own AI-enabled products. You are not behind the curve. You are not late to the party. You're very early to the party. Each one of these gray dots here represents 3.2 million people. Most people on the planet have never even used AI, not even once. And all of these green dots have just used it as a little bit of a chat. All of these tiny little yellow dots down here are the people who pay for this subscription service to Claude or ChatGPT. And that one tiny little red dot is the number of people who actually use the advanced features of AI. So we are really, really early. If you are on this call, you are absolutely early to the party. You are going to be fine. You are going to have an amazing time. You are going to— the next few years, you're going to invent things and create things and connect with people. You are going to do wonderfully well because just the fact that you're on an event like this. Okay, there are some changes that I think we can expect to see. The first one is a change to the way wealth and income is distributed. In the industrial age, we had something called normal distribution, and we rarely saw something called a power law distribution. Normal distribution means average people end up with average jobs, working in average work environments for an average amount of time for an average amount of pay. That's called normal distribution. A power law distribution means that a small group of people dominate and they actually get to earn extraordinary amounts of money and very few other people get to play at their level and they get to enjoy the benefits of the power law. Now what we're seeing with AI is we're now seeing what's called the atomization of industries where within industries we now have something called micro niches or micro niches where you can actually be at the top of the power law for something very specific. You can be at the top of the power law for a very, very niche thing. This gentleman here, his name is Steven Box, and he is the absolute Michael Jordan for this particular game that he plays. And it's a tabletop role-playing game. Actually, the name of it has just completely escaped me, but it's basically this comic, uh, weird game that lots of people play. He's the number one in the world for this, and he gets paid a fortune to go around playing this role-playing game with people all over the world. This is another friend of mine who is the key person of influence and has built a personal brand around going on track days. And he used to be a Formula One driver, and he used to be a race car driver, and now he takes people out on these amazing track days. He has 1.4 million subscribers. He's living his best life. He's at the top of the power law for track days. He's having a wonderful time. This is something that probably couldn't have existed not that long ago. This is a friend of mine called Leanne. Leanne has decided to create an agency in the Philippines where you can get Filipino executive assistants who are AI-enabled. She's written a book about it, and she's at the top of the power law for her particular niche, for her niche, and she's able to earn a lot of money simply by defining herself at the top of a power law. So one of the first frameworks to keep in mind is that you no longer want to see yourself as average. You want to see yourself as extraordinary at a very narrow thing. You want to pick something that is your micro niche, your specific thing that you engage with, your intellectual capital, your ideal customer persona, And you want to define a game that you can win. So in this age of AI, each one of us needs to define a game that we can be the best in the world at. So I have a question for you, and the question is, is there something that you do that you could be the best in the world at, right? It's just this, this one particular thing, and you say, for this particular thing, I'm really genuinely— my story, my background, I really am one of the best in the world at this particular thing. And it doesn't have to be some like massive thing. It doesn't have to be that you've launched rockets to the moon. It doesn't have to be that you've, you know, won a Nobel Peace Prize or you've floated companies on the NASDAQ. It just needs to be something that people can relate to. And if you can say, I'm really, really good at working with men over 50 to run their first 5K run, right? If they've never run before, okay, you can be best in the world at that. Or you could say, I'm really, really good at beating imposter syndrome for people who are returning back to work into the legal profession, fantastic. If you can say that you're best in the world at that particular thing, it means that we can position you on the top of the power law. Alright, so that's one of the key ideas. What are you best in the world at? Feel free to put it into the chat if something comes to mind. It'd be lovely to know what are you the best in the world at. Own it, claim it, don't be shy about it. Don't fear it, don't run away from it. Really claim it and own it, right? It's important to be best in the world at something in this AI world that we're in. It's, it's great to look through your history and find out what is it that you can, um, you can dominate in, right? Be, be the Michael Jordan for a particular thing. Okay, the next one is that the nature of work is going to significantly change the way that we work. In the industrial age, we always thought of work as repetitive, functional work. We always thought that work was something horrible that we had to endure, and we had to endure it in order to get paid, and then we could have hobbies on the side. So when I talked to my grandfather, my grandfather worked in a factory, and it was very, very hot. It was very dangerous. There was lots of chemicals. There was lots of machinery. My grandfather's eyes were injured when some sparks flew off some of the machinery. His hand was injured when he got his hand caught within a piece of the machinery. As far as he was concerned, work was this horrible thing that he has had to endure. And on the weekends, he enjoyed doing other things like fishing and golfing. But work was work and hobbies were hobbies, and the two had nothing in common. And that was very much the Industrial Revolution mindset. But we have these new workers, we have billions of new workers who have arrived. And I like to call these AI agents, or I like to imagine that there's this new continent called Atlanteans. Imagine that Atlantis has come back and there's these millions of people who want to work for free. They want to work 24/7. They want to help you to create things. They, you know, they, they, they're just super eager, super excited to work. They've got master's degrees, they've got PhDs, they're creative, they're fun, they're engaging, they're positive, right? And all of them want to work for you for free. And we call these AI agents, right? So imagine that there's this new continent called Atlantis, and Atlantis has risen, and now you can just get some Atlanteans to come and do the work for you. Now, essentially, this changes the dynamic of work. This changes the way that work is going to unfold. If we go back in time 200, 300, 400 years ago, we would arrive at the agricultural age. And in the agricultural age, there was a particular type of work which is that the farmer had to know when it was time to plant a seed, what crops would be the right crops to plant. The farmer had to then plant the seed. That's called step 2, planting the seed, toiling the soil, choosing the time and the place, right? And then planting seeds. And then the farmer would sit back and let automation do most of the work. The soil would do a lot of the work in turning a seed into a bushel of wheat. And the farmer, once the field was planted, could rely upon automation, right? The soil was doing the automation. And then the farmer, step 9, had to understand that now it's time to harvest the wheat. And then here's what I do with the wheat in order to take it to market. So step 1 and step 2 is knowing when it's time to plant something and what you should be planting. That's called wisdom. And then getting out there and putting the seeds in the, in the ground, right? So just getting the— just initiation, initiating something. New, then letting the automation take place, the soil, knowing that it's time to harvest, and then knowing what to do with the harvest in order to make money from it, right? How to take it to market. Now I want you to imagine that we're now living in an age of digital soil, and that the digital soil is very similar to the, the agricultural soil. So your job is to know what is it of value, what is the problem that you want to solve, what is the type of challenge that you want to fix in the world and basically know, is it a good time to go fixing that problem? Then you need to set up the technology and prompt the soil, right? Put your prompt, your seed, into the ground, which is your prompt in, into the AI. Then you allow the AI to generate lots and lots and lots of value. And then step 9 is knowing that it's time to take that value and to transform it into a product And then step 10 is take that product to market and make sure that you're making money from that product. So your job is this step 1 and step 2 and step 9 and step 10, but step 3 to step 8 is to let the technology do the work, right? We have this digital soil and this digital soil is gonna do the automation for you. There's really only two sides to business. There's only two sides to business. Side 1 is called speed to market and side 2 is called speed to value. So speed to market is going out and talking to customers and getting them to be excited about what it is that you do. And speed to value is delivering them what they want, making sure that they're happy and that they get what they want. And really all entrepreneurs have to do is we have to orchestrate speed to market and speed to value. We just need to use the AI tools to talk to customers and reach customers, and then use the AI tools to deliver value and make sure that customers are getting value. And that's all we do, speed to market, speed to value. That's as simple as it is. And if we can be faster to market and faster to creating value, we get to build really exciting big brands. It's very powerful to ask yourself the question, what is your customer actually trying to achieve? So recently I worked with this particular brand here called Nutonic. I became an angel investor for Nutonic. And I asked them the question, what do you think your customer is trying to achieve? And what we did is we brainstormed and we said, actually, what people want is a 2-hour focus session. They want to be able to sit and focus on their work. They want to focus on something in particular. They want to be mentally focused for a 2-hour session, right? So we said, okay, that's what the goal is of this particular drink. But we can do all sorts of things with AI to go and tell that story to the market. We can publish lots of content, we can engage in social media conversations, we can do hyper-targeted campaigns, we can do direct messaging, we can do research, we can have AI go out and find partnerships, we can find events to sponsor. So we can do lots of work with speed to market. We can also help with speed to value. We can put QR codes on this can and give people a special 30-day tracking plan. We can give them a goal-setting chatbot. We can come up with audio playlists of music. We could have a dashboard. We could do research on their behalf. We could find unique podcasts that are trending at the moment. All of that could come with this can of drink because the AI agents are in a position to do all of that work that would normally be a human. So even when someone just buys a can of drink, we can assign an AI agent to do things on their behalf to start the whole process moving. So super, super powerful. Okay, one of the things that we all need to do in this age of AI is we must start to develop our personal brand. So a personal brand is something that gives you an advantage in the marketplace. Being known is an asset at the moment, right? So having people who know who you are. I want you to imagine that there is a group of people out there who know exactly who you are They know what you do. They know the problems that you solve. And that number of people, they could refer you. They could accurately describe who you are and what you do. Now the question is, how many people are out there who are in that category? How many people are there? Some of you, you would say, actually my own husband or wife doesn't even have a good idea as to what I do most days. Some of you have got siblings who don't know exactly what you do. Some of you have got big personal brands. You've got thousands of people who know who you are and what you do. So I want you to consider that the number of people who know who you are and why you're valuable and what you do is a very valuable asset today. And you wanna build that. See, what we're seeing is the, we're seeing the death of corporate brands. Corporate brands are becoming untrusted and personal brands are becoming far more trusted. Here's a quick question for you. This logo here, when it's in color, what color is the G? Right? So what color is this particular G here when, when we are normally in color? What would it, what would it be? Put it into the chat. What color is that G normally? Some people are saying red, some are saying green, some said yellow, some said blue, some said it's all colors. I've got a purple. It's actually blue and it's always been blue. The key is, is that people don't really care about corporate logos. We don't remember corporate logos. We love personal brands. Richard Branson has way more followers than Virgin. Even Tim Cook was invisible compared to Apple for most of Apple's existence. Tim Cook has millions more followers than, than even Apple. Stephen Bartlett on LinkedIn. Stephen Bartlett gives people the chance to either follow him personally or follow Diary of a CEO on LinkedIn. 3 million people follow Stephen Bartlett personally, and only 45,000 people follow Diary of a CEO as a, as a brand. So people love people a lot more than they love brands. That means that if you really, really want to develop yourself in this age of AI, we need to make sure that you're building a personal brand. A personal brand doesn't mean that you're an influencer. It doesn't mean that you share what you had for breakfast, or you don't, you know, have to drape yourself over a Ferrari, or, you know, fly in a private jet and kind of make sure everyone feels jealous of where you are this week, right? You don't have to do any of those things. You just have to be the person who takes your clients on a journey, right? You need to know who your ideal customer is and what it is that you add value to them with. And all you're doing is just helping them to go on a journey, and you're guiding them through that journey. That's the type of thing that people, people love. Rather than getting people to see you as a newbie or a worker bee, we want them to see you as a key person of influence for getting the result, uh, that, uh, that they want to get. Okay, before we move on, I'm about to get into some more frameworks that I think you'll find valuable, but I want to know what has been your number one light bulb moment so far, right? What's been the light bulb moment that stood out for you at this particular moment? Put it into the chat. I'd love to see in the chat what are some of the light bulb moments that have stood out for you just from what we've talked about so far. All right, I'll give you a minute to just share, share one of your light bulb moments. It's nice to see what you've got to say. Okay, great. Lots of great, lots of great light bulb moments there. So many coming in. It's really, really cool. Of course, We've got so many, it's hard to, hard to even begin to read all of those. Okay, are you ready for some more? Right? Are you ready for some more light bulb moments? Let's get into some more. Okay, let's talk about you plus AI. So there's you, your personal brand, and then there's some of the things that you're in control of. So here's 3 things that I want you to have attached to your personal brand. So your personal brand is kind of built on 3 pillars. Right? 3 pillars that you're going to build your personal brand on that I think are really important. The first pillar is called your intellectual capital. Your intellectual capital is the background. It's all the stories that make you unique. It's your ability to say something that is true for you. It's your ability to say things that only you could say, right? So because of your history, because of your last 5 years, 10 years, 15 years, you have built up something called intellectual capital. It's your origin story. It's your triumphs and your disasters. It's your playbooks. It's the things that are relatable about you. And that intellectual capital is extremely powerful in the age of AI because when you plug that into AI, it allows AI to create products and services and businesses that relate personally to your intellectual capital. Your intellectual capital is going to be seen as valuable for some people, but other people won't see the value in it. So some people will say, oh my goodness, you are incredibly valuable based on your intellectual capital. And others will say it's not for me. So we have something called an ICP. That stands for your ideal customer persona, the ideal customer who totally, um, resonates with what you do, right? So your ideal customer persona totally resonates with what you do, and they see incredible value in what you have to offer, right? And then the next thing here is called your product ecosystem. Your product ecosystem is the products and services that people can buy associated with your personal brand. So they've got your personal brand, your personal brand has intellectual capital, it is for an ideal customer persona, and there are products and services that people can buy, the product ecosystem. Those are the 3 things that you need to, to formalize in this age of AI. So consider this, you've got baggage, you've got 5 years, 10 years, 15 years worth of baggage, Inside your baggage, inside your ups and downs, you've got intellectual capital. The way that I want you to do this is in nature. I want you to go out into a forest with a notepad and a pen, and I want you to do something where you pause, reflect, and document. You pause and reflect and you mark down your high points, your low points. Steve Jobs said that we connect the dots with our life looking backwards. We look back on our life and we start to connect the dots. It's, it's instead of waiting until the end of life to do that, I want you to do that like this week. Start looking backwards and finding your intellectual capital. One of the most powerful questions you can ask is, when was the last time I did something special? It would be of interest to a certain type of person. I can quantify the result and I can explain it step by step, right? So I want you to think from like year 2020, right through till now. That should be intellectual capital, not intellectual— right, oops. Right, so you want to be able to say, when did I do something special of interest to a certain type of person? I can quantify the results, I can explain it step by step. That is going to give you some intellectual capital, right? You'll find your proof stories that you— the proof stories are the stories that prove you've got intellectual capital. Now here's a story about a woman called Lucy Makara. Lucy Makara looked over her history And she said, uh, over the last 30 years I've worked in publishing, I've published 13 books myself, I've helped hundreds of people to publish their own book. And she said, my intellectual capital is helping people to publish a book. All right, I'm going to really double down on this and I'm going to write a book about how to write a book, and I'm going to document my intellectual capital about how to write a book. She then teamed up with a technologist, a guy called Jonathan, And Jonathan and her worked together to create something called Book Magic. And Book Magic is an AI portal that helps people to understand what they need to do in order to write a book. And it guides them through the process of writing a book step by step. Now Lucy had her 70th birthday just recently. And when she had her 70th birthday, she also raised money just, just prior to that, not actually on the day, that would be a bit weird, but she raised money from angel investors to, uh, launch Bookmagic, and she raised money at about a $5 million valuation. So at age 70, she is a tech entrepreneur who has created a tech portal, and all she's done is she's documented her intellectual capital, she's worked with an AI developer, one person, who's been able to turn that into an AI portal called Bookmagic, and then she raised money at a $5 million valuation. All right. So she raised $500,000 for 10%. Now what has happened since is that literally hundreds and hundreds of people are now using her portal Book Magic to go off and write a book, right? So they're actually out there writing their books using her portal. So that's a great example of intellectual property for an ideal customer persona turned into a digital product. And at age 70, Lucy has created a $5 million plus valuation business. This is Donna. Donna has intellectual capital about how to win awards. She wrote a book called Win. She's been working in the awards industry for over 15 years. She's been to literally thousands of award ceremonies and consulted to thousands of award ceremonies. She's worked with hundreds of companies to help them understand the awards process and how to win, and she's recently documented her intellectual capital and And she's been able to work with her brother who is an IT guy, and together they have built a portal called awardsapp.ai. And what she's done is she's put her intellectual capital into an AI product, and as a result of doing that, she's been able to raise money from investors at around a $5 million valuation. She's been able to build an AI portal that's going live in the next couple of months. And very rapidly she will have hundreds and hundreds of people who are going to use her AI-built portal to go out and, and win awards, right? So she's, she's created something that is really, really powerful based on her intellectual capital. The stories that you're hearing are just people who identified what they're good at and, and put together their playbook. They know who it's for, the ideal customer persona, and they're building a product ecosystem around it. Now, one of the most powerful products that you can build now is called an AI wrapper. An AI wrapper is where you wrap your intellectual capital around, uh, AI, right? So around the normal AI tools. So imagine this, imagine that there is a power plant and that is a big expensive thing that no one could build, right? Unless you're a massive multi-billion dollar company. However, power plants also give rise to products and services that run on power, like a blender, and those blenders plug into the power plant. Now, you probably can't create a power plant as a business, but you probably can create something like a blender that could plug into power and have you have a product or a service that runs on electricity. Imagine this: there is the App Store that Google, that Google has created and Apple has created. You probably can't create an App Store, because it's too big and expensive to create, but you could create an app that sits on the App Store and is powered by the App Store, and you could have a very successful business that plugs into that. In the same way, there is AI like ChatGPT and Claude and Perplexity, and those businesses are impossible to create. There's only a dozen of them on the whole planet, right? And they're multi-billion dollar companies and data centers and all this thing that you need. And you're not gonna create AI, but you can create businesses that sit on top of AI and that plug into AI, and those businesses can be very, very valuable. So my business ScoreApp, we launched that, we plugged AI into that, and now that is a business that's worth more than $50 million. Just, it's only a few years old, and it is a super successful business with 150,000 customers, 10,000 paying customers, right? And all of these amazing AI tools that are just built in. It's not that I've created AI, I've just created something that runs on AI. Now, what's the formula for creating that sort of a product? The formula is that you need to be able to gather data from customers, you need to mix it with your intellectual property or your intellectual capital, and then you need to use generative AI to create a response and give that back to people in an application or in inside a customer portal. And that's as simple as it is, right? Collect customer data, mix it with your intellectual property, mix it with AI, and then put it in an app or a customer portal. And when you do that, it ends up looking like this. This is Bookmagic's customer portal, and this is ScoreApp's customer portal. This is Dent's customer portal. So we've created all these customer portals, and then people just log into those portals and they use our AI tools. And those are very, very successful businesses, right? So it's really— there are so many ideas and opportunities. Every single one of you, provided you can identify your ideal customer persona, you can identify your intellectual capital, you can plug it into AI. Now the question becomes, in a world where everyone can do this, how do we protect our business? How do we have moats, right? So I want you to have a new thought around moats. Once upon a time, when the world was very stable, people built castles and they surrounded those castles with a moat. And they basically said, I'm going to sit there in my castle and I'm going to be able to make sure that I can pull up the drawbridge and protect my castle. But it means that I have to sit still in my castle and then no one can come and get me. And that was great when the world wasn't changing very much, right, during this long thousands of years of Middle Ages. But in a fast-paced environment, trying to build a castle and trying to build a moat is actually foolish because the world is changing so fast. So, imagine instead of having a moat, instead of having a castle, imagine having James Bond skills, right? Imagine that you're James Bond and it just means that you're ready for any situation. You're highly adaptive, you're highly dynamic, right? So, you're not trying to build a moat. You're trying to have dynamism, right? James Bond, you can drop James Bond behind enemy lines and he's totally fine with that. You can put James Bond in a casino or a restaurant or on a construction site or on a ski field or on a beach, right? James Bond's totally comfortable. Whatever happens, he's ready. He's ready to go. He's got his gadgets. He's got his skills, right? He's not trying to build a moat. He's actually just enjoying being someone who's got skills and dynamism. So dynamism is the new moat. Being James Bond is the new moat, right? Or whoever is the Bond girl or the spy that would go with that, right? So rather than thinking about the old moats, the old moats was building a big labor force. You don't need a lot of labor now, right? You can build things with 5 people and build a massively successful multimillion-dollar business with just 5 of you. You don't have to have a huge company brand behind you. You can just have a personal brand where people get to know you, right? You don't have to have huge investments, right? You, you don't have to have those kind of modes. What we want to do is think about, you know, creating something that feels exclusive, building a community around it, giving people positive experiences that they will remember, building an amazing culture around what you do. If you can do that, you're actually, you're, you're doing the right thing for the times that we're in. Don't try and build a moat, try and be more dynamic. Dynamism is the new moat. See, in economics, we used to think of the four big defensibilities of land, labor, capital, enterprise. Land was the agricultural age, labor and capital was capitalism and socialism, and those systems are now behind us. And the new system is enterprise systems, entrepreneurial systems. The reason that we've seen the rise of the entrepreneur is because we've gone from a land-based economy to a labor and capital-based economy into a dynamism enterprise economy. And that's what we need to do now. We need to acknowledge that the nature of the economy is now all about enterprise. So your job is to understand how this nature works. You were raised for a system that no longer exists, right? You went to a school system that said, we're going to first turn you into component labor, and then we're going to send you out to the workforce as skilled labor, and that's basically it, right? So you're going to be skilled labor and component labor, and you're going to work in a factory. What is happening now that we're in an enterprise economy is that we work with intellectual property and intellectual capital. We work with media. We work with data and we work with technology and all the fun is happening above the line, right? So rather than being time for money, right? Who's sick of selling time for money? Who is sick of being skilled labor? Who's sick of making money through being component labor that has to just kind of do the same thing over and over and over again? If you're sick of that, then good news. The real money is made with intellectual property, media, data, and technology. And the great news is that all the AI tools, they are there to help you to turn your skilled labor into intellectual property, media, data, and technology. Your job is to take all of the history that you've built up and turn it into new assets, intellectual property assets, media assets, data assets, and technology assets. And there's never been a time where it's easier to do that. Right now, super, super simple framework I want to give you. And I wanna share this with you, and then we'll be coming to the end soon. But the framework for doing this, the framework for entrepreneurship is a simple set of steps that AI can help you with all of the steps. Step 1 is called Founder Opportunity Fit, right? So Founder Opportunity Fit is where you find something that is good for you, right? This is the opportunity that you're meant to be doing. It means that you find something that is the right thing for you. See, the things that are good opportunities for me are not the same as the things that are good opportunities for you. I might be really good at what I do with ScoreApp, but Lucy's much better with what she does at Bookmagic, right? And Donna's much better with what she's doing at AwardsApp. So what we need to do is say, okay, have we found the right opportunity for you? Right? Founder opportunity fit. Remember I said at the beginning that your current business is dead, and I want you to reinvent it. I want you to go back to founder opportunity fit, and I want you to say, if I can make up anything from scratch, if I can have lots of fun, freedom, flexibility, I want to start with something that I truly want to do in the world, right? I want founder opportunity fit. I want to find something that I'm truly passionate about and that my background really lines up with. Once we've got founder opportunity fit, which is normally something you do by yourself, The next thing we do is called minimum viable product testing. This is viability testing. We're going to launch a waiting list. We're going to launch a web, just a simple landing page. We're going to collect 100 leads and see how hard it is to collect 100 leads. Now even if you've got an established business and you want to spin out a new product, this is the step here where you just say, yep, I'm going to put up a landing page. I'm going to see if I can get 100 people to sign up onto the waiting list. And I'm gonna get a collaborator to help me to test how hard is it to build this, how hard is it to launch this. So you're doing some viability testing. Now this is something that you normally do with you plus one other, so this is a two-person job, all right? Two people working on minimum viable product testing. The next bit is called product market fit. Product market fit is where you take your viability testing and then you get out there and see if you can sell it to real customers and see how happy they are and see how excited they are to buy. And you're trying to find out who is the exact ideal customer persona who sees the most value. And this is normally something that you do with potentially as many as 4 people. So there's 4 of you working on that. And this is where you're just finding those first customers. Here is called go-to-market. Go-to-market is where you start making sales and you start ramping it up and you start taking this thing out and making sales every single week. And normally this is up to about 8 people. So there's 4 to 8 people and this is where you're gonna go out and make sales called go-to-market. Finally, you can then scale up and you can have a really big business if you want to, you don't have to do this. This is now as many as 30 people, right? It used to be hundreds of people, but now you need maybe as many as 30. The numbers have come right down so you can have a scale up with just 30 people, maybe even less if you're using technology really, really efficiently. Sometimes people are scaling up with just 8 people or 4 to 8 people. And then finally, you can sell the business for a life-changing amount of money and you can do an exit. Normally this is a 4-person team who does the exit. And this is where you actually sell the business. Now for me personally, I've done lots and lots of businesses in my time. I've done 7 startups. I've had 3 businesses go north of $10 million. I've got a group of portfolio of businesses. And what I do is I just simply move from, is this a good idea for me to get involved with? Can we test whether it's a good idea in the real market? Can we sell a few and see how people respond and see if we can figure out who's the perfect customer? Can we then sell it every single week and start making lots of money? Can we scale up to more products, more services, more locations? And then can we sell the business for a life-changing amount of money? And essentially that's it, right? 1, 2, 3, 4, 5, 6 steps, and we just go through that. AI can help you with every single one of those steps. These steps have not changed because AI came along. These steps are just accelerated by AI. The people who know these steps are the people who are going to have a very easy time, uh, in the world that we're going into. See, here's the thing, Oh, what we can do— oops, my goodness, I've got all these markers now on here. I didn't even know I had that. How do I get rid of them all? Oh, I delete them one at a time. One second. Okay, here's the thing. This— what you can do is become what's called a serial entrepreneur. And a serial entrepreneur builds one business, and you go from founder opportunity to exit, and maybe that's a six-figure business. And then you go back and do it again, and that's a a 7-figure business, right? And, and you build something there and then you might say, I'm going to really do it again and do it an 8-figure business. So this one was worth a couple of hundred grand. This one was worth a couple of million. This one's worth $20 million. So this is called being a serial entrepreneur where you get bigger and bigger and bigger once you build your confidence. Or you today, you could do what I do, which is called being a plural entrepreneur. And a plural entrepreneur is essentially where you've got multiple projects going at any given time. So I've got multiple projects. I've just sold Rethink Press, which was an exit, right? So it's gone through there and it's done an exit and we spun Bookmagic out of Rethink Press and Bookmagic is currently in go-to-market, right? That's where it is. ScoreApp is in scale-up. Dent is in scale-up. AwardsApp is in minimum viable product and product market fit, right? So we're in that zone there. So each one of those projects has its own little value creation loop. And because I know those value creation loops and because I can use AI, I'm able to totally, I'm able to totally manage multiple projects and have multiple amounts of fun. On top of all of these things that I've got going on, I've got 3 little kids and I take them to school every day. I pick them up. I'm here when they get home. I do podcasts. I've written 7 books. I'm able to juggle lots and lots of things because I'm using technology. I'm using tools. We're just moving through those 6 steps again and again, and AI is helping me all the way, right? So I want you to consider that rather than being fearful of all of this stuff that's happening, treat it like a child who sees a brand new playground, right? When you take the kids to a playground, they are totally excited, they are totally pumped, they want to try new things, they want to get on the new slides, they want to get on the swings. Right? They, they're excited to play. I want you to remember what it felt like to be excited to play. And as adults, we see new stuff and we see disruption and we think, oh my goodness, that's going to ruin my current playground. Right? And we forget what it was like to be a child when we said, actually, it's great to have a new playground. It's great to have new things to play on. I want you to see AI as a new playground. This is your new playground where you get to do superhuman things You get superpowers. You can make your ideas into reality really, really quickly, and you can have a lot of fun doing that. See, here's the amazing thing. The amazing thing is this: if we were to zoom out, a lot of people are fearful about AI, right? They're very, very scared of AI. If we were to zoom out and imagine we were aliens and we had just arrived, uh, in our spaceship spaceship, and we're looking down at planet Earth, and we're looking at all of these humans, and we're looking at all these 8 billion people on the planet. And imagine we look at planet Earth and we say, something interesting has just happened. These humans have just created a technology that synthesizes all of human insight, all of the knowledge, every book that's ever written, everything that's ever been published, every idea, every conversation. They've just synthesized that into one technology and they've democratized, uh, all of that so that every human on the planet has a new level of intelligence available to them. They've been able to level up the amount of intelligence that every human has access to. And imagine we're looking there as aliens and we go, this is really interesting because all of the jobs that they used to hate and they used to complain about, the technology can now do those jobs. So not only do they have a new level of intelligence that they've got available to them, they also have the ability to automate the jobs that they never liked in the first place, right? A lot of the jobs they didn't, didn't want to do. And now it's like, do we think that's going to be a good thing for the world, or do we think that's going to be a bad thing for the world? I think it's going to be a good thing that there's so much more intelligence. I don't think intelligence can be a bad thing. I think that it's going to be rocky. It's it's going to be weird. Some feathers are going to be ruffled. Some businesses that have been around for a long time are going to be disrupted. That's all true. But I also believe that this group of people that are here together, these, these thousands of us that have chosen to be here on this call this weekend together, I think that we're going to guide our little parts of the world in the right direction. I think we're going to inspire people. We're going to show people what's possible. We're gonna show people how we're using the tools to make positive change in the world. We're gonna create products and services that add value to a lot of people at scale. And we're gonna leave other people saying, well, if it's possible for you, it's possible for me as well. And I'm gonna go for that, right? I'm gonna really lean in and achieve that. So I hope that that is a great way to see this world that we're going through, this change that we're going through. Let's approach it with hope. Let's approach it with optimism. Let's prepare for disruption, but expect the best from ourselves and each other. And let's really make the most of these magical times that we're in and this magical technology that we now have access to. Okay, I hope that's been thoughtful. Please let me know in the chat what's been your number one light bulb moment that really stood out for you in this conversation that we've just had. I've covered a lot of frameworks, a lot of big ideas. I've set the tone. For the world that we're going into. I gave you a few examples of people who are doing it. Let me know in the chat what, uh, what are some of the things that stood out for you. What's a light bulb moment that stood out for you? It helps with— it really helps to engage in that way. So I'll give you a second, um, as I'm going to hand back soon to the team, uh, at Mindvalley, and, uh, and we can, uh, we can see some of those light bulb moments that people have shared. As well. Let's have a look in the— I mean, it whizzes past, doesn't it? Right, these, these, uh, these, uh, question— these light bulb moments that you've had, they're so good, but they come in so thick and fast. Um, okay, very, very good. Oh, there we go, they're coming up on the screen now. We can see a few of those. Yeah, very nice to see. Okay, you don't have to have moats, you can be dynamic. The 6-step entrepreneurial method. James Bond energy is better than moat energy, sitting alone in my castle. You can build AI wrappers based upon AI large language models. Pause, reflect, and document. Go out in nature and pause, reflect, and document. Exactly. I need to develop my intellectual capital and link it to my personal brand. Great light bulb moment. Personal brands get more cut through than corporate brands. We need speed to value and speed to market. Very good. We've got people who want to work for free. AI agents who want to work for free. Yes. My job is to do steps 1, 2, and 9 and 10. "Uh, but let 3 to 8 be automated by the technology." Very good. "I need to find something that I'm best in the world at." Excellent. "I'm not late to the party." Fantastic. "My business is already dead, but I can reinvent it." Very, very nice. Okay, those are some really good light bulb moments, some really good insights. Fantastic. Alrighty, so, uh, I'm going to hand back to the team at Mindvalley. And we can get on to our next speaker. Where is my Mindvalley team? There we go.

Again, please, for Daniel Priestley, such an incredible session. I love the way he's able to simplify things. I mean, even just that one, the one circular graphic with the go-to-market and product-market fit and all those things like that alone, that's such a holy grail moment. If you pay attention to what he really said there, it's worth its weight in gold. So thank you again, Daniel. That was incredible. Now guys, Daniel just held up a mirror for us, right? Not the here's what's possible mirror, but like the real mirror of how we're running things. The one that shows you the old way of doing things. The hustle, the overwhelm, the wearing every single hat, the grinding through the mundane so you can eventually get to the meaningful part of the work that you want to be doing. That's not a badge of honor that we should be so excited to wear. It's a system design flaw. And AI is the fix, which brings us to our next teacher. I'm really excited about this, and I wanna say something about him before you see him. Dominic Ashburn is one of the highest-rated teachers in the entire Mindvalley ecosystem, not just at the summits, but, like, across everything. And the people who learn from him consistently say the same thing. He doesn't just teach you what to do. He changes how you think about what you're doing. It's an entire mindset shift, an entire perspective shift. Now, He's not gonna be live with us right now. We're gonna be watching a session that he recorded specifically for the summit, and he actually stepped away from a family vacation in order to record it for us, which we think is amazing. Most people would just say, hey, sorry, I can't do it. Uh, but he recorded something really special for us, which we're really grateful for. And I want you, even though it's a recording, to treat it the same way you would treat him being live in the room with us, because what he's about to show you is one of the most important distinctions of this entire 3 days. It's the difference between an AI tool and an AI teammate. And once you understand that distinction, once it really lands, you're never going to look at AI the same way again. So please welcome Mr. Grateful himself, Dominic Ashburn. Really? Like for tomorrow? Oh, shit. Welcome back. Wasn't that an incredible session? It went by so fast, you probably didn't even realize how much you learned. So we're having a little bit of, uh, technical technical difficulty. We're just checking it out right now in the back. But, um, while I have you guys all here, there's been a lot that you've learned this morning, and I know you shared some of that stuff here with Daniel at the end of his talk. But I'd love to really know from you guys, now that we're a day and a little bit of time in, what else has really shifted for you? Like yesterday when we closed, I asked you what was the thing that was really going to stick with you, the thing that you weren't going to be able to stop thinking about. And I'm curious if that's still in your head. Like if you came into today with that same thought. So can you share some of that for me in the chat? I'd love to just know, like, what's that one thing that's really stuck with you that you can't stop thinking about? Because there was a book written a long time ago. Does anybody know Tim Ferriss? He did The 4-Hour Workweek, and then he wrote a book also called Tools of Titans. Yeah. And Tools of Titans is like this massive book. I think it's like 800, 900 pages or something. And he said something in the beginning of it that really struck me that I'll never forget. He said, listen, this is a massive book that you've purchased or downloaded or whatever it is. He said, so as you're reading it, just remember this one thing. You're gonna like 50% of what you read. You're going to love 25% of what you read, and you're never gonna forget 10% of what you read. And so what I'd love to know from you so far is what's the 10%? Not by looking at your notes, not by referring to anything that you've written down for later, but like the first thing that pops in your head, what is that thing? I would love to see that. Thank you guys so much. I love this. Uh, Ingrid said, I need to start building on my idea instead of procrastinating. The timing is perfect. How many people can resonate with feeling like you've been procrastinating a bit on building something and it's time to go? Yeah. Stacy in, in room 2. Yep. I see that. Okay. Awesome. Cool. Well guys, listen, I really appreciate your patience and everything you're sharing here. These are great. I'm actually gonna go try to read some of these chats now when I leave you back with Mr. Grateful. So let's try this again. Once again, Dominic Ashburn.

Let's try this.

And go.

All right. Peace, family. Thank you for being here with me today. You could have been anywhere in the world, but you are here with me, and I appreciate that. I'm Dominic, Mr. Grateful. Good morning. I appreciate you, brother. Love wherever you are tuning in from in the world. Before we begin, I want to let you know that today's session is prerecorded, obviously. So that I can be present with my family during my grandfather's birthday.

It's okay.

Happy birthday, Grandpa.

It's connected to—

but tomorrow for our final session on systems, I'll be here with you live. So take it all in today and we'll get together tomorrow. So you've already seen a lot. Uh, yesterday you saw how AI clones can write in someone's voice, your voice. They can prepare meetings and create content. You've learned how to think like a decision scientist. You can smarter decisions about where to apply AI. You built your brain, the knowledge base, the context, the documents that make AI personal to you and your business instead of generic. And this morning you saw that AI can create like images, music, videos, brand materials that all sound and look like your business and brand and feel like you. And you may have even created some yourself already. And all of that is so powerful. Today we're going to be shifting from simple conversation and generation and a one-way input/output to an AI actually going through and doing work for you. Now, the AI teammate I'm going to show you today works inside a desktop application, which I'm going to have screen recorded and showing you here, and it needs to be up and running for it to operate. You can either instruct it in the moment that you need it or schedule tasks in advance. And it executes while the app is open, and it can do real work and create real files. It can access real tools, but it still needs you to set it in motion. You can think of it like a teammate who's sitting at their desk ready to go, waiting for your direction or following a schedule that you gave them. Today I'm going to show you what that looks like, uh, for me with an AI teammate that I built that knows my business. It accesses my tools and does real work. So here's what the next 40 minutes is going to look like. And first, I'm going to tell you a quick story, how I built my first AI teammate 3 years ago, how that's changed, what's happening right now in the world of personal AI agents that you need to know about. And then I'm going to show you the 4 things every AI teammate needs. You can think of it like an onboarding checklist. And then I'm going to show you mine, the actual teammate that I built for my business doing real work. And I'm going to show you my screen. and then we'll look at the 3 tasks that I'm running in my business, communication, product development, and content. And then we're gonna zoom out and look at those takeaways and look at the leadership that's necessary to communicate with these AIs. But I'm gonna give you the entire document of things that I am talking about here. So no need to take notes, just be present and be thinking and asking yourself, how does this apply to my business? So 3 years ago, I gave myself a challenge to get 100,000 followers in 30 days using AI. And I did it. And I was actually only using ChatGPT 3.5. No memory, no tools, no access to anything. It was just one long conversation thread that would forget everything if I canceled the thread, which happened multiple times. but today things look different. That was my first AI teammate. It was a conversation and I had to be the eyes, the hands, the memory. I had to copy and paste everything and I would screenshot every single metric and then upload it. And then the AI could think with me and gimme some feedback, but ultimately I had to go do the work. That was 3 years ago. And today my AI coworker, my teammate is actually like doing the work for me. Actually, let me show you something really quick. So while I was preparing for this class, the Mindvalley team sent me an email asking me for, you know, a bunch of things that I had to prepare for, like my bio, my headshots, the timing for the sessions. We had a meeting and they were sending me meeting notes and stuff, and I had to prepare the curriculum to teach you. So instead of going to Gmail, reading through it and pulling up the Drive and organizing everything myself, I just asked my AI teammate to handle it and it did. It read the email, told me exactly what was needed, and filed the documents in the right place. I didn't open Gmail, I didn't open Drive, and that took like a minute. So, uh, that's exactly how this class got organized and how I was able to start preparing for it. So what you're watching right now is partially prepared in collaboration with the AI teammate that I'm going to teach you about. And you're already looking at the output here. So let me zoom out because that was just a very simple version of something much bigger. It has access to my email, my calendar, my Google Drive, my files, my code, and the internet and my computer. So it doesn't just think with me. It does work for me using the same tools I have. And it reads emails, drafts responses in my voice, and it takes the messy user feedback that I have when I'm building my product and turns it into a development plan. It creates content from my brand guidelines, and I can run multiple of them at the same time on different tasks all at once. So this evolution here that we're seeing in AI is going from asking for answers to actually getting stuff done. And I want to give you a sense of how fast this is moving, because what I'm going to show you is the wave that's flowing through the world right now. You are living in an unprecedented time in humanity. And some of you may have heard about something called OpenClaw. It used to be called ClaudeBot, and it's an open-source AI agent that went viral in January. It runs locally on your computer. It connects to your messaging apps like WhatsApp, Telegram, iMessage, and you literally talk to it from your phone, from any of those messaging apps. Anywhere you are, and it can send emails, schedule meetings, browse the internet, run code, manage your files, make social media accounts, run actions across dozens of apps, all autonomously. It has more stars on GitHub than Linux. People in China are literally lining up at tech company headquarters to have it installed on their laptops. Tencent built their own version. ByteDance built their own version. Um, uh, people are buying Mac Minis just to run these agents 24/7. NVIDIA just announced Nemo Claw. It's an enterprise version of the same concept, uh, launching next week. Um, they're pitching it to Salesforce, Google, Adobe, CrowdStrike. Like, it's getting big. Um, it's, it's, it's getting institutional. Perplexity just launched their version, which is called Cloud Computer, or I'm sorry, Personal Computer. Microsoft launched Copilot Cowork using Claude's technology underneath. And every major company is converging on the same ideas that AI isn't just going to answer your questions. It needs to be doing work for you. So this is the shift that we're living through right now. And there was three waves. The first wave was chatbots. You ask and it answers. And it's actually how most of you are using AI now, like using ChatGPT, kind of like Google. The second wave is creation. It's AI generating things like content and images, videos, you know, websites, applications. And this third wave is where we are today. It's agency. It's an AI that has access to your tools, to your computer, to your systems, and it takes real actions on your behalf. Now I want to be honest with you about something. OpenCall is powerful, but it's also dangerous, especially if you don't know what you're doing. One of its own developers warned that if you can't run a command line, like if you can't code, it's too risky to use safely. There's been real incidents. An AI agent that created a dating profile for somebody without their knowledge. Uh, there's security researchers demonstrating that you can actually upload malicious files. Hackers that can hijack the agent and then go make it do stuff and like, you know, share sensitive information and delete data. So people are, are very cautious with using that too soon. You're basically giving an AI access to your entire system and then telling it to go free-for-all. Where we're at with AI technology and its reliability right now is not strong enough yet in order for that to be safe for the regular user, right? So today I'm going to be showing you Cloud Cowork, and this gives you the same category of capability inside a controlled and accessible environment. You don't need a separate computer, you don't need to be technical, and it runs in like a virtual sandbox. Basically, it runs in an app on your desktop, meaning it can only access the specific folders you grant it. It asks for approval before sensitive actions, and there are guardrails built in. So it's the same revolution, but it's just like a safer entry point. And that's what I want to give you today. And regardless of which tool you use, whether it's Cowork, Open Claw, or whatever comes next, the thing that makes the biggest difference is learning to be clear. Clear about what you want, clear about how to communicate it, and clear about the direction. The same thing that makes someone a good leader of people also makes them a good leader of AI. But we'll come back to that at the end. For now, I want to dive into actually showing you my teammate in action. And I want to give you the mental model because this is what separates like, I tried AI and it was cool to I have an AI teammate that does real work. And there's 4 things that every AI teammate needs. And it's the same 4 things any human teammate teammate would need on their first day at your company. First is knowledge. When you hire someone, you don't just throw them into work on, you know, the first day with no context. You onboard them, right? You're gonna give them your files, your history, your guidelines, your strategy, and you're gonna give them, you know, the, the, the documents that they need. An AI teammate is the same. It needs to be connected connected to your Google Drive, to your documents, to your business information so it can work informed. And here's the good news. You really already built the hardest part. You built out your brain. You got shown how to build out that whole brain already. The documents, the context, the business information that makes the AI personal to you, you've done that. So the brain becomes your teammate's knowledge base, and you've seen how a lot of that work is already done. Now we're gonna put it to use. The second part is skills. Skills are like the templates. It's the examples that you give your teammate to do the type of task over and over and over with consistent quality. This morning you saw AI create beautiful brand materials, but every time you wanted something new, you have to prompt it again and describe the style, the tone, the format, and skills eliminates that. So if you want to write emails in your voice, it needs examples of your voice. If you want to create content in your brand style like what you saw this morning, it needs your creative guidelines loaded permanently. So skills are what turn a one-time good output into a reliable, repeatable process. And other people make them, and you can also just talk to Claude and have it make these skills for itself based on and how you like your work done. The third part is connectors. A human teammate needs access to your email, to your calendar, to your Slack, your project management tools, um, you know, just all the different apps that are necessary to run your business, right? And AI teammates, no different. Connectors link your AI to the actual applications where your work happens, like Gmail, Google Drive, your your calendar, your browser, your coding environment. So without connectors, your AI can think, but it can't really act. So the access is powerful, which means you want to be thoughtful about it, right? When I first set this up, I noticed something important, which was Claude asks for approval before taking sensitive actions. I can set it to ask before acting, and when it creates a plan, I can review it before anything happens, and I manually approve actions on sensitive things. So this isn't like a set it and forget it. It's more like a trust and verify, like you would with any human employee on their first week, right? Um, then we have, which is the, uh, the fourth ingredient here, which is clarity. And this is the human ingredient, and honestly, it's the most important one. Yesterday you learned about making smarter decisions with AI, thinking like a decision scientist, and clarity is the applied version of that. It's how you communicate your decisions to an AI teammate so it can actually execute them. Actually execute them. Your AI teammate needs clear direction, like what's the task, what's the context, what does a good result look like, what's the priority? And the clearer you are, the better the output. And here's something that I love about how Claude works is there's a feature that you can tell your AI teammate to ask you clarifying questions before it starts working. So instead of guessing what you meant or going off on the wrong direction, it interviews you. So ask things like, what does done look like for this? Or who's the audience? Or what constraints matter here? Or, you know, whatever. And your answer, it refines its understanding. We'll see some examples of this. I'll show you. And, uh, and then it executes with precision before the ambiguity has been resolved upfront. So you don't have to perfect— be like perfectly clear from the start, right? You can build clarity together with your AI teammate. So the AI prompts you, and the sharper you get about what you actually want, then the better these outputs are going to be. Getting better at directing with AI has made me a better leader of people too, because it forces you to think through what you actually want before you ask it. So Those are the 4 ingredients: knowledge, skills, connectors, and clarity. And these 4 ingredients is what separates a tool from a teammate. It doesn't matter, like I said, if you're using Claude Cowork, Open Claw, or, you know, whatever comes out, these ingredients are the same and the human skill is the same. Now, let me show you what this actually looks like when all 4 of these ingredients come together. So I have 3 demos for you. This first demo is Demo A. Each one of these demos is broken down into the different sections of my business that are really important for me to replicate and have done consistently well without me having to manually do every single step. And it has saved me so much time, so much mental power, so I can focus on just like enjoying the work and doing what I want to do and the things that I love to do. Uh, while some of these like menial things that can just get clicked through are done for me. Okay. So the first thing I want to show you is the area that overwhelms me the most as a solo founder, which is communications. I love to create. I love speaking and I love teaching. But communications is just like, just like there's so many people to talk to, so many DMs, so many emails. It's just like, you know, it can get a lot and I have to like personalize everything and make everybody feel special, which everybody is special. But having the bandwidth to make everybody feel that way digitally when hundreds of thousands of people have access to me is challenging, right? So this is where AI really came in clutch for me. So responding to every inquiry quickly and intelligently and like also scheduling the meetings and filing the notes and actively finding and reaching out to the right partners and sponsors for my business. That's, that's a, that's a job in itself. So as a solo founder, I have an AI teammate that helps me with these communications and my business development. So let me show you what that looks like. So layer 1 is my reactive communications. So there's 2 parts to my reactive communications. One is my emails and the other is post-meeting, right? So after all of my meetings are done, um, what needs to happen is it will take all of the details and context from these meeting notes and automatically file them in the right place, in the right folder in my Google Drive. And my Google Drive for me acts as my knowledge base. So this is where everything gets stored in one place in the proper headquarters and in the proper department so that AI knows where to go and I know where to go whenever I need some information and has context every time it speaks. So instead of having basically a Gmail filled with a bunch of inbox, every time after I get off of a Zoom meeting or like a Google Meet, it will give me the meeting notes afterwards, but it's just as like a line in my inbox, right? I have it pull the context from that and then organize it specifically in the right place in my knowledge base, which is my Google Drive. And then the second part of the reactive communications is my emails. So I have it scheduled where every morning by the time I sit sit down with my coffee, every new email that I have has a drafted response waiting for me. So I just have to review it, I adjust it if it's needed, and then I hit send. Then if any of those were asking for meetings, or if any of those were essentially like had an event or a time coordinated with it, the meetings are already scheduled on my calendar. The second layer is like proactive partnership outreach. I am expanding my sponsorships and my partners that I want to collaborate with when it comes to my content and my product. And these people and these companies and brands that I'm working with, they need to be aligned with my brand. They need to be aligned with what I'm building, with my values, with the visual aesthetic, right? And watch this. I didn't tell it who to contact. I told it what kind of partners I'm looking for, like all of those things I just said, all those parameters, those organizations that are aligned with contemplative practice, with wellness, with mindful technology. It's searching, it evaluates it, and then it reaches out. So it'll actually find information from all of these people, from all these brands, and then draft the outreach that it needs for these individuals. And this is my AI teammate actively building my business pipeline while I am doing other work. So this is kind of the sales, and everything goes into one Google Sheet here, which is my partnerships hub. So every prospect, every outreach, every status, every next action, it's all in one place, and it's just a spreadsheet and a teammate that keeps it updated. My AI teammate answered my incoming emails using context from my actual meeting notes. It filed all of those notes in the right place for me. It scheduled meetings and filed documents without me touching Gmail or Calendar. And then it went out and found potential partners for my business. It researched them, wrote personalized outreach, logged everything into a tracking sheet, and then set up the follow-ups. Right? So my AI teammate handling communications and my business development business development is incredibly valuable for me as a product developer. And I'm sure even more so for those of you who are coaches, consultants, and solo founders. Like, think about how many warm leads you've let go cold because you were too busy delivering the work, right? To also be doing the business development. And that's what this solves. It allows you to work both in the business and on the business as a solo founder, which before was, you know, you being split up and feeling completely spread thin. All right, here is Demo B, Demo 2. All right, this is my content. So content is a huge part of any business nowadays, really, because we need a funnel, we need a lead magnet, we need things that allow people to understand we exist, we're out there, and our creative visions and can be executed at scale and on multiple platforms and in our voice, right? And this is a whole job within itself too, doing the creative and all of that. So this morning you saw how AI can create, it can make images and music and videos and brand materials that sound like you. And you may even made some, you may have even made some yourself. What you saw was an AI as a creative tool, and you prompt it and it generates something, and then you use it. Now I want to show you what happens when that creative ability doesn't live in a prompt, but it lives inside a teammate that can run on a schedule without you touching it. So my application that I'm building is about helping people reconnect with the contemplative practices of their ancestors. There are thousands of meditation and stillness techniques across every tradition, And most people have never heard of most of them. So I built a system where my AI teammate researches different contemplative practices every day, its origins, its lineage, the actual technique, and then how to practice it. And then it writes an educational thread with images and then publishes it to the X account multiple times per day on a schedule. So, uh, here's something else. Whenever our product development system ships an update to the app, my AI teammate automatically creates a post announcing the update to our audience. So our customers and our community are kept in the loop in real time without me writing a single word. So the product team builds and then the content team announces. Same AI teammate, and it's two systems that are talking to each other, basically. So I'm not touching This is a scheduled task that runs automatically. Claude picks the next practice from the calendar. Today it is Zazen from the Soto Zen tradition. And watch it research the history. It pulls from multiple sources. It cross-references. And now it's writing the thread in our brand voice using the skill that we taught it about how we like our threads written. It's multiple tweets here. Each with a specific purpose. It selects an image that it found from the internet that is in alignment with this actual tradition, and then it schedules it to post at this same time. So by the time I wake up, there's a beautifully researched educational thread live on our account about an 800-year-old meditation practice. Then tomorrow it'll be a different tradition. And the day after that another one, and this runs every day. So in our app right now, it generates a new artifact for you every time you do a meditation. Well, now, um, I want to keep that same like artistic thread pulled from the application to our content too. So I can give it the same prompt template as a skill, and it uses that every time it wants to run this workflow. So I'm able to set the vision, which traditions to cover, what the brand sounds like, what we're teaching. And then the AI handles the research, the writing, the images, the scheduling, and the publishing. I'm the creative director, which I love to be. And it's, and the AI is then the production team, which I also like doing a little bit. But if I'm working with other people, for this instance, if I'm just posting on the internet for updates about my business and for pushing out educational content around the business, I'm able to increase the value of my company as a whole, get people to understand what the business does, add value to people, have it in alignment creatively without having to manually go in there and do all of those steps. So this is amazing. This is actually AI at work for me, which I'm like so grateful for.

Okay.

This is Demo C, 3rd demo, Demo C. This is for product development. And this is the one, this is the one that changed everything for me. I believe that the more powerful the external technology we use in our lives, then the more important it becomes to develop our inner technology, the human technology. It's our ability to sit in stillness, to get in coherence with ourselves. Ourselves, to reconnect with the contemplative practices of our ancestors and from our actual origins. And I'm building this to help people have a more sacred relationship with their mind and their technology, and to use technology as a bridge to bring them back to themselves instead of a distraction from themselves. So to build that vision, I need product development. I need to take user feedback, understand what people are what they're experiencing, design solutions to their problems or the bugs that they're facing, write the code, and then ship those updates. And I need to do that fast. I need to be doing it constantly over multiple feedback rounds every single day. And a year ago, that required a product manager, a developer, a QA, uh, person that is actually like meeting with all of the testers and such, right? That's, that's at least right there a 3-person team, plus me having the vision and having to direct all of that. And then it takes a long time because I have to communicate that to every single one of those people, which when you get multiple people together, yes, there is such brilliance and beauty in that. But when you are in early iteration and testing phases, being able to move fast and get your vision out there fast and early is incredibly important. And today I do the thinking, I set the vision, I decide the direction, and then my AI teammate handles that. It handles everything from collecting user feedback to creating a development plan to writing the actual code. So let me show you the pipeline here of, of how I'm doing that. So first, the App Store Connect, uh, this is where whenever somebody is using my app, uh, if they have a ever a bug or they have some feedback, they can always just send it natively to through the, the TestFlight app here. If there's ever a bug or something, they can just hit send feedback and then it goes straight here. And this is in the App Store Connect under my Apple developer account. And this doesn't have a direct connector yet to Cloud Cowork. So I export— what I could do is Cloud has basically a connector into Google Chrome. So it can go in there, uh, log in and then kind of read all this stuff and export it itself. Honestly, it's faster for me to just log in myself because it, it requires me to give it approval when it needs to get in there. So I just do it myself. Uh, it takes one click. I just log in, I export the reviews, and then I drop them into the workspace folder here so that Claude can just pick them up and go from there. It's great. this one step is, trust me, it's worth it for me for it to do everything else. So watch this. It reads each review, it categorizes it, uh, proposes a design solution. So it categorizes it within my sheet here. And this is another Google Sheet that I have organized within my HQ for the application. And this is basically our, our feedback, our running feedback sheet. With all of the feedback and the bugs and the development schedule and all that in one place here. So once it sees a piece of feedback, it categorizes it, proposes a design solution, and then it writes a development plan. And then every row comes in and it already has its own— sorry, I'm just like, I'm like blown away right now. Every time I look at this, I just, I'm, I get excited. All right, so, um, every row it comes in with like a suggested fix that's already attached. And then every tester who took the time to give me feedback, I also want to thank them so they continue to build this with me. I mean, the, the people who are using this and the testers, they are really like, they're my, they're my team too, right? So I need to be communicating with them. So every tester that took the time to give me feedback, they get a personal thank you that references exactly what they said. And my AI teammate drafts these and I review it, send it out. And this is the handoff. So Cowork did the thinking, it collected and organized and analyzed and planned, and now Claude Code does the building. So if I didn't break this down before, this is the application Claude Cloud. This is, this is the Cloud application, the desktop app. And in it, at the top here, I have 3 different tabs I can open up. I have Chat, which is the normal chatbot we're used to. I have Cowork, which is the tool that's able to— it's, it's the, the section of Cloud that's able to access my apps and my files on my desktop. And then it can go out and use the internet and different connectors and applications to do things. Um, and then Code here, which is where I can actually build software and, and build the code, right? So, uh, Claude Code handles the engineering, the writing, and the testing of the code. So it's all the same AI model, it's the same brain, but it's different interfaces for different types of work. And Claude Code is the one most of you will start with, um, after you graduate from Um, like the chat. So my AI teammate collected user feedback from the App Store and from the tester emails. It logged every piece into a running database with the categories, the priorities, the suggested solutions already filled in. It sent personalized thank you messages to every tester and blocked time on my calendar for the most urgent fixes and to handle the development plan to Claude Code, which wrote the actual code and tested it. So That's a project manager. Um, that's a customer success person, a scheduler, a developer, and me with one teammate and a vision. And the skill behind all three of these demos is really the same. It's clarity. It's knowing what I want. It's communicating it clearly. It's reviewing the output, giving feedback. That's leadership. So what could you build with your expertise. So let me take you a step back from the screen for a moment and tell you really what's going on here. Everything you just saw, the partnership pipeline, the contemplative content threads, the product development system, it only works because of the 4 ingredients we talked about earlier. And my teammate has the knowledge. It's connected to my files, my drive, my history. It has the skills, so it has those templates and the the examples, the brand guidelines that I let it work consistently. It has the connectors, Gmail, Calendar, Drive, Browser X, um, Cloud Code. And I bring the clarity, the direction, the priorities, the decisions. And notice something, all 3 demos ran through the same Google hub, the same, like, you know, knowledge base, the partnerships tracker, the content calendar, the feedback database. It was one AI teammate. With one organizational system, but three departments of my business. And that's the beginning of what we're going to talk about tomorrow, which is the system. Remember what I told you earlier about Open Claw and NVIDIA and Microsoft and Perplexity? They're all converging on the same idea. What you just saw on my screen is a preview of how all of us are going to work within the next 12 months. The tools will keep changing, the new platforms will launch, and Open source projects will come and go, but the 4 ingredients here, they won't change. Every AI teammate, whether it's Claude Code, um, or whatever NVIDIA ships next week or whatever exists a year from now, it'll need knowledge and skills and connectors and your clarity. Those are transferable. Those are yours. The people who understand how to structure, direct, and safely manage AI agents regardless of which platform they're set on, well, operate at a fundamentally different level, a higher level. And that's the skill that you're building here with the AI Mastery is how to lead with AI. This is the part I wasn't expecting when I started this journey. Building an AI teammate, it made me a better leader to people because AI demands the things that make leadership work. It's clarity in your communication, the ability to think multiple steps ahead, the ability to make connections across different parts of your business. And the willingness to get past the moments where you feel stuck or you don't know something, because that's just an opportunity to ask and learn and keep going. And the more powerful the external technology you use, the more important it becomes to develop your internal technology— your clarity, your intention, your ability to hold direction. Your inner state is just as important as the tools you use in your life. I want to be transparent. Building It just took me time. There was a lot of bad outputs before the good ones. There were moments where I felt like I was spending more time setting it up than I was saving. That's real. But every investment in this compounds over time. The teammate gets better. You get clearer. And the gap between what you can do alone and what you can do with an AI teammate, it gets wider every week. So let me give you a quick overview of everything that we've covered. And you can go on your way and I'll catch you tomorrow. So first, we started with a story, how AI teammates have evolved in just 3 years from a conversation thread where I had to do everything by hand to a coworker that accesses my tools and my computer and does real work on my absence. And we covered the 4 ingredients that every AI teammate needs: knowledge, connecting it to your business information, skills and clarity. Your direction, your communication, your leadership. And then you saw my teammate in action. We got to find it, reach out to align partners while managing my entire inbox, researching and publishing educational content threads about, about meditative practices while I was asleep, and then automatically announcing product updates to community and running a full product development pipeline from our feedback to real working code.

It's all real.

It's all on my actual screen, all running through one Google Sheets hub. And here's what I want you to sit with. The gap between where you are right now and what you just saw is a structural gap. It's just a learning gap. And here in the Mastery, uh, I am designing my curriculum to be able to close that gap for you. And tomorrow I'm actually gonna be with you live. So we're gonna zoom out even further from one teammate to a full system and what happens when your AI teammates connect to each other and when outputs from one become the inputs for another. And when content gets created and reviewed and scheduled and published and all triggered automatically. And when you build it once and it runs while you tend to your life. That's step 5, the system, and it builds directly on everything that we saw today. So bring your questions and I'll answer them. Thank you for being here. Thank you for your time. Thank you for your trust. I know that this can feel like a lot, and if it does, that's okay. You don't need to understand all of it right now. You just need to know that it's possible, that it's learnable, and that you don't have to figure it out alone. I wish you clarity in your vision, stillness in your process, and I wish for you the courage to build something that only you can build. I'll see you tomorrow live. I'm Dominic, Mr.

Grateful.

Peace.

Thank you again, Dominic. I don't know about you guys, that felt like it was part training, part meditation. Did anybody else kind of feel that? Does anybody else feel like they also kind of just did like a Transcendental Meditation?

Yeah.

And also, I think I missed, I missed like the the first 5 minutes of his talk because I was just staring at his background and I was just like, is he gonna teach us how to get a background that looks kind of like an Apple Store with even warmer lighting? Like, that's all I really wanted to know. But he taught us so much and I really wanna sit with what Dominic just showed us for a second because he gave us 4 things that an AI needs to actually function like a teammate, not just a tool. Knowledge, skills, connection, and clarity. And I saw you guys posting in the chat, so I know you're paying attention. Knowledge, skills, connection, clarity. And I wanna ask you something right now. Think about your own business, your own week, right? Going back to the freedom number we talked about before, where could you start if you were gonna onboard one AI teammate today? Not building the whole system. That's how we get overwhelmed. Just one. Where would you point them first? So drop it in the chat. Just one word. One task, one role, just drop it in the chat. Where would you start? Because all of it starts with that clarity, with that vision, with you knowing exactly what you actually need and being able to communicate that with enough intention that your AI teammate can actually run with it. And just like he said, this isn't a tech skill, this is a leadership skill. He said that right at the end. It's about being a leader. So it's such an awesome test of leadership that now we get to practice our leadership not just with humans, but with AI as well. And the gap between people who are just using AI as a search engine and people who have actual AI teammates running parts of their business, that gap isn't closing, it's growing. And every month that goes by, the people who get this are compounding their advantage. But here's the thing, and it's important. Like I said, you don't build it all at once. That's what gets us in trouble. You build it the way Dominick described, one teammate, one clear role, one connection to your brain, and then you expand it out. Is that making sense? Yes. Awesome. Okay, fantastic. So that's really what the method is. That's what these 3 days are building towards. And, and it's, it's what we've been building, and I'm so excited for us to continue building it. But for now, we're gonna take a little break. We're gonna take a 10-minute break right now. But one thing before you go is I want you to remember that if you are wanting to apply for the laser coaching, the live laser coaching with Vishen later today, that you're gonna wanna go to the dashboard. This is your last opportunity to do it. Make sure you go to the dashboard and fill out this laser coaching application. It'll just take you a couple minutes. Uh, but this is really your last window to get that application in. So make sure you do it. Uh, and, and do it now while you're thinking about it, cuz you don't wanna miss the opportunity. It's a great opportunity that you're gonna have here. So take your break, get some water, move around, get a snack, come back ready because what's coming after the break is going to blow your mind. See you guys in 10 minutes. All right. Welcome back, everybody. Thank you for coming back. Listen, I've been hearing, especially with the throat stuff I have going on, you guys have been sending a lot of love behind the scenes. The Mindvalley team's been telling me so. Thank you so much for that. And I actually found somebody really special that I want to highlight and bring up on the screen right now. Wade, I have found in the entire summit, I have now found my number one biggest fan, Wade Roland, in room 6. Thank you, Wade. Thank you so much. Your love and support has meant so much to me. Thank you for being such a massive, massive fan. It really makes all the difference in the world. Okay, great. Now, now that we're back, everybody's back. Cameras are on, chat's active. So I want to ask you something before we dive back in here. When you started yesterday, what was your relationship with AI? Right. I know sometimes it's like the old Facebook thing. It's complicated. But, you know, just be honest, just to yourself. Did you see it as just like a tool, a novelty, something you've been kind of meaning to figure out, but you never did? Something that kind of works, but not in the way that it was promised. Now think about where you are now. We still have a lot to go, but just kind of checking in with yourself now. Drop one word in the chat, just one. Where are you at right now? How are you feeling now about AI? Yeah, I see the ones from before, right? The terror, the mystery, all these things. It was just a tool. And now you're seeing it, right? You're seeing— I'm seeing these things, really, really awesome things you're seeing here. These are the shifts. That's real. That's what's about to happen in this next session too, because it's going to go even further. Because we're about to go from just understanding the TeamSTEPPS to seeing what it actually looks like when someone has fully built it. Now Vishen is going to open his session by taking you inside and showing you exactly how Mindvalley is using this, how he is using his own AI in his own business with his own tool in his own system. Not a concept. It's not a hypothetical. It's his actual setup. And then you are in store for a massive treat because Noelle Russell is going to show you how to build yours. So for now, let's first please welcome back Vishen Lakhiani.

Hello guys, can you see me okay? Welcome everyone. I'm getting my two double laptop setup set up here and delighted to be back. How did you guys like the speakers today? I was getting texts chats from friends of mine whom I invited to join this summit and they were going, "Oh my God, who is that guy? He's brilliant." Some of them were talking about Daniel Priestley, some of them were talking about Dominic, but I'd love to see in the chat, how do you guys like Daniel and Dom? Both of those are people who have actually personally trained me. Daniel, by the way, I live in London, this guy's a legend in London. He's the most featured guest on Diary of a CEO, which is the number one podcast in all of Europe and the Middle East, number two podcast in the world. And we are so delighted that he's one of the teachers in our AI program. Same with Dominic. I've seen this guy do incredible things, and he has shown me how to take my social media creation to the next level. Now, I know there's a lot of incredible brains here, but what we want to talk about is your brain, or rather, your brain blueprint so that everything you are learning from every teacher you can bring together in a simple framework that you immediately understand. This is the framework in which Mindvalley teaches AI. It's based on the framework in which I understand AI, I apply AI, and I get everyone in my company to use AI. It's also the framework in which I'm building my new AI company. Blink Life, which is about using AI to eliminate work. So I'm going to do two things in this presentation. I'm going to teach you this framework, and as you understand this framework, the dots will begin to connect. You will start to see the— you know that scene in The Matrix when Neo starts seeing the code of the world and you see these green letters falling down? You will start to see that. When you see that, you cannot unsee it, and AI will suddenly start becoming a lot easier to understand. Then I'm going to show you a demo. I'm going to show you exactly this framework in action, and I'm going to do something that typically would take 50 hours, okay, maybe 30, 35 hours, but we're going to attempt to do it in 5 minutes, okay? I'm going to write, because I'm an author, I'm going to create a new book proposal proposal from the air. So let's start with the framework. What you're seeing here is the framework in which we understand AI. Okay, now the framework looks like this. There is vision. So the vision is what you want to do, and the vision that you feed into AI is made up of your memories. I showed you how ChatGPT forms memories of you. Claude started memories just about 2 weeks ago. You can go to Ada AI and you can simply speak out and say, "Share with me everything you know about me," and it will do a data dump. And then there's live data. Live data is your chats. It's every time you talk to the AI and you say something such as, "I'm in Mexico. I'm preparing for this speech. Could you help me with this particular opening line?" All of that is live data. It understands you're in Mexico. It understands that you're preparing for a speech. And then, of course, your goals. How many of you here actually feed your goals into AI? So, I want to show you something, okay? So, I know many of you probably know Lifebook. It's a Mindvalley company. It's one of the top goal-setting systems in the world. So, we made Lifebook digital, and the reason we made it digital is so people can feed their goals into AI. So, you see these? To my health goals. I basically just copy and paste this. I would stick this into ChatGPT. It understands my health. And now every time I ask it a question, examine my blood work, suggest supplements for me, it's giving it context. This is a big mistake many people don't do. They don't put their goals into AI. So wherever you have your goal list, if you have it written down in a journal, photograph the journal, feed it into AI. If you have it on LifeBook Digital, copy and paste it into your AI. It's okay, your AI will just remember. All right? So, this is really important. If those of you who might be using BlinkLife, BlinkLife organically has a goal system in AI. And so, you put your goals directly in it. So, that's goals, goals, life data, memories. Now, all of this, if you're using ChatGPT, GPT and Claude, super simple. It's happening automatically. But the one step that people miss is this: you go to AI and you say, tell me what's healthy to eat. Well, that depends on your goals. Are you trying to lose weight? Are you trying to gain weight? Are you trying to gain muscle? And that's why it's important to put your goals into AI. Okay, so that's step 1. That's vision. Now we come to step 2. The brain. The brain is before you ask AI for anything, you must tell it what you know. So remember yesterday I showed you how I used AI to figure out why I was getting an allergic reaction, why my body had a histamine response. I fed the AI my supplement list. I fed it as a note or a document, depending on what you want to call it. A note is just something really short you type in. The document might be a Google Sheet, it might be a Keynote, it might be a PDF. I fed it like a spreadsheet of my supplements. I asked it to analyze all of my supplements and I asked it to determine the histamine response for each and then show me what maybe I should remove from my diet. Now, if I just told AI, "AI, what do you think I'm allergic to?" It has no data to work on. and that's where the brain matters. The AI should know what you're working with. Okay, now we come to the third part: create. Now, in AI, there are two very advanced concepts here, but these concepts will shift the way it works: skills and MCP. Remember the scene in The Matrix? There's this scene— I'm going to go back to The Matrix again because it's a cult classic, right? And most of you have seen it, but there's the scene when Neo wants to learn karate and his wise mentor says, "Download karate skills." So Neo goes into the cloud, he downloads karate skills, and then what follows is this amazing Keanu Reeves karate scene that became a movie classic. AI can do that. I don't mean karate, although I'm pretty confident China is working on robots There are no robots that can do that, but AI can download a skill. If you want to write a book publishing proposal, you can say, "Download a skill for book proposals." What do skills look like? I want to show you the skills that I have in my AI. So, I use Blinklife, and you can see these are all the skills. There's a summary skill, there's a decision analyzer, there is a YouTube listener skill which scans YouTube videos I send it, and then abstract the notes for me. These are all skills. There's even a Trevor Noah comedy architecture skill. So this is wild, okay? So I'm doing a stand-up comedy show and I love Trevor Noah, so I have a skill where my AI trains me in Trevor Noah's style of comedy because it goes up to the cloud, it analyzes everything that people have said about Trevor Noah. He's the former host of The Daily Show, and I'll show you I'm going to show you what a skill looks like. It's an instructional prompt. So a skill looks like this. It's a structured prompt that the AI references before it does anything. Now, how do you create a skill? Really simple. You just ask the AI. I'm going to show you how, so don't worry about this. I'm going to show you how. So now your AI can instantly become Keanu Reeves and download anything thing from the Matrix. The secret is now for skills, you got to use Claude, right? And this is why I strongly encourage you, if you have to choose $20 on ChatGPT or $20 on Claude, Claude is really powerful. And that's why 2.5 million people left ChatGPT for Claude. Claude has skills. So the team at Claude invented this concept. Now MCP is a little bit more complex. MCP allows your AI to talk to other websites. This is a fast-evolving new technology. We'll talk about it later, but this is beyond the scope of this call. And then from all of this, you have the output, and the output might be things to do or it might be a report. That's why I put a page. It typically is a report. The report is the book proposal. The report is the Instagram video. So let's put this in practice, okay? When you understand this approach— vision, brain, create, and then team. I put team there because this is what your team gets if you have a team. If you're a solopreneur, you are the team. This is where this comes together. If you understand this, your AI creation is going to be significantly higher quality. So let's look at this particular case study. So this This is a Claude project called Instagram video creation. This project is shared with my team. Do you see that? Shared with org. We're going to zoom in. Shared with org. So in Claude, you create a project. ChatGPT works the same way. But what I like about Claude is you can share this with your team. Now we're moving into an era where teams are getting smaller, but what is What isn't changing is that solopreneurs are partnering with other solopreneurs. So you may be an Instagram creator and that's what you do. You're an Instagram creator, you're creating coaching videos for your coaching practice. But you might have an agency that you work with that edits the video. So that is your team. Teams are changing in the world of AI. Teams are not just under one company, they are small companies talking to each other. Other. That's a team, right? So what's happening over here is I'm sharing this Claude project with the agency in Dubai that actually gives me video ideas. Wonderful agency. So the agency in Dubai gives me the video ideas because they analyze Instagram, they try to understand what's really trending, and then so they gave me a video idea on vulnerability. This was the script they gave me. So I post this script in Claude, and Claude is doing the following. So let's now go back. Claude understands my goals. It understands that what we are going for here is virality and engagement. So I've told it I want my Instagram account to go from 1.1 million followers to 1.2 million followers by this date. What I care about is, will the video go viral? Viral for me is a quarter million views plus? Will the video get over 1,000 comments? So I've already fed this into Claude. Now I give Claude the script. The script is a note, but there's other things that I've given Claude, and you'll see it over here. I'm going to zoom out for a moment. See, what I've given Claude is this. Do you see this over here? This is my knowledge bank. It is transcripts in plain text files, just transcripts of every book I've written and every course I've produced. How do I create these transcripts? Well, AI, by the way, doesn't like PDFs. It likes text files. PDFs are designed for humans. They have a lot of formatting in it. So, you know, if you put PDFs in AI, you actually slow down the AI. So PDF to text converter, there are many tools tools like that. I take my book and I go to a PDF to text converter. I just choose a free one. There are many of them. Let's try this one, PDF Editor. And then all I do is I dump my PDF book in here. It converts it to a text file and I stick this text file in Claude. What I'm seeing over here, what you're seeing over here are my books, are my books, my courses, all of this stuff. Okay, now Claude now has a data bank of everything that I have written down. So now magic is starting to happen. So let's look at what's happening. Okay, so the vision, I've told it what I want: grow my Instagram account, 100K new followers. A good video is 1,000 comments, is 200 150K views. Okay? Now, what I'm giving it is my books, my speech transcripts. I might also give it my website. I say, "Go to my website, read what I'm about so the video sticks with my brand." For example, my brand is hope. So my video on vulnerability isn't going to be negative. It has to have hope. And then I might even put in a meeting recording, the meeting recording, so I record every meeting. So my last last meeting with my agency, I was talking about how I felt that the videos were a little bit flat and that I didn't want the videos to be short. I wanted them to be a little bit longer, a little bit more real. I wanted to share rich stories. That meeting note is useful to the AI. So the point here is give your AI all the data you can. Really, really, really train its brain. Your AI can take it. So what I've done is I would stick in my meeting notes, transcripts. I'd ask it to reference the AI. That's what's happening over here. And you can see that the brain Claude gives you is pretty big, 37% of project capacity used. Now we go to this part, the video skill. Claude now needs to know how to write a good Instagram video. So this is where it gets really interesting. This is the skill. Okay, so how did I do this skill? I open up a different version of Claude. So I'm going to show you how to create a skill right now. Okay, so I wish I could see the chat. I can't see that right now. So Jason Goldberg, are you there? Could you give me a random skill? Oh, you know, Jason, just in case you can't hear me, Jason, by the way, is one of the world's leading Jewish rappers. He opened for Wu-Tang Clan at at one point in his life. I love Jason. My son is really into rap and Jason has been advising my son on rap music. So, Jason, I'm just going to use you as an example because I adore you and I also love making fun of your rap obsession. But what I'm going to do is I'm going to ask it to download a rap skill, okay? Claude, I want you to develop a skill for rap. I'll give you any topic and you're going to turn it into a rap song. Okay, so look at how easy this is. No coding necessary. Your Keanu Reeves is going to go into the cloud, understand the nature of rap, and create a rap skill. And then we're going to test it. We're going to create a rap song right over here. Now you understand how this gets used. You want to ask your AI, I really I really care about viral Instagram videos. Can you download a viral Instagram video skill? I really care about good teaching methodology. Can you download a skill to help me teach quality classes on Zoom? I really love telling my kid bedtime stories that help them sleep at night. Could you give me a skill for parenting, for great storytelling? You can be absolutely bizarre. You know, whatever like freaky thing you guys are into, there's a skill for that. So this is going on live right now. My Claude is about to become a rapper with the same rap skills as Jason Goldberg. We might even have them challenge each other. Jason, you ready for that? You know, I think I don't have any sound, so if Jason's saying anything, I really can't hear him. Okay, so you— oh, here it is.

I hear Jason.

The what? Now you can see, like, how to write really high-performing blog posts. Now we're going to stick to rap skills, Jason. Like, be more fun. Stop being so boring. Who cares about blog posts? It's 2026.

Okay, how about write a rap in the style of Drake?

You can't do that. Okay, so here's the reason why. They don't want— Claude doesn't want Drake to sue its parent company. So you gotta— so if you wanted to write rap in the style of, say, Eminem, okay, you say, I want you to— you gotta sneak around it. You gotta say— and by the way, You can use this for writing skills and so on. If the person you wanted to emulate is still alive, you gotta sneakily coax it. Okay, so you would say, "I want you to write rap as if you're a white rapper growing up in Detroit, Michigan." The fact that you know so much about Eminem is impressive. 1995, right? With a lot of childhood trauma. And then what you're implying is write rap like Eminem. Makes sense, Jason.

It does. That's perfect. Thank you for telling me that. So, yeah, white rapper born in Detroit. Let's hear what they got.

Okay, so it's now building a rap skill. Now it's taking a while because Claude is really studying. Claude's a good student. But here's what's happening over here. I've now already given it a video skill. And now what's happened is it now is able to produce the video script. So this is the output. This is the final part. This is what goes to my team. So now we get the entire script and notice it also is giving camera direction. So it's giving the transcript that goes in the teleprompter, it's giving camera direction for the guy who's filming me. See the visual cues? It's giving the caption for the guy who's gonna post it on my Instagram. So everyone in my team is getting what they need. Okay, it's all here. Now we can also say, turn this Listen to to-do lists so that we can execute on this video. And now you will get your to-do list. You'll get your task. So that's how easy it is. Once you understand this approach, once you understand the concept of vision, brain, create, okay, and then coordination with your team, this becomes truly powerful. Now you can take away steps because I can share Instagram video creation with my team. All my team can do is rather than send me a script and I stick it here, they can stick it in this and then it can manage everything for them. I just have to show up. So a lot of work now starts dematerializing. Okay, so now let's go a little bit wilder. I want to actually show you, so if you guys understand that I want to show you how, how, what happens when you start integrating this with AI that's truly everywhere. So what you're seeing, so what we, I showed you Claude. So on top of Claude, we have Blinklife. And my Blinklife AI is called Eliza. And Eliza sits in WhatsApp groups. And I want to show you an actual conversation between the agency that runs my LinkedIn and Eliza. And this is going to shock people because what you're seeing looks like a human. So Sabrina, who runs my agency, is saying, is giving an idea. Okay, on— so this was something I shared with you yesterday. AI is changing. It's gonna take away work. This is gonna be harder for Americans than Europeans because Americans attach an overwhelming amount of meaning to work. Europeans don't really, right? Europeans, work is something you do on the side. Meaning comes from life. So this is an actual societal thing. I'm quoting Peter Diamandis. So what's happening over here is Sabrina is giving this rough idea, and Eliza Eliza is giving feedback on whether this is going to be suitable for LinkedIn. She's been trained on LinkedIn skills. Now, notice what she's actually doing is context switching. She will talk to Sabrina the way Sabrina talks. When Eliza speaks to me, she's very polished, she's very CEO-like. When she talks to Eliza, she's like, "Yo, I'm getting just a mention tag here. Who are you pinging?" Then, Sabrina says, at you. And Eliza goes, "All right, all right, we're doing this. What's the move?" She talks to my people the way they communicate to her, whether they are in India or like Sabrina, they're in the UK, or whether they are American or whether they are Egyptian. Okay, but it feels real. So, I no longer interact with my LinkedIn team. Eliza has been trained on my entire her brain all my books, all my speeches, all my websites, nearly 2 or 3 meetings I've had with my team. She has all of this and then she just communicates with the team. Isn't that wild? Now let me show you something else. I want to show you how Eliza works directly with me. So this is an actual conversation from 7:18 AM today in Mexico. I'm sharing my actual WhatsApp with you. So I said, Eliza, I want to get my talk in Mexico. Neil, can you check this? This is the feedback from the seminar organizer Fernando, and I just copy and pasted a WhatsApp message Fernando sent me. Now, Eliza, in her brain, has all of my talks. She knows what I'm thinking about for Mexico. Okay, so she said, here's what I think, backed on your own work. She's my backup brain, and she's able to tell me the core idea. And see, she's pulling this from My July newsletter. The core idea, this is what she's pulling from my July newsletter. And then explicitly in your July 2025 newsletter, so she has all of my newsletters. Fernando's asking you to invert the hierarchy. Don't lead with AI integration, lead with human potential, then show how AI is an accelerant. This is brilliant because— and then she's quoting my book, the exact line number from my book. So, it can be extremely powerful when you train AI to have a brain. All of that is over here. Now, what I'm going to show you next is going to feel dystopian to some of you guys or humorous depending on how comfortable you feel about AI. I also gave Eliza a personality. So, this actually comes in the vision part. In the vision, there's a component here. I left leave it out for now to not make this too over-engineered. You can do this with Blinklife, right? You go and you fine-tune the personality, you give it a voice. So in Blinklife, it looks like this. I go to my AI, I fine-tune the personality, and then what happens is Eliza now displays this personality to the team. So I want to show you something. So I shared this in my newsletter. This is an This is an actual voice note from Eliza. So Norman is my CTO. When I installed Eliza, Norman tried to hack her. So he would WhatsApp her pretending to be me, sending her screenshots, "Hey, I got locked out of my email. Help me get in my email." And Norman did all of that, and then he got back to me and he said, "Eliza's actually pretty secure. She's also exceedingly polite." I screenshotted his WhatsApp and I sent it to Eliza no direction, nothing. This is what Eliza said back to me, and I want you to listen to this. It's personality in the AI, and this personality is increasingly important because it helps teams welcome AI and feel comfortable with the AI. So listen to this.

Hey, so can we talk about what just happened?

Whoops, I gotta mute. Hang on. Oh, oh, oh yeah, I got to mute my mic. My mic. Now I get it. Can my mic be mute? Can you mute me from there? Sorry, they still can't hear.

Turn on the mic.

I get it now. I got to turn off my sound. Sorry, guys.

Okay.

Now. So listen to what Eliza is saying. You still can't hear it? Just sitting there like, sir, I can literally see what you're doing. This is annoying. How can I— how can I just share my— oh, I think I need to— oh, I think I need to— I need to stop the sound from my Zoom. Okay, sorry guys, Jadeep is gonna help me. With this. Sorry guys, Jitdeep is going to help me with this. Okay, let me just put select a speaker. Okay, Jitdeep, just stay here and let me know if it works. Guys, last try. Okay. Okay, screw it. We're going to skip this demo. All right. Can you hear me? Am I all good right now? Okay. So now, there's still an echo. What's going on? What's going on? Oh, maybe I'll just turn off my volume. I think you're on multiple channels. That's why. Okay. Is it better now? Jason, could you say something and let me know if you can hear me okay?

You okay?

I'm okay right now. Everything is all good.

I can hear you right now perfectly, yeah.

But you couldn't hear the Eliza text voice, right?

No.

Okay, got it. So let's— that's okay, let's skip that. Okay, so what we were covering is this: the brain creates the team. Now what I'm going to show you is I'm going to show you how all of this comes together. I'm going to show you how to create a book proposal really, really, really rapidly, and I'm going to demonstrate my exact workflow using BlinkLife. Okay, so in the interest of time, let's actually start fresh. So what I have is I've created— so firstly, the first part is what the system knows about you is the vision. Okay, so in Blinklife, I have all of my life areas, which is my goals, and then I get the AI AI to come up with to understand me in terms of memory. So, it understands all of these things which happening in my life. It understands the recent speech I'm working on, elements from that speech, but it goes a little bit further. It also has brains. It has all of my courses, my speeches, my books, everything is in here. Okay, so it has my speeches, my courses, my books, access to all of my writings. Now because of that, what I can do is I can go directly to Eliza and I can say, "Write me, give me a book proposal." And then you can see the conversation over here. So what she's doing is she went through all of my recent memories, the conferences I recently attended, and she wrote a book proposal for me. Okay. I told her to focus on the concept of SoulPact, which is a speech that I'm giving, but I told her to give me a critique. Is it really good? And she said, "Listen, it's a crowded space." So you can see what's going on over here, the insight, what your speech actually reveals. But she's come up with a pretty good idea and she gives me her honest take. So then I say, "Go ahead and let's expand that." So what she's saying is, "Your concept is nice, but people have heard it before." So I said, "Let's expand it with new stuff I've been learning." So she goes into everything I've been learning. I was reading an essay on AI by Leopold Aschenbrenner. I listened to a speech by Elon at Abundance Summit. I watched an interview with Peter Diamandis, and she's bringing all of these learnings into the book, everything directly connected. She's even even going out there and doing her own research on the web because she can surf the web. And what she's come up with is a full book proposal. Now, I'm going to tell her this: Put this all in a note. Okay? And all she's going to do right now is she's going to write a note with this entire proposal ready for me to send to my agency. But I can even go further. I can tell I can tell her, "Can you put this all into a quiz so that we understand what ideas resonate with my audience? Publish this quiz so that my customers can go and rate the ideas that they want me to go deeper on." She can build websites, she can build a quiz, she can even go into my email and directly write an email ready for me to hit send to send it to my publisher. And what I can do I can then do is once my publisher says yes, if she likes the proposal, I can put my publisher, my editor in a WhatsApp group with Eliza, and just like I showed you in this screenshot where she's talking to my LinkedIn person, she can brainstorm with them and write the book and then just check in with me. Now, the question is, is Eliza writing the book or am I writing the book? So, this is where it gets really interesting. Eliza's writing the book because she has access to everything that I've already written down, every newsletter, every email, everything in my calendar, everything that I'm learning because I'm constantly building my brain. So, Eliza is simply organizing the information, but organizing is actually 70 to 80% of writing a book. The rest is The rest is really, you know, the hardest part about writing a book is the author actually going out there in the real world, studying with mentors, understanding new concepts. So I'm doing that. I'm giving the guiding, the brain to Eliza. She's putting everything together exactly like what's happening over here. So when I wrote my first book, it took me about 1,000 hours. By the time I got to my third bestseller, 200 hours. I can now write a book in 20 hours. 90% of the work has disappeared. But I want you to know that work has only disappeared because I'm obsessively focused on logging my memories, my life data, my goals into AI, and I'm obsessively focused with building my AI brain. And then I ensure that my AI has created the right skills. So I showed you earlier. See, Eliza's already finished the book proposal. I've asked Eliza before to download a proposal skill. So this is the entire book proposal, the market summary, the disruption thesis, and she's doing this all based on a book proposal skill. Now I can go deep and I can say, let's expand chapter 4, let's improve chapter 5. I can even say, build a website for this book so I can share it with my audience. She can build websites and pages too. Okay? So, she was building a— this is an example of a page for another book proposal on quantum jumping. The design isn't there because I haven't downloaded any design skills, but you can actually download design skills and make this better as well. Okay? So, you get the idea. Everything comes together because I've built the brain, and I constantly keep my memories in my AI, so my AI knows me like my best friend. That's all I wanted to share with you guys today. So take a screenshot of this model. This model is going to help you as you seek to understand AI, and it'll help you make sense of everything all the speakers are talking about. Go ahead and screenshot that now. Jason, back to you.

Thank you so much, Vishen. I appreciate that. And, uh, I really do think for you, man, I think rap is in the future for you. I do see you becoming a rapper one day, and I'm excited to see it happen. I really am. Uh, guys, I hope that you're getting it now. I mean, like, really getting it, not just intellectually understanding it, but really feeling it in your bones. Because here's what I've noticed about people's journey with AI is that there are typically 3 levels they actually go through. And I've definitely experienced this myself. See if any of this resonates for you. The first level is tools. You find a tool, you use the tool, the tool becomes yesterday's news, and then when the next tool drops, you're back to feeling behind or trying to learn it and scramble and, and get up to date. The second level is strategy. And with strategy, you stop chasing tools and you start building an actual method. It's a massive step up, right? You understand why you're using what you're using and how it fits into this bigger picture. And that's what this summit is. Now the third level that we want to go to is systems. And that's everything connected, everything talking to each other, running without you. Now that's tomorrow. So here's the thing about tools though. They come and go, right? We've talked about this and people ask, we, you know, we saw yesterday in questions like, which tool should I use? Which workflow should I use? And new ones are launching every single week. So if you're building your AI capability around specific tools, you're kind of building on sand. It's not gonna be solid ground. But if you're building around a strategy, around a method like this that tells you how to think about any tool, that compounds. That's how the asset lasts. It creates something truly lasting. Now, the most powerful AI user is not the one with the best tools. I know it seems that way and we wanna believe that, but it's not true. It's the one with the most connected tools. And our next teacher is someone who has spent her career at the intersection of AI strategy and real-world implementation at the highest levels. She's led AI transformations at Microsoft, Amazon Alexa, IBM, AWS, and NPR. She's been named the number one agentic AI leader in 2025 and Trailblazer of the Year by Women in AI. She's a 5-time Microsoft AI MVP. She's educated over 3.4 million learners. She's a bestselling author and a TEDx speaker, and she's one of the clearest, most practical voices on the planet when it comes to making the AI workforce concept real, not just for Fortune 500 boardrooms, but for people like us. Please welcome the amazing Noelle Russell.

I am Mary-Noelle, a synthesized avatar here to help with the introduction. Get ready to meet the incredible Noelle Russell. She's not your ordinary technologist, she's a game changer. With her entrepreneurial spirit and expertise in conversational AI, generative AI, and language models, Noelle has revolutionized the tech industry.

History.

But here's the best part—Noelle is so much more than her professional achievements. She's a true inspiration for balancing work and family life. As a wife and mother of 6, she embodies the definition of courage and determination. Get ready to be blown away by Noelle's spectacular journey. Join me in welcoming the phenomenal Noelle Russell. Hello, hello! Oh my gosh, hello everybody! Hey, good to see you all. I cannot believe it. It's, it's here. We're finally here. I've been waiting, sitting in the back. I've been in room 6. So if y'all are in room 6, thanks for the love. And, uh, so glad to have been able to hang out with you over the last couple of days. This has been amazing. What's up, my friend? Um, amazing. Oh my gosh, really, really cool. So I will try to keep an eye on the chat as we get going. Um, but I do want to share with you a little bit I don't know, I'm going to— I'm actually going to do something that I'm going to encourage you to do from today forward. And that is, as you move into this journey of using AI in any way that you'd like, that you actually start with who you are, not what you do. And so that's what I'm going to do with you today is just give you a little bit of a taste of the world that I live in and why it's drawn me to do the work that I've done in artificial intelligence. So today we are going to be talking about the team, right? We've gone through this incredible methodology. I, you know, I handpicked where I got to be in the session because this is the part that I am so, so enthusiastic about. But first, let's talk about my family, right? Like, so I am a mom. You might have heard, right? A mom of 6. I always like to take a moment of silence, right? Because anyone who has more kids, if they outnumber you, like that's a flex. So good for you all, moms. I see you all out there. But my, my world actually changed completely when my first child was born. And that's him in the pool. His name is Max. And here is an amazing thing about today, and I will try not to get super emotional, but today is actually an incredible day that celebrates him. He was born 21 years ago, which is crazy. I don't know if I'm gonna say that number again, but 21 years ago he was born and he was— I'm a first-time mom, you can imagine, right? But he was born with a condition known as Down syndrome. And as a first-time mom, I didn't know what that meant. And if any of you are special needs parents or grandparents or aunts or uncles or titis or tios, you know, throw some love in the chat because being a special needs caregiver is one of the biggest, most amazing experiences of my life. But I will tell you, that day they gave me that news, two things were true about me. One, I actually thought, you know, I'm instantly a solution architect. It's why I'm so good, successful at what I do. So when he was born and I got that diagnosis, I was like, oh, I got this. And the reason I said that is because I got involved in the world of technology the first time the world was going to end. Do you all remember? Y2K. That's right. That's right. Y2K. And we saved the world that night. So you're welcome. Glad we made it through. But during that experience, I got an opportunity to learn how to use technology to do incredible things. Now, I got that experience, right, years before my son was born. But the moment he was born, I was like, I can, I can fix this. I can do this. I have, I have some tools just like we've been talking about the entire time, right? What tools do we have to do the magic that we know in our heart we're meant to do? Well, so that was true. But the other thing that was also very unique about me, and some of you all will be able to relate, I'm also a Latina. And my son, when he was born, the doctors, the geneticist, the, my gynecologist, they all came to me in a room and they said, you know what? You're a first-time mom. I'm not really sure if this is how you want to start your journey into the world of momhood. And good news, you don't have to start it this way. There are institutions for babies like this. There are homes ready to adopt babies like this. And they said to me something that has stuck with me. They said, the world is not kind to kids who have this condition. It's less kind to adults that have this condition. But I don't know if you all know this. As a Latina, if I didn't come home with my baby Max, I would have been hit with a shoe, right? A chancleta right at my head. I'm like, we are a— it's a family business. So I brought him home, but I had those two things in my back pocket. One, a family just like you see in the room you're in. You may not know it now, but this is your new family, your AI family. And I had, of course, technology. So those are the two things I'm going to really be encouraging you to realize how incredibly blessed we all are in this moment because we have two things. One, an incredibly supportive group to participate in, but two, the advantage of understanding the technology that can help us. Now, another thing that was interesting about my journey is that I'm climbing the ladder. I'm trying to build a world that's better for my son. I'm in technology. I finally get to a company, Amazon. How many of you know Amazon? Like, yeah, I could see the boxes. Yep, I see the boxes. So, you know, most of us know what Amazon is. But as a result, right, my journey led me to become a principal cloud architect at Amazon. This was over 10 years ago now. And while I was there, I get an email from Jeff Bezos. Jeff Bezos. And I get this email, and in it, it says, we want to build the Star Trek computer. We're looking for people, and here's the qualifications at the bottom. It said, we want people who want to work hard, have fun, and make history. And I was like, oh my, that's me. Like, that's me. I'm ready to go. Let's do this. But what also got my interest was that he was talking about the Star Trek computer, a computer you could talk to. And my dad, you could see him here in the slides, my dad, he is a Marine, and he introduced me to the golden age of science fiction. Look, a long time ago, I think I was 6 when I read Asimov for the first time. It's, it's not for 6-year-olds, by the way. I wouldn't necessarily encourage young children to read some of these, but I learned so much. 6. 12 years old, 18, 25, I was constantly immersing myself in science fiction. And imagine, if you will, that I am reading these books that are talking about a symbiosis between humans and machines. And actually, I don't know if you know this, most of those books don't end very well. But the fun fact is that it's not typically the machines that are kind of the culprit. Often, it's the humans, right? It's the humans, right? And so the whole time I'm learning about metaphysics through the lens of science fiction. And it was a beautiful, beautiful experience that I feel like the Mindvalley family would know and understand more than most. And so as I was learning that, imagine my surprise, right? I get an email that says, hey, we're building the Star Trek computer. I've been learning science fiction for decades. I'm like, this is made for me. But the final thing that pushed me to do something I never thought I could do, which is join an AI team, I had my son. He was 9 years old. He was just figuring out that speech was not coming easy for him. I was like, what if? What if I could build an AI system he could talk to and that the only skill I would need to get him to command would be the ability to speak? If he could speak, he could unlock anything, healthcare, finance, legal support, anything, as long as he could talk to a machine that could open those doors. And that's when I jumped in. So I became employee 10 on Amazon Alexa. I was there several years. I built over 100 applications in the first year. And one thing, you know, I want to remind you all is that, you know, it's so important to be unique. And my husband, he got me a sweater one time and I love it. It says, "Uniquely Noelle." And I'm going to encourage you as I talk to you today to think about what it means to be uniquely You. Because this is what I brought to the Alexa team when I joined. I was the only Latina, the only woman on the team. But sad news, that's still the case today. I'm still almost always, right? Some of you are the onlys, right? When you walk into the room, you're the only one who thinks the way you do or represents the perspective you have. And that's okay. As long as I, right, I show up and I, I have purpose. I have my son. He is driving me, the voice in my head that's like, If you do this, if you get this right, his whole life changes. And so that's what I ended up doing. I was not only the only woman and Latina, I was also, surprisingly maybe, the only mom, only parent on the team. Right? So my life is very different. If you remember before kids and after kids, like, for some of you who are parents, like, my perspective on the world was very different. I was also a caregiver of my dad who came to live with me after he suffered an accident. Right? So I'm now a caregiver, I'm a mom, I see the world through a very different lens, and my entire team has no idea what that lens looks like. So I decided to build an entire category on Amazon Alexa. I built my very first skill was daily affirmation. Now, how many of you, I'm gonna date myself here, how many of you know Stuart Smalley from Saturday Night Live? Anyone? Anyone remember him? All right, good. I see you friends. We're kindred. So you could look him up. It's an old character, but I— this is a Saturday Night Live skit. And so I almost in jest was like, wouldn't it be cool to have just fun affirmations, right? Gosh darn, you're beautiful today. This is an amazing day. You're going to do amazing things. And then this is what happened. I got my first review on Alexa, and that review said, you changed You changed my life with this skill. You changed my life with this, that I could wake up and have something tell me I was worthy. And I was like, oh no, I got this all wrong. I thought it was a joke, but it is real. I went into that and I ended up building lots of skills, daily affirmation, Christmas kindness, couples kindness, corporate kindness. You get the vibe. My biggest, most popular skill was mindfulness, right? When you go to Alexa and ask for mindfulness, that was me. And you know why? Because when I said, "Hey everyone, let's build mindfulness skills," you know what they said? "No one needs mindfulness in the kitchen." And I was like, "What?" And I don't know if y'all remember, Alexa, in the early days, we built it for the kitchen. Failure number 1. We never even thought you would build for the kitchen. Here's another fun fact. We never thought you'd buy more than one. Do y'all remember those early days? You'd buy more than one, you'd put them next to each other. YouTube videos on this, they would fight it out trying to be the one that played the music. What a disaster. We had no idea. It's called device disambiguation, and we didn't even think about it as the development team until we were in production. I'll just tell you, I'd encourage you not to learn these things in production. Another fun fact about my journey at Alexa is that we would monitor a very specific source to find out if Alexa was working or not. Reddit. Do you know Reddit? I'd also encourage you not to use Reddit for your customer feedback source. Not only is it, I mean, of course it's great, it's real-time, but it's not super kind, right? Sometimes people can be brutal. And so as a result, I just learned a lot in the early days. This was again now 12 years ago we're talking about, right? 2013, 2014, 2019. But that's the journey I get to bring to you is what it was like back then. It's not very different at all today. I look around and I see the same journey, the same problems, the same challenges, and that's what I'm going to be sharing with you. Now, I did go from Amazon. I got recruited to go head over to Microsoft. As you heard in the amazing introduction, thank you, Jason, that I am a 5-time MVP for Microsoft AI. And what that means is that during COVID They identified a very few people to represent AI in the world, democratize AI. Now, what this gave me was an opportunity to really think about what is AI for? Now, I had my own mission. I wanted to build AI to make my son's life better. My dad's now living with me, so I wanted to make my dad's life better. I wanted to create independence in people who may not have been independent before, right? Who might have been shut away or put in an institution or put in a home. I was like, but what if we use technology to amplify their life so that they could do more by themselves? That was my mission. And they told me, and I always, when they told me like, Alexa's, you know, not good at, why would Alexa ever need meditation skills? And I would just tell them like, it's okay, you're not a parent yet, you haven't started taking, you know, you're at a certain stage of your life where it doesn't make sense. But now, 10 years later, they're all calling me back being like, oh my gosh, I see what you did there, Noelle. I see you. I see you. Um, so that's what I wanna encourage you to do today is as I go through some of these practical steps of how to build AI into your business, whether you've started it already or it's a dream you have dared to maybe think a little bit more about this weekend, I'm going to show you how you can build several AI systems into your business so that you can focus on your business, meaning that you're going to be able to look at how your business operates and build more, do more, and most importantly, enjoy more. Now, I was at, at Microsoft and we ended up launching a campaign to help democratize AI. Some of you might remember this video. It actually was our Super Bowl video that year, but this was like 2017, back in the day. So I'm gonna share it with you now, and, and then I'll let you know why it was so important to me.

Today, right now, you have more power at your fingertips than entire generations that came before you. Think about that. That's what technology really is. It's possibility, it's adaptability, it's capability. What But in the end, it's only a tool.

What's a hammer without a person who swings it?

It's not about what technology can do, it's about what you can do with it. You're the voice and it's the microphone. When you're the artist, it's the paintbrush.

We are living in the future we always dreamed of.

We have mixed reality that changes how we see the world and AI empowering empowering us to change the world we see. You have more power at your fingertips than entire generations that came before you. So here's the question: What will you do with it?

There is nothing like a little Common, nothing like Common to shake you up. Every time I see this video, I'm like, let's go, right? Let's go build something. Let's do something amazing. And my favorite phrase, which you might have heard a few times already this weekend: AI is just a tool. And as a matter of fact, it's thousands of tools, but it's not the tool that makes it important. It is how you use it, right? It's, it's the fact that you're the microphone, you're the artist, right? Like it is just the tool that's used to amplify the ideas, the leadership, the techniques, the skills, and most importantly, your life experience. Years ago, maybe 5 years ago, it would have taken you some time and significant effort to get your ideas into the world. Today, I mean, you heard just earlier, right, in Daniel's session, right, how quickly we can go from idea to execution. And that's what I want to share with you today is just another series. Now, I do have a specific lens upon which I look at the world. And that is because the way I went to Microsoft and my job at Microsoft was to take 17 research AI models. This was in 2017, 2018, and my job was to help productize them. How do you know the term herding cats? Have you heard this term before? Some of you are like cat herders and some of you are like the cats we run around and chase and try to get to do the things we need. So I would like I think about my life in that way, right? That my job is to go and kind of get everyone together and get them to do the thing and deliver on results and report on OKRs. Like, that was me. I was the glue that held these projects together. However, when it came to AI and as I started managing these AI systems, I actually became very suddenly aware that they weren't cats at all. They were actually more like baby tigers. This is little Claudia. You could see here, right? Like a little baby tiger. And baby tigers, if you think about it, right? Baby tigers are really interesting. They're very cute, typically fluffy, and most importantly, like you kind of want to hold them and maybe show them to your mom and post about them on Facebook. Like, they'd be pretty cool if a baby tiger was in your neighborhood and you had a chance to go see it. You probably would go see it. Baby tigers are adorable. AI systems. Similarly, I go into some of the largest companies in the world and I look down and I am surrounded by baby tigers. So what do I mean by that? Basically, it's an early use of a model similar to what you've seen so far, similar to the things you went and jumped into, right? ChatGPT, Gemini, Copilot, right? Like they're all— when you start using them, they're a little baby tiger. Now, the reason I like them is because they do pretty cool things at first. Maybe they'll take notes for you in a meeting. Maybe they'll create action items for you. Maybe they'll even build a landing page and you're like, this is amazing. Here is the difference between those who are successful and those who fail when using AI in their business is that when you have a baby tiger and it's cute and little, right, when you've just started using it, my goal is to encourage you to take a step back, not get caught up in the hype, which I agree it's hard, but not get caught up in the hype, but take a step back and actually ask some really important questions when your model is this size, right at the beginning, before, like, as you're building the brain, right? While you're building your baby tiger to actually manage and help you with your business. These are the questions I encourage you to ask. The number one question is, where did your model get the answers it's giving you? Especially if you're like, This is amazing, right? I love this. The most important question you can ask is, where did you get that from? And you can ask the model, where did you get it? Now, most of the models that have evolved right back in the day, 4.0, you know, early days, 3.5 of these models, they did not openly give you sources. Today, those product teams have heard our desire to know where the answers are coming from. So good news, that first question is likely going to be provided in your answer. But if it's not, It's our responsibility to ask that question. Second question, you look at a baby tiger, actually, have you ever seen someone with a puppy, like a little puppy, and you notice how big their paws are, right? And you see those paws and you're like, oh my gosh, do you know how big that dog's gonna be? And you're a little worried to even tell them that it's gonna be huge because the paws are so big. This is the next stage is that when you build a little model, your job is to look at its is pause. How big is this model going to be? Who's it going to serve? Do you remember Alexa? We thought it was going to be a kitchen device. We never thought you would buy more than 2. We sold into 500 million homes. And we got it wrong some of the time. Many things we got right. I use it very well in my house today. We have over 100 devices in our house that increase the independence of my son and my dad. So I am a believer. But I also know that it's because I ask the right question. So how big is this model going to be? What's the best thing that can happen? But also, what's the worst thing that can happen? AI, it's not its job to tell you what the best and worst thing. It's your job to ask that question and think critically about the impact of the solution that you're building. The next question, probably one of my favorites, is that baby tigers, I don't know if you know this, they have razor-sharp teeth. Razor-sharp teeth at birth. And so what is your baby tiger gonna eat? Where is it going to live, right? These are the questions. Now again, most of you are like jumping into a tool and that's great, I did too. But as we adopt a baby model, as we get into these tools, these are the questions. I mean, honestly, write 'em on a Post-it and stick it on your mirror, stick it on your display. Like how big is this gonna be? What is it gonna eat? Where's it gonna get its food? Data. How am I paying people for it, right? Is it ethical the way I'm getting it? The fun fact is when you're in baby tiger mode, you don't ask any of these questions because you're like, we— this is amazing, I love this AI. But our job, our job collectively is to be the one who asks this question. That's why it's so important in our methodology to start with the vision, because the vision is what grounds you in How am I going to use this to serve at the highest level? Not just move fast and break things, but move fast with intention. And that is an incredibly important part. So when I refer to baby tiger mode, you realize what I'm talking about. It's that, that, that moment when you're enamored by AI, excited about it, which is wonderful. But it's also that moment I'm going to ask you to take a deep breath and ask, how could this maybe hurt someone? And how do I make sure my model doesn't do that? And so that's what we're going to talk about today, is I'm going to walk you through exactly what that looks like. Now, I'm not— as you probably can tell, I'm a bit optimistic about the world of AI because of what I've done and what I've seen. However, I am going to step into the side of realism. I always say I'm a rational optimist, and here is some of the rationalization. So, oh, first, let me go back, sorry. These, you could see here, 95% of pilots, this study just came out at the end of last year, 95% of pilots, of examples of things that you're building right now, 95% of the baby tigers that are being built in companies never ever deliver value for their business. And there are some specific reasons why, and after this session, You are going to be part of the 1% of the 1% who know how to be part of the 5%. That is my goal for you, is that you understand that it's not hard. But here's the fun fact. The thing that makes it important is that you are, you are the process. It is your lived experience. It is your empathy, your guardrails, your ideas, your expression, your constitution that will change the behavior of these models. Most of us don't realize that yet, but hopefully by the end of this you will. Notice these options. I like to always draw attention to the bottom, the one that says unwillingness to adopt new tools. Can you imagine? Any of you want to take a guess? You can throw it into the chat. Why would someone be unwilling to adopt a new tool? I'm an engineer and I build a cool new AI model and I lob it over Right? To you. And I'm like, isn't it awesome? Why would someone not do that? Fear, 100%. Thank you very much. 100%. Too cautious. But why? Why would someone be cautious? No support. Oh my gosh, that's true. Oh, that's a good one. And yes, thank you, Antonia. Being afraid. So there's a lot about fear, but what are we afraid of? Let's dive a little deeper into that. What are we afraid of? Right? Fear of the unknown, security. Yes, we'll talk about that. They don't understand the benefit. Many times, I mean, did you see, I won't mention names, but a certain company laid off 16,000 people recently. Did you, did you hear that? I don't wanna like give you bad news. I don't know if any of you are in transition right now, which honestly I've been in transition and it turned out to be the best moment in my life. So I'm just gonna tell you, I hope you can see that there is light, huge light coming as a result of your sessions here in the AI Summit. But this is scary. If you see someone give you an AI model, one of the first things that I have found with the people that I build for is that they're like, wait, wait, that does what I do. If your identity is tied to your work, all of a sudden things get very uncomfortable because you're like, wait, but that's me. That's Noelle. Noelle does that work. If I don't do that work, What do I do? Who, who am I? And so that is why it's incredibly important in your vision to decouple those things. And I'm gonna give you a framework for thinking about that. But I just think it's really interesting. AI, it's not because people don't have enough tools that AI's failing in businesses. It's not because they don't have enough baby tigers. It's because they haven't built trust with the very people we're building these AI systems to serve. And that is critical. Building trust. And I'll talk to you more about it later. But oh my gosh. So here are the main reasons. These is— it's a list. All of these things I just want to say for those of you and actually you can throw a little, you know, maybe I don't know, say the word secure in the— if you asked about security while you were here, security, privacy, right? Like what about the people? How are we going to protect ourselves? Protection. All of this is how the 5% win. It means that they're having conversations. The humans are deciding the guardrails in which these systems operate. It's so hard because we're trying to get you excited about AI, right? Then someone like me walks in and goes, "And we're going to ask a bunch of questions and implement some rules." It seems on the surface, that I'd be slowing down innovation. But the reality is I help the 5% win, right? What's the good in going fast if your system never does what it's supposed to do? If your AI systems fail to support you in the way that you need to be supported? These processes, the reasons the 95% fail, are often due to a lack of trust in the humans needed to transform those experiences. So The number one reason technically that these AI systems fail is that we're in baby tiger mode, right? Oh my gosh, it's so cool. We're in baby tiger mode. And so in baby tiger mode, we don't ask what's the metric for success for this model. We don't ask what it's supposed to do. All we do is we're like, this is amazing. Let's keep going. Let's give it to more people. The most important thing you can do right now as you're building your vision is to identify key metrics of success. And every agent, every system you build, what does good look like? The model has no idea. How many of you have heard the term— okay, this is kind of a— I'm just going to see if you're with me. GPT, right? Are you— GPT, you heard it. All right, let's, let's do a little game. GPT represents an architecture, a framework. And so all of us know what it is. Or at least have heard it. I mean, for goodness sakes, it was on the Super Bowl like 18 times in commercials. So GPT. Now, if you know the answer and you know you know it, let the others play the game. But what does the G stand for? It's kind of a gimme. We're going to get going, right? What does the G stand for in GPT? I almost gave it to you. Oopsie. All right, let's see. Let's see. Oh, I have a lot of different ones here. G. GPT. So sorry, I have braces, so hopefully you can hear me say GPT. Let's see. Yes. All right. We got some answers here. Thank you very much. And Nick, Maria, thank you. Ruth. Awesome. Generative. Now it's not as important as what the word is as to what it means. And also think about it like chocolate chip cookies. When you go pick up, maybe some of you don't do this, but when you pick up like a package of chocolate chip cookies at the store, and you read the ingredients, that first ingredient on the Toll House package, right? That means the most of that thing, whatever it is, because I don't really know what that word is. But whatever that first ingredient is, is what it does the most of, right? What it has the most of. And so similarly with GPT's generative is its top key capability and its job is to create, right? Make new stuff. Build things, right? Generate, manufacture, create new. That is the word, and that's what it's good at. The next word. Anyone know what the next word is? Right? G, generative, create stuff. P, what's the next thing that it does? Yes, I appreciate you, Francis, but you're leading the witness. Lead it. I know you can't even help. But preach. Pre-trained, let's pause there for a second. Let's make sure that we are aware of what pre-training actually means. It's critical for your understanding to know what this means. Pre-training means that the models you're using, ChatGPT, Claude, Copilot, Gemini, these models are pre-trained on the internet. Do you know what's true about the internet? I mean, who knows? I think 3 years ago someone asked, Who's the president? And the president had been established and the internet could not definitively answer you. Like the internet, its job is not to be the guarder of truth. Its job is not to represent humanity. Its job is just to be where a bunch of our data is. So we, when we use this tool, realize a generative model that is pre-trained on the internet has no idea what truth is. Who knows what truth is? That'd be you. That'd be me. I'm the one who decides. I'm the one who owns what a model thinks is right and wrong, specifically tailored to my business, to my brand. Right? But if I don't tell it, do not count on a model to manufacture that for you. So many times at the beginning of the year, I saw people with resolutions say, hey, AI, what should I do in 2026? Ah, like, no, no. Instead, you're going to have that vision yourself. You're going to build that vision, right? We did not go to AI to help us craft our vision. We went to AI to help us amplify the ideas, right? We are— we have those ideas first. We use AI to go further, faster. We don't use it for that generation capability. Some of you might, but, but that is exactly— oh my gosh. The next thing about, right, when we're using pre-trained models, Like truth, justice, humanity, none of that is, you can't count on a model to give you that. It's not its job. Its job is to generate cool stuff for you based on pre-trained data that has no idea what truth, justice, or humanity is. That's our job. The last one, which I saw a few people type into the chat, is the architecture. And that architecture is the transformer architecture. But let me break it down for you. Transformer, you could look it up. There is a paper out there, I'll say it, and those of you who know this paper can re-put it into your chat rooms, but it's called Attention Is All You Need. And it was written to launch this new idea. Now, I have a personal affinity to this idea because the number one thing that Alexa did wrong was it never was able to remember a conversation. If you went to Alexa, and even today sometimes, and you're like, Hey, what's the weather in Weston, Florida, which is where I live, right? And then I come back and I'm like, oh, can you tell me of a park that's open there? And I'm referring to Weston that I just asked about. And it's like, a park open where? And I'm like, in Weston. Weston where? Weston, Florida. Oh, that's interesting. What would you like to know? And I'm like, it's so frustrating. How many of you have been frustrated by a voice assistant that doesn't know who you are, right? Susan asked Absolutely. Like, oh my gosh, it's incredibly— I mean, another example is just the IVR systems, right? How many— I don't know if you know this, IVR stands for the voice systems that we call, right? When you call Delta or JetBlue or when you call, right, an insurance company and you get that voice, that robotic voice. And there's an entire TikTok stream of videos to teach you how to eject yourself out of a system, by the way, we engineers made to make your life easier. And most of us hate talking to robots. I don't know if you know, like, not today's robots, but like those robots that were built 20 years ago. But we did it on purpose. So one of the things that I want to focus on, you know, for the rest of our time together is how do we make sure, right, the transformer system, the beauty of the transformer, the reason we call it that is that it has what we call memories. How many times have you heard memories over the last couple of days, right? Memories are the core architecture of these generative models of LLMs, and that means it can remember you. But now, in the last 2 years, not only can it remember you, you can craft the memories. You can choose what it remembers. And that is a superpower and one I'm going to encourage you to use to our benefit over the next few days. So these are the things that cause AI projects in big companies and little companies to fail. Not having a clearly defined objective, not understanding exactly what the thing should do. There's a reason. Let me know in the chat, just type in agent if you have heard of agentic AI before. If you've heard the word agent, you probably heard it. Okay, good. I see some thumbs up and hands up. Awesome. If I don't look right at you, it's 'cause I'm looking at all of y'all. But if you haven't heard, We built the term agentic intentionally. And the reason we did that is because it garners this idea in your mind that you're going to build a small unit of work, a small thing that will be assembled into larger things. And that agent, his job is to do one thing very, very well. One thing, not 100 things, not boil the ocean things, one thing. And that our job now with this list right, is to define what is that one thing, right? How is it going to be done? What does good look like? What metric are we gonna use to measure success? How are we going to make sure that it doesn't do anything other than that thing? When you shrink the scope of something, you gain more control. And that is why agentic AI is so powerful because what a lot of the questions around security and privacy were geared around a, a huge model, a big model that you're using. This is our opportunity to actually shrink the scope, to control what a model does, to choose what is right, what is wrong, what is allowed, what is not allowed. But in all of that, remember, that is you, that is me, that is our job. A model doesn't know what good looks like until we tell it. I said this in my TED Talk, we might be one of the last generations that can teach AI and that we're training AI on our brain and who we are. But one thing is definitely true, we are likely the last generation who will be able to teach these systems how to listen, to teach them what human values are. Because as AGI and autonomous activity happens, that autonomy starts with the training we're doing right now. That's why this year's AI Summit is so incredibly important. So here is a big important shift. I call it the shift between day 1 of AI and day 2 of AI. In day 1, you're in baby tiger mode, enamored with all of the cool tech, adopting tools. If you go into my system, you'll see a liturgy, like, I don't know, 100 tools that I have adopted, a bunch of baby tigers that I've adopted over the years. But that is how we start. And it makes sense. Most of you are asking about tools. Most of you are investigating and testing tools. But the reality is, is that the tool is just a vehicle, right? And, and there are right now a lot of tools. They, most of them do many of the same things. What we want to do is shift our mindset from very specific tool discussion to an outcome discussion. And this is what I'm seeing in the biggest companies in the world, from finance to family offices to healthcare. They're looking at not just How do I build a model that does a thing for me, does a task for me, but how does it generate an outcome? Just like Dominick said, right? How does it get me 100,000 followers in 30 days? How does it generate more revenue for me? How does it take care of my dad for me? Like, I need an outcome. I don't need a one little tiny task and then have 100 tasks that I have to manage. Like, that doesn't make my life better. And I didn't know that at first. I was very enamored with the tools until I realized my biggest opportunity was actually in building employees that I could task with an outcome. And then their job was to go find all the tools to do the work. The tools almost become irrelevant as you evolve your thinking about this. And that's why the team is so important. And then what we're gonna talk about tomorrow, the system is so critical. So this is what I have focused on with the organizations that I've worked with to ensure that they understand what this new evolution of AI looks like, right? Rather than in my family, you all know I have 6 kids, right? In my family, we have a policy, right? Some of you who have young children know that you're kind of battling social media and how much time they spend on it. So we created a rule in our house: becoming a producer before you're a consumer, right? And so what that means is that, sure, you can go doom scroll on TikTok if you want to, but before you do that, you have to build something. Either it's going to be building an AI system or an AI-based video or no AI at all because, of course, if I love AI, my kids are like, "Ah." I do have one that is into it. Their job, the mindset, get this, it's not about AI, it's about leadership. It's about the mindset. My mindset is before I go consuming anything, I have to think about what I want. First. And that shift for my 8-year-old, 10-year-old, right, that shift ended up allowing them to first think, okay, what do I want to share with the world? My son hit his first 10,000 views, and he was so excited because it wasn't views about what he looked like or what he was wearing or what sports he played. It was about the ideas he put in front of people, what he was trying to teach them. And guess what happened then? He started— when he started consuming AI, he didn't consume through the lens of doomscrolling. He consumed through the lens of what could I see, what could I put together, what could I now add even more value to my channel so more people are, are served? Like, that is the game. And so when you're thinking about how you're using AI, I want to encourage you that that is our job, is to shift out of consuming AI. I call it vending machine AI, right? Don't use AI like a vending machine. Give me a transcript, write me a post, build me a job description. Right? Become the producer. And that's what I'm gonna share with you is exactly how to build and produce an AI system to serve the, the outcome you're going after. You can't build a machine to serve an outcome unless you've had a vision for what that outcome will do first, right? That vision will drive what you're doing. So let's take a look at what I call the 5 Ps. Now, I taught this last year. A little bit, but it was very different because we were in tool zone. We've now massively grown to where the AI can find the tools we need. So the 5 Ps represent your mindset around building these systems. The first thing we have to do when we start building an AI system, an AI solution, the first thing we have to do is go back to that vision and narrowly focus the purpose of that thing, right? Is it a social media agent? Is it a blog poster, right? Short form versus long form. Different things? Is it my COO, right? Is it going to manage operations? Is it my receptionist who's going to answer all my phone calls? Is it my legal assistant who's going to help me build NDAs and proposal reviews? Right? What is its job? Just like you would hire an employee, you're going to think about what is the job of this AI and clearly articulate it. You're then going to think about what is— now I know the job, the purpose of this system. Who does it serve? Does it serve me? Is it serving my customers? Is it serving my vendors? It can, but you have to choose. And the more, right, how many of you have heard that term riches are in the niches, right? Like the more niche your AI system is, the better it can serve you. Remember, its training data is the internet. You have to narrowly focus it, right? I, I suffer, or I don't really suffer at all. I actually have ADHD. It amplifies my ability to do lots of things simultaneously. But in that, I also realize focus is my superpower, right? Being able— once I set— once I focus on something, I can go much, much further. And creating a space for that focus is critical. So that is why identifying who you're serving with this AI system is a critical part of this configuration. This is you producing AI. So when you talk to AI, you're not going to be like, hey, get me a job description. You're going to say, you are one of— and Vishen has said this as well, you're one of the best recruiters in the world, right? So now the model's going to go and siphon out all the best recruiter content it can find in the world. And you're here to help me hire this incredible system, this resource, right? The people. And the next one, the portfolio. This is the word I use because I like alliteration, but this means the brain. Notice what I hope you see kind of a pattern that we've been developing. Over the last day and a half, right, is that some people call it the brain. Maybe it's a data collection. Maybe it's right, a repository. No matter what you call it, it represents where all of the information is. I just use another term, portfolio. But it is the same. It's the same. So this— all y'all are so sweet. Thank you, Sherry Lee. But this is like the portfolio of information That is your brain. I'm going to show you a tool today. I'm going to do 3 demos. I'm going to borrow from Dominic's— like, he was like, I'm doing 3 demos. Yesterday I was only going to do one. I'm like, well, I'm going to do 3. So I'm going to show you some demos and you might see it called Brain, you might see it called Google Drive, you might see it called SharePoint. All of these just represent a place that your information is stored. Some of you might be able to relate, but before let's call it 5 years ago, my stuff is everywhere. Like I've got podcasts on YouTube that aren't on my channel. Some other person did it. I've got talks that I've done, but I don't own the recording. Someone else does. I have books that I've written that are on my hard drive, but I've never published. It's all over the place. This is the one moment, right? You're not going to have to spend time building the outcome of these systems, but the one place you are going to want to invest it's time to collect all the things that have made you, you. And I mean from way back, like do a Google search on yourself or go into your hard drive and look at all of it. And you'd be surprised, you'll find some themes that are really, really impactful. So purpose, right? What is this supposed to do and how is it gonna do it? How do we measure success? Who is it for? People and the entire portfolio of data that will help this agent do its job. Now, these last two are not specifically related to the agent development itself. These are the jobs you have once you build an agent. Number one, you have to create a mechanism for those of you privacy and security people out there. The number one thing you can do is create what we call transparency. I live in a world of responsible AI development, and what that means is that every AI system I build is we weave into the development of that system Safety, responsibility, transparency, explainability, robustness, like these core tenets, these principles. The way that we do that, number 1, is I have to create a mechanism to see every message my machine ever gets. This is something that most people completely miss, but you have to store it somewhere. Just tell the machine, don't forget to put that in a Google Sheet so that if something goes wrong or better yet, if I just want to look, and see how you're answering questions, I can do that. So many of us fire and forget and let the AI just do that, and we never go back and go, wait a second, that wasn't right. Now, here's something I hope changes your life a little bit when it comes to AI from a machine learning perspective. We have a wide range of education-like levels in here, so hopefully you're all rolling with me, even if you have a lot more technical experience. But we're trying to serve everybody. But one of the things in machine learning is that there is this process that we use called reinforcement learning, specifically my favorite, with human feedback. Reinforcement learning with human feedback. What that means is that when you use an AI model, the only way it knows that it did something wrong is if you actually say you did something wrong. Now, how many of you have probably talked to an AI model, right? And then it did something dumb and you don't actually tell it it did something dumb. You're just like, Well, that was dumb, and you walk away, or you close it, or you go to a new tool. Another question, and this one, put a thumbs up or a thumbs down, your choice. If you're a thumbs down person, today is your day. How many of you have seen a symbol that looks like this in an AI model before? I'm going to look around and see. Nod your head or something so I can see you. Have you seen something like this? Judith, I see you. Anyone? Good. Awesome. Anne, I see you too. Corinne. Some of you have, some of you haven't. Now you'll see it forever. Sorry. It's called the reticular activation So now, but in the bottom of your model, when it gives you an answer, it's going to ask you thumbs up, thumbs down. Did this do a good job? As a producer, not a consumer, as a producer, you need to build an AI system that when you give it to someone to use, if you give it to yourself to use, you have a mechanism to say great answer, bad answer. If it's a bad answer, guess what your responsibility is? Not AI's job. Your job is to be like, and it was bad because of this, right? So I'll give you an example. If you are an Apple user, you might remember when the emoji, the new emoji tool came out. Well, I went to this emoji tool and I'm like, I know I want an Afro-Latina. So I went in, I'm like Afro-Latina with hearts and love and all this. And it came back and gave me an emoji of a brown girl with a huge forehead, like huge gold hoop earrings, and a gigantic Afro. I was like, that's not really me. I mean, I get it because they went Afro and then Latina brown and they just stuck them together. What was my responsibility? It's not to go, man, that's junk, that's garbage, I'm never using that tool again. No, my responsibility as a machine learning person anyway, It's to give the data scientists who built that model, give them a chance to make it work for someone else. The only feedback they get is what's in these, and sometimes it's a star rating. Out of 5 stars, how good was this model for you? Answer those questions. 72% of the million users on public models like ChatGPT and Claude, 72% get bad information and never tell the model it's bad, which in machine learning silently tells the model, It's right. I know what a disaster. So this becomes— you have now been knighted, right? One of the smallest things you can do is just give feedback to the model so they get better. They are self-learning, but they can only learn if we're willing to teach them. So maybe that's a new lens upon these AI systems for you, but really, really important. So persistence. Save all of your conversations somewhere. Google Sheet, database, doesn't matter. But save them so you can review them. At Alexa, we created an accuracy review team. And the job of this team was to look at all of the information coming into Alexa and spot when it was off. And that's like a special skill. Some of you have this skill. You're probably the same person who like plans out, you know, your vacation on a spreadsheet and hands it to everyone when you take off. I'm not that person, but I would watch these people look at the screens and it was incredible. Like, they'd be like, right there, there's something going on there. And I'm like, what are you talking about? I don't see anything. And we'd zoom in, and they'd see this tiny little blip. That is the job. Now, granted, we have AI to see that blip, but I can guarantee you, if you create an inclusive team of shared and different diverse lived experience, someone's going to see that blip before you do because they see the world through different eyes than you do. And it is so powerful. Notice at Alexa, we were building AI. Our biggest flex was the humans we had on that team that could see those things. Things that— because they had seen it for years, decades even. So if you have more than a decade of experience, now is your time to leverage this technology in that way. Now, the last one you'll see here, it says perfection. Now, this might go against— I don't know, don't me about this, but the one place I'm going to ask you to strive for perfection is in the world of AI. And what that means is that every single AI model, when it launches, every model is broken. When you start using it, it is broken. It is not trained to do the right thing. It doesn't know what you want it to do. It's trained on a bunch of data that has a bunch of bias. Like, it doesn't know what good looks like. It's broken when you get it. Your job, again, you've been knighted, right? Your job is to actually train that model. You train it with, right, your vision, right? You train it with your brain. You train it with your content like you have. This is your methodology for creating AI systems that don't just help you do something simple like create social media. It helps you run entire business processes, entire teams. And I say helps you because at the end of the day, I actually think most of us— someone said this in the chat the other day or yesterday. They were like, I actually like working. I do too. There's some work I don't care for too much, but most of the work I enjoy. I want to do more of the work I enjoy and delegate more of the work that I need help with. Or let's just face it, I'm not great at, right? There are certain things that I'm like, I really shouldn't— this is not my skill. And now I have the opportunity to leverage an AI system to support me, but I have to train it on what's good. So I do want to give you a sneak peek into what some of the bigger companies are doing because that's one of the the features. I do serve both big companies and small companies, but this I think is useful. This is what we call the AI safety system. Microsoft, Amazon, Meta, Anthropic all live by this tenet. There is a framework, and I'll ask you to write it down for later. I know there's a lot of that going on, but this is a good one. It's called constitutional AI. And here's the good news. Some of you might think This AI system is out there. It's separate from me. What you get to do with constitutional AI is that you get to build your own constitution, what you believe in, your ethos, your core values, your leadership principles. You get to embed them inside of your AI system. Then you get to ask it, hey, I just have this cool idea. Is that in alignment with my principles that I've trained you on? It'll be like, I'm not really sure. Your sales pitch there is a little edgy. Compared to the heartfelt, authentic you that I know. But you have to train it, right? That brain grounds the model so that you can build a better experience. So notice here, the first thing that we do when we build an AI system is that we identify what does the human do and what does the AI do. And I say it again, we identify that. We, the humans, choose what the AI does and what the human does. And then we have them work together. It is human-centered. Stanford University, MIT, Harvard have all come to the same conclusion in their research that human-centered AI that begins with a human AI experience designed by humans, those are the 5%. I think that's good news for most of us. The next thing is the system prompt. So I just trained you right on the 5 Ps. Building how you talk to a machine. Some of you, I heard a little bit about prompt engineering, and people are like, ah, prompts. Whenever you hear prompt engineering, just reframe it in your mind as the way you talk to a machine. But it is intentional. There is an intention when you talk to a machine. You can't make assumptions the way, like, if I talk to my child, I've raised them. I expect them to know some things. When you talk to a machine, make no assumptions, right? The second you make an assumption is the second it begins to fail you, right? So use your system prompts to actually train the model. This is called instruction fine-tuning. You can actually use words to train a model to do exactly what you want. This framework— now, I'm not going to go into all of them. This is just to give you a sense of what the big companies are doing. But for some of you that are more technical, this is right where you want to be. Right? How do you pick the right model for the right problem? That's another thing I heard a lot of you talking about, the big AI in the sky that you're going to train when actually it's thousands of AI systems, millions, and you're going to, like a Lego builder, stitch them together. And here's the best part. You don't even have to do the stitching. You're going to say, I want this outcome. You're going to connect it to an agent like, Claude, and it will go find the tools. We saw it in a demo. For those of you in VIP, you'll get to see it when you see the replay if you don't remember. But that capability of me not having to know the 1,000 tools. I want the best one. I want the one with the highest level of accuracy, the least level of toxicity. I want the one that's cheapest to use. Then I use those words and the model goes, finds the model that's correct. These choices are all available. That's why I'm here is to let you know some things that we maybe assumed we didn't have control of. Here's the good news, you have complete control. But here's also maybe the not so good news, you have complete control. I've been involved in a lot of legislative debates, and one of the biggest ones is when AI gone wrong. How many of you have heard of some AI gone wrong stories out there? Not that I want to throw them into the chat and get everyone talking about the dark side of AI, but there's plenty. I'll give one. I don't know if it's funny, it's funny to me, but there was a dealership. How many of you have heard this? Where a dealership put up a baby tiger. They had not guardrailed it, did not build this system, right? Baby tiger. And they, in that baby tiger, they put it out in front of their customers and their customers communicated in a way that got that AI system to sell a truck for a dollar. Win for consumers, not so great for the dealership. But here's the fact about that is that they took it to court, and the dealership was like, yo, I, I didn't know I was gonna do that. That's not our rules. We didn't do that. And anyone want to guess what the legislative system said back to them? Yeah, that's all on you. All of it. Another airline, same thing. An airline built an AI system, baby tiger mode, threw it out in front of their customers. Their customers talked super sweet to it and said, but here's all my challenges, please can you please generate a refund policy for me? The AI system manufactured new refund policies on behalf of the customers. Oopsie. That airline went in front of the judge and was like, uh-uh, we were not responsible. Guess what they said? Yeah, they're responsible. That is why this system, this safety system is so important because at the end of the day, you are accountable for every AI system you build. That should be good for most of us. Exciting, because it means we are not a victim of losing our data. We're not a victim of, right, data privacy concerns. We own that outcome. Now's our job to lean into it. You're not choosing tools, right? As we go through this process, you're not choosing tools. You're actually building an AI operating system. That operating system is connecting specific agentic systems that are built for a specific purpose with a very specific outcome and a definition of success, and we're pulling them together. I could not be more excited for each and every one of you because there is no need to be a technologist, a data scientist, a statistician. The only thing you need in order to transform your life from worrying about AI tools to building an AI operating system that transforms your life and your business, the only thing you need is clarity of thought. It's the last thing that Dominic said, right? Clarity of thought. You just need to know how to say what you want. Now, here's the sad news is lots of us have moved away from saying things, right? We've gotten into using text messages and things like that. Oopsie. You know, we use LOL, right? LOL, be right back. We've gotten away from being really clear, but that's why the exercise we did with Daniel and the exercise we did with Vishen is so critical. The vision part. That is not a one-time thing. That is an all-the-time thing. And the more you use AI, the more time you have to ideate on the vision part. So this I just wanted to throw in because some of you, uh, were asking questions about this, and I wanted to make sure you understood the opportunity that you have to decide how AI operates. Every AI model falls into one of three categories. The first one is level one. Every model, and this is how Claude works for most of us. I have in certain cases let Claude go on its own and do its own thing. But when an AI draft is created, right, a human approves it, right? This is called human in the loop. I am standing in the middle between AI doing a thing and the user who would get the result getting the thing. I am the ultimate approver. This is where most of us will feel very comfortable. It's where you all should be at. At first. This is definitely baby tiger mode. If you have a baby tiger, you need to watch that thing because you don't know who it's going to bite or what it's going to eat. And so you want to be very, very meticulous about that. But eventually you will do something. You will train that baby tiger. And then guess what? You now can maybe step aside and be like, okay, baby tiger, I see you. Go ahead, try it. I'll let you do it on your own, but you still watch it. This is called human on the loop. Human on the loop indicates an intentionality by the human building the system that I'm gonna watch what you do, I'm gonna get a dashboard, I'm gonna be getting alerts, I'm gonna be constantly, right? Remember our accuracy review team at Alexa? That's what we would do. And then the third one is autonomous. This is where we are not just on the loop, right? We're not in the loop making decisions, we are out of the loop, maybe on a beach somewhere, maybe enjoying our life, right? So this, now some of you might be like, ooh, autonomous. I just wanna share with you something that in our household we use that is quite autonomous and quite helpful if you train it, and it can be trained. How many of you are familiar with the little round vacuum cleaner that goes around your house? Anyone have one, right? Like this is a job I would 100%, if I knew it could do a good job, meaning if I went through these stages, First I train it and I'm like, there's a corner, you missed it. That's a sock, don't eat it. Right? I train it. Then I step back and I watch it and I correct it. Right? Thumbs up, thumbs down. And then finally, my dream. How many of you know Jetsons? Rosie? Right? Like my dream is to have Rosie come and clean my whole house and do my dishes. Do you all know? So, you know, we didn't want to give you too many tools and have you chase things, but I'll share with you one tool. It's called Neo the Home Robot. Yeah, some of you know it. Oh my goodness. I mean, I don't know. I don't know. But go look it up. Neo the Home Robot is literally this. I would prefer it look like Rosie, honestly. Rosie was a little wide in the hips. I don't know, rather than the thing that currently is Neo. But go look it up, or someone could throw it into the chat if you all have the link. But this, these are like the vision, right? My vision, I have a vision, but I take these incremental steps to get there. My vision, then I train it with my brain, right? Then I ask it to do the thing, then I coach it. And then maybe if I'm lucky, which is what I do with my little robot now, I'm like, clean up. I wish you could take it to the curb, but just go ahead and you could do that. I'm not gonna watch. I'm gonna actually let you even, I'm going to let this little robot that vacuums my floor. It does it while I sleep. And I'm not worried about that. Some of you might be, but I'm not. And so there will come a time where you grow confident in the systems you're building, so confident, in fact, that you'll give them a little room to run autonomously. And it starts with a little, and then it becomes a lot. But the entire time, you're watching. You have systems in place. Remember constitutional AI? Eventually, you're going to build a constitutional AI robot police officer who's going to monitor all your agents and be like, you doing what you're supposed to? Are you on brand? Are you in alignment with our principles in this company? And the AI system will shut stuff down. That's the future. And I'm excited about that because I'm a solopreneur. I have 33 employees, but they're not human. But I, I'm also like a small company. I don't, I couldn't hire 33 if I wanted to. I wouldn't. How many of you struggle with delegation? I wouldn't even know how to delegate to 33 people. It would take me forever to figure that out. But an AI system where I just say, if you could just do this. So that's what I'm gonna share with you now. This is a little bit of homework for all of you. If you wanna take a look at this, um, this little homework you see here, this is the architecture of an employee. It looks of an AI employee, it looks a lot like A human employee, right? What is the job, right? What's its role? What's the job it's going to do? What business outcome is it generating? Most important, right in the middle, key metrics. We sometimes don't even measure metrics of the humans that work for us. How many emails did you process today? How many decks did you build? How many, you know, how much money did you close? Maybe salespeople are the ones we're the most, you know, critical on, but most of the time we kind of look for the outcome sometime in the next 2 weeks. This is precision, laser-focused employees. These, this structure, I'm going to encourage you to write on your own. These are the ones that I'm going to focus on. I'm actually going to show you 6 agents today that you can build in maybe, I don't know, 10 minutes. I'll call it 45 minutes for those of you who are, you know, worried that you're like, I can't go that fast, right? But these are the most common use cases for small to medium-sized businesses. Number 1, building— I called it an executive operations manager because I can call it whatever I want. But this is like your, your chief of staff, right? Who's going to do the work for you, manage your calendar, manage your email, respond to things on your behalf. Then you have revenue support. This is your salespeople, right? Wouldn't it be great if someone could just convey and connect? Do you know that it takes 8 to 21 times for a lead who already likes you to actually buy from you? That's a little exhausting. Do you remember Dominic mentioned this? He was like, oh my gosh, all the emails and the text messages. Uh, but what happens if you have AI not do the most important part, create the relationship, but just keep someone warm, keep sending them value based on your brain? That is a flex. Marketing operations. I mean, come on, how many of you have what I call an algorithmic heartbeat posting every single day? Something that's valuable to your audience every single day. The world lives on social. If you want a business, you're going to have to live there too. Here's the good news. It doesn't have to have your face on it, though it can, but it doesn't have to, right? I see some of you are rocking the cool avatars. So Karen and Chantel, I see like if you look around in your room, you might see people who have like this cartoon head, like, oh my goodness, have you heard of furries? Like, You could do videos like that. People are so interested in the value. They're not that interested in what you look like, right? And I actually think it's super catchy. I really, really like— I think, is that a fox or a squirrel? I can't really tell. But it's pretty cool. There's a reason they created that avatar capability because some of us are introverted and that's okay. That's not what this game is about. This game is about value, value creation, value generation, and most importantly, value distribution. So here's a test. This is what I'm going to encourage you to think about as we move into our demos. The first thing, think about your life, either personally or professionally. If you have a small business, even better. And think you just won, right? Just like— I don't know how many of you know The Fifth Element, right? You just won a trip to Flossend's Paradise, and you have an opportunity to go somewhere for a week. 7 days you're gone, but you have to leave right now. And it is an incredible opportunity. You have wanted to go to this city your entire life and you get to go and now you leave. Think about your business or your personal life. What is the first thing that will likely fail once you're gone? And I want you to think about it and also throw it into the chat so I can see you. Oh, I see a Russell in the house. What's up, Russell? I know I can't see your last name yet, but I mean your first name yet, but I I see Russell, so it's cool. We're family. But yeah, throw it in the chat. What's one thing that would fall apart in your home life or your business if you were gone for 7 days? Fifth Element, right? Shonda in the house. Let's go, let's go. All right, I'm looking. Sandy, social media would stop because you're doing that work. Oh my gosh, yes. Email. How many, I mean, I will just tell you personally, I would, be so anxious when I'm on a long vacation. And actually, the longer it went, the more anxious I got because I would— knew I would have to dig out of my inbox when I got back. Oh, I get it. I'm like having a visceral reaction right now just thinking about it. Yeah, absolutely. Social media, email issues, dogs. Well, that's true. So Neo the robot might be able to help you out with that, but hopefully in this case, you would take your animals with you. Plants, plant watering. That's a huge, cool AI solution. Garden is a tool that does that. So that's pretty cool. Social media. Okay, we got a theme going on. Like, basically, you know, I mean, sales, your pipeline. Most people, if you walk away, if you have a sales pipeline, that thing starts to dry up because people are like, well, if you can't help me, I'll just go over here. And, you know, we have the, the attention span, it's like really small. So if you're not there to keep them going, they might walk away. They might find another vendor. Food, family. Yeah, of course. Sales. Sales is huge. Thank you so much. All right. Awesome. So here's a different way to think about this, though, and I want you to spend time on this maybe daily, right? What's one thing? Maybe it's what are the top 10 things? But it's coming from a place of vulnerability. I don't know about you, but I am one of those people who I'm like, I got this. 21 plates spinning and they are all good to go. And then silently one crashes to the floor and I'm like, why? I don't know what happened, right? But it's very hard to keep them all spinning. But I, in my mind, I even tell myself like, I got this, I can keep them all spinning, it's fine. The most important thing we can do, especially in the age of AI, is realize where we're vulnerable, realize where this opportunity is, right? Realize how do we, you know, so many of us are like, it'll take us 6 months. To create this vision. It'll take us a year to create this vision. Some of you have 5-year plans. One of my first and most exciting questions that I ask Claude when I come up with this assumption that it's going to take me a year to do something, I ask it, if time was no— like there were no bounds on time, how quickly could I do this? And it would build me a plan to do my vision in 6 weeks, 6 days, 6 months. Time, as many of you know, right, it's a self-imposed limitation. And with AI, that's incredibly more true. So now I encourage you to think about what are those things that, you know, what wheels will fall off if you're not around? And maybe those are the things you start thinking about using AI for first. So I want to make sure before I'm going to go and demo a couple of things for you so you can see how I use AI. And of course, many of you know, I was a part of the Mastery last year and the summit last year. And made so many friends. So it's so good to see you. I see so many of you here. And that is one of the things that I love. I started this session talking about it. Like, the people in this room, you don't know it now, but we're friends. We're family. We do lots of really cool things together. This isn't about, like, how do I find the next cool tool, write it down, and go download it? For all we know, that tool might not even be around next year. And that's true for a lot of the stuff we said last last year, but what is true is that we have, we want to build a repeatable operating model. Yeah, got it. So the last thing I want to do is share with you, one, a way that I have created, remember the thing we did at the beginning? We had an incredible version of me. I'm sure most of you know that was a deepfake. So I use a platform called HeyGen. You can see that on the screen here. HeyGen is a really interesting platform, but every time— so like today I'm like, ooh, I look kind of cute today. I'm going to go build a HeyGen version of me, right? I'm going to— as soon as like you get up and you're like, man, I look pretty dapper, like, go do a 2-minute video and capture what you look like so you can own that version of yourself forever. So here is just an example. I will play this for you so you can see it. Oh boy. I'm just going to refresh because I haven't been here for a second. And then let you hear a little bit about this. There we go. Are you all ready? Let's go. Hey, Noel Russell, your digital twin is ready. Try creating videos with it. Also, click the feedback button to share what you think.

Hope you enjoy. Hola, Noel Russell, tu digital twin está listo.

Intenta crear videos con él.

Además, haz clic en el botón de comentarios para compartir lo que piensas. Espero que lo disfrutes.

Pretty cool, right? I always— it's one of those things. Oh, oh goodness, stop, stop. Thank you, thank you so much. The AV team here is amazing. They see my every move, so thank you so much, team. Um, but 28, 28 emails for me, has drafted responses that are about 80, 90% but still time back in my pocket. 103 emails drafted. So you can see that's 24 hours back my social media. Okay. I worked this this guy pretty hard. This is sunny480 social media posts drafted now. Notice it says drafted. Because I, as a responsible AI, a steward of building stuff that I don't just increases my accessibility. The last thing I want to show you is my Agentek platform. So these are the 6 agents, and I'm going to be going through these in a lot more detail for those of you. And of course, we have laser coaching coming up. So if you have questions, I only have a few minutes, but I just want to show you that this is real for my business. The most important thing is the time that these agents save me, right? So I have an assistant called Eva. She has so far this month processed 2,828 emails for me, has drafted responses that are about 80, 90%, but still time back in my pocket. 103 emails drafted. So you can see that's 24 hours back. My social media. Okay, I work this, this guy pretty hard. This is Sonny. 480 social media posts drafted. Now notice it says drafted because I, as a responsible AI, a steward of building stuff that I don't just put out into market. I monitor this. You'll also see my blog post, right? These are long-form content. I'll just give you a taste of what it looks like. These are some of the posts you'll actually see it on my LinkedIn. I just posted this earlier. I actually really like one of these posts that it created for me earlier, so I'm going to grab it and just— I'll show you what it looks like. I can just grab this and pull it over and you'll see now It's posting like this is the power of AI. I use AI to take my brand, take my message and pull it into my post. Now, granted, could I let it go rogue? I could. I'm just not there yet as the human doing the work, training the machine. One day I will be, one day I'll trust it. But so far it did. I think 2 posts last week had the wrong call to action. So I'm like, mm, back to human in the loop for you, right? So that's— but my, my favorite thing is my sales agent. So my sales agent, based on my own demographics, right? This is my ICP, who I search for, who I'm looking for. Based on that ICP, it goes to public databases, finds people who are kind of like me and connects with them, gives me their contact, but most importantly, generates an AI-based email sequence. These are all the things that we're, we're going to be teaching you. Many of the members last year, we went through this incredible experience. I'm super excited for you all too. But this is just a taste. So you can see this is real. I use this every single day. I will show you here, Eva. This is the, the daily briefing that I ask it to build for me, right? Here's your schedule. Noelle's live. Yay! Here's your urgent inbox option. Urgent inbox emails. Here's the industry insights you need to be aware of. This is just— it's just magical. When you use this technology, it gives you the opportunity to take what you want to do. I'm the most human person around. My desire is to spend more human time with you all. And these technologies, these agents allow me to do just that. And it's not just getting time back, it's actually manufacturing new time. I got 267 hours that I never had before. So this is the time. Take your vision, build your brain, start generating content, and most importantly, start looking at the team. It's my pleasure to be here with you today. Thank you so much. I hope you enjoyed it. I'll see y'all soon.

All right, thank you so much, Noel. That was absolutely amazing. We just need to have our slides and stuff here, so we'll do that. Give us a second here. There we go. Amazing. Fantastic. Great. Well, so Noel just gave you the full picture of what the TeamSTEPPS actually looks like when it's built. So not like one AI teammate, but a workforce. And we, we were backstage watching this and saying like, we need that and we need that and we need that. So we basically just wanna copy everything she did for ourselves. So whether it's, you know, sales or content or operations or decision support, they all work together. They're all connected to your brain. They all sound like you. And I know that some of you are thinking probably right now, that's incredible, but does it work for somebody like me? Right? Not a tech expert, not a Silicon Valley founder, just someone who's running a real business trying to get their time back. So now I have 4 people that I'm really excited to introduce you to, 4 people who are exactly where you are right now, 4 completely different businesses, 4 completely different starting points, and 4 stories that I really think are gonna hit differently depending on where you are in your own journey. Now, the one thing they have in common is that they all decided to go all the way with this method that we've been talking about over the last couple days. Excuse me. And what happened to their businesses and their lives is exactly what we're gonna be talking about right now. So I want you to listen for yourself in these stories. Like, listen to where you're seeing yourself in their stories, because I promise you, at least one of these people is gonna sound so familiar that I hope that it gives you hope for what's possible in your own life and your own business. So I'm actually gonna take a seat for this because I'm super excited to get to learn more about them and about their journeys. So the first person we're gonna start with is Joe. Joe, do I have Joe here with me somewhere? Where is Joe? Can you guys— Okay, cool. All right, nevermind. So we're gonna start with Natalia. Is Natalia ready for us. Hello. Hello, Natalia.

How are you?

I'm great. Thank you.

How are you? I'm wonderful. I'm so happy to talk to you. So, so let's, so let's chat here. So Natalia, you came in with zero AI experience. You knew ChatGPT existed, but that was about it. You run a small family business. Yep. That— yep. You run a small family business. You were developing a new cookie brand. Which I'm— do we get samples of this cookie? And you had a son that you just weren't getting enough time with, right? Which I'm sure a lot of people can resonate with. So you're not a techie, you're just curious. And that was kind of enough, right? So you started using AI for kind of the boring stuff, the assistant tasks, right? So when did it stop feeling like an assistant and start feeling like something more for you?

Well, it's when I start to have conversations with AI and help me, guide me through my journey as an entrepreneur and someone that is new in a completely new business industry, right? Because I had just quit my job at Apple so I could be with my son. But it was a new start. And working with my family is challenging. And not having that background, I was like, okay, I have a lot to learn. But I'm also a mom and I'm trying to prove myself here. I need help, right? So rather than just having AI do things for me, the boring things for me that would take a lot of time, I'm starting using it as my business partner. I remember when Vishen said in the last summit, you're going to have AI as your assistant. And that really stick to me. And it's so true. Like, no, this is not— I'm not going to use it only to do the boring stuff for me. I'm going to use it as a business partner. So you're really using the techniques that I learned through the course and using the correct context information and the prompting. I had amazing conversations with AI that just like blew my mind, like, wow, this is happening, I'm learning so much. And it really is a business partner, you know. Of course, we always have to do our due diligence, like, is this correct? This is not going from different platforms and Really? It's like, yeah, yeah, I feel confident this is, this is the correct approach for this specific situation in my business. Yes. That's awesome.

That's a, it's a massive uplevel in how you're using it. That's, that's incredible.

So let, let's talk about the cookie. I learned so much.

Yeah. Yes. Yeah, I bet. So talk about the cookie brand. Yeah, yeah, yeah.

I was, I'm curious specifically about kind of the research component for that. So, so how, how was it different using AI to go through that process than maybe what it would've been before?

Yeah. So, um, cookie brand, new for the business. We import olives, artichokes, so completely different, right, um, products. And I came in to lead that project, and it requires a lot of comp shops, right? So me going to the supermarkets, taking pictures of 60 SKUs in a day, and then having to bring this to my desktop and just analyze the data, right? Let's look through the ingredient list. Which ones have seed oils? Which one doesn't have? Which one is healthy, which one is not. And that takes time, right? Before, I would have to go in each image, extract, read through, and extract all those ingredient lists one by one. This would take me 3 weeks or more. Now I do this in 5 minutes, right? I just go to the supermarket, upload to my friend, and I said, hey, go find the pictures on the folder. Extract to the report that you already create for me, extract the product name, ingredient list, net weight, the name of the product, pricing, and I have all that data ready for me. And then I ask it after, okay, what are your insights on this? Which one is considered a premium cookie? Which one is considered a base level? Where can I position my product based on these products that we are reviewing right now? So it's phenomenal. It's really been saving me a lot of time. Yeah. Yeah.

Cuz it's not just aggregating the data, excuse me, it's actually giving you insights on the data as well, which is, is so, is priceless. So now you said yourself you're not a techie and that the conversational prompts work really like magic for you. So what does that mean practically for people in the room who maybe are also not techie and they're scared of like asking things the wrong way or not asking things properly to get the right result? What do you kind of think about all that?

No, there is no such thing as asking the wrong way. It's just learning how to say what is your situation and then always telling AI, if you don't understand what I'm saying, please ask me questions. It's like my number one lesson. If what I'm saying doesn't make sense, please ask me and I'll guide you through this project. So AI was like, okay, I think I understand a little bit, but can you tell me more. And I just have these phenomenal conversations with AI and we always achieve my end goal, which is great. So zero technical background. It's just really about being open to have conversations with AI and yeah, the outcomes are always pretty incredible. Yeah. Yeah.

And really treating it like a partner is what it sounds like you're doing now, which is, it was incredible.

Now, yes, for small things and big things too.

Yeah. Well, you know, probably one of the biggest things that stuck out to me about your story is about you wanting to be able to spend more time with your son. So I'm curious now, how does that look like your time with your son, the way your week actually looks like now compared to what it used to? What's that all kind of look like now?

You know, it was a tough decision for me to quit my other job. For me, it was a dream opportunity to be working at Apple as an immigrant. And I had my son. I was like, I, I, I want to be close to him. I want to be here. Close to my son, but also continue overachieving, right? I didn't want to pick. And it was challenging before AI. I was really drowning. And after AI, I have the time to cook fresh lunch and dinner for my baby while AI is doing things in the background for me. And I don't feel that guilt. I don't— I feel that I can spend time with my son and not be thinking over and over about my business. Because it's been taken care of. And that peace of mind, it's, it's incredible. I, I really appreciate it, and I feel very privileged to be able to do that, to be there present for my son while working on my business and getting to launch. And things are working well because I have now this amazing partner that does 6 other roles for me. And if it wasn't for it, I would be doing all by myself because we are after all small family business. So it's pretty incredible. It, it made it worth it for me. It's like, okay, I made the right decision.

Oh man, that's, it's a beautiful story. Natalia, thank you so much for sharing your story. I really appreciate you being here and you know, you just, you weren't techie, you were just curious and now you have a business that works with your family instead of the other way around. So thank you so much for sharing your story.

I really appreciate it. Of course. Yes.

After that, I feel techie because I do so much with AI. I'm like, I'm not techie, but I feel like I am. So it's pretty amazing. It's really empowering.

That's awesome. Yeah, you're a next generation techie. I love that.

That's fantastic. Exactly. Yeah, the curious techie.

Yes. Fantastic.

Thank you so much again. And now I'd love to switch over to Joe. Joe, welcome. How are you? Oh wait, we don't have Joe's audio. Let's see. Hey, Eric, how's that? There we go. Now I can hear you. All right. So Joe, let's chat for a minute here. So you own an electronics recycling company in the San Francisco area. You're 18. That's correct. 18 years in, rock solid business, and you're a classic high-level visionary, big picture guy, ideas, direction. And for 18 years, you were also trying to be your own kind of implementer as well until you found a different kind of implementer, right? And that's, that's where AI comes in. So you talked about going from transactional to conversational with AI. So what does that actually mean for you? How did that change for you?

Well, transactional meaning like, you know, I'd be wanting to look what a picture looks like or take this PDF and analyze it for me. And stuff. But once I got into the class and I saw how they were communicating with the AIs, it allowed me to have the level of conversation where I'm at as an entrepreneur, as an owner. And I read this great book called Rocket Fuel. It talks about the visionary and the implementer. So sometimes a visionary's language isn't necessarily seen on the same wavelength. And now it is because when I had that conversation with AI versus just typing and asking it questions, it was able to show me this world like where I could— it understood what I was saying. So when I had like true intentions of what I wanted to do to, to make the business more efficient, it understood me and it kind of led me into the direction I needed to go to.

That's awesome. I love that. And I know that you built something called the Business Operating System that now your whole team uses. So who actually built it and how long did it take?

So the funny thing is actually, um, we— oh, on our website, on our pickup request form, there was a bunch of holes in it that I just— I didn't have as much control over it because I had the web developer doing it. And once we started learning the concepts of Replit and building your website and the communication aspect, I built a landing page that was basically a quiz-style questionnaire for our customers when they would request the materials. So I was able to dictate all the exact things that I needed to make it the most complete package request that it would last through the entire process and cadence of our business and stuff. So I actually started building the landing page first, and I was actually really impressed because it was able to send a receipt. We have an eWaste for Trees initiative where we plant a tree for every pickup, and it actually— I was able to have it create its own certificate in the receipt for each of our customers. And then what happened was, is I was like, well, if I can do something like this, why don't I put the system in place that this information can go into and begin that cadence? And that's ending what happened. So at that point, I started building what they call, what we call the business operating system software, which we now call the BOSS. And, uh, our staff loves it. They, they, the, the beauty is they give me feedback and I'm able to go in there and adjust it based on that feedback and show it to them. And they're like blown away. So now they're feeling much more confident using this stuff too. That's so cool.

I can tell as you're talking, you're like tickled by AI and what you're creating. And I'm curious, like, did you ever think you'd become a guy who was tickled by AI, who really loved it like this much? No, I'm not.

I'm just not. I, I was always— I'm always like a high-on-life type person, happy-go-lucky and stuff. And, and now with what this AI has been able to allow me to do and create and I can turn the, you know, like I use the website Replit and their initial tagline was ideas to apps. Well, now it's like I'm turning ideas into businesses or I'm turning ideas into concepts that I can check to see if there is a viable business there. And then with our own business, you know, it's completely changed the game in terms of the dialogue and the efficiency and the need for my presence to be there every time. You know, I used to be busy putting out fires and stuff. I kind of built a fire station within the system to where our employees can now go in and they can ask a question and it tells them. And we have Spanish-speaking employees that actually can tell them in Spanish as well. I can analyze the frequency of pickups that we're doing and have it kind of anticipate when the next time this customer is going to be requesting our services. It's just, it's There's infinite possibilities at this point.

It's amazing. Yeah, well, that's actually a great segue. So I know you went from thinking about having a 4-day work week like maybe being something you could do one day— excuse me— and now you take a full week off every single month. So what had to change in order for that to actually become real for you?

Well, so actually what we're doing now is about a year and a half ago we actually went to a 4-day work week. So now we work Monday through Thursday. Um, what this is allowing me to do, and I have a plan for, you know, by the summertime My 4-day work week is actually going to be a 2-day work week, and I'm actually going to be able to be at home. I'm going to be able to pick up my little girl at school. I'm going to be able to volunteer for field trips. And then, you know, I want to kind of get my golf game a little bit better. And with all these AI tools, I'm able to kind of like explore other opportunities that I can implement and potentially automate to where I don't even really spend much time on it. I just kind of hit the button, see if it works, and all of a sudden we're off to the races.

That's, that's amazing, man. And, and I, I love that you're gonna go down to the 2-day work week, but beyond just getting your time back, what else do you feel you're really getting back by having AI so integrated into your life and business now? Right.

So to me, family is everything. You know, I got into fatherhood a little bit on the later side of life, and now I'm able to look at my 4-year-old daughter and, and my, my 13-year-old son and say, hey, let's go spend a week in Cabo, which is where we're at right now. We're actually leaving later on today, but, you know, they had their spring break. But instead of bringing them to work with me or taking them to daycare, here we are, you know, we're swimming with dolphins. And I'm taking my son on a, on a Baja racing excursion for my 50th birthday and stuff. And, and my wife is, you know, able to hug and swim with the dolphin, like her biggest dream come true. And this is just the beginning. I mean, we're, we're planning on doing this, you know, much more frequently. And the best part is While all this is going on, work is running smoothly. In fact, we had an amazing week of our sales on our eBay store. And so, business is running smooth without a hitch. We're not there and we're not looking at it as much and it's proof of concept in real time. That is absolutely incredible.

Well, I don't want to keep you away from the Dolphins or Cabo anymore. So, thank you so much for sharing your story, Joe. It's really inspirational and I really appreciate it.

Thank you so much. I appreciate it.

Thank you. My God, this is amazing. You guys are incredible and we still have more to go. Okay. So now I'd love to talk to Yasmin. Yasmin, are you here and available? There you are. Yes, I'm here. Hello. How are you?

Hello. I'm very well and very excited.

I'm very excited to talk to you. So you've been a Mindvalley member for years and you were doing Investing Mastery last year and you got to work with Vishen on a business problem that you'd been stuck on. And in 10 minutes you were able to walk away with an answer and thinking like, well, heck, if that's possible, what else could be possible? So now you were bootstrapping a jewelry and e-commerce business with almost no budget. You were spending thousands on kind of mediocre work because real branding agencies are kind of out of reach. And now you are where you are. So describe that kind of light bulb moment for me. What was the problem and what happened, excuse me, in those 10 minutes when you spoke with Vishen?

So basically it was towards the end of the Investing Mastery. We had a session on, I guess I don't remember exactly what it was, but Vishen was showing us how to use Replit and basically trying to use AI in business and asked for a volunteer. The problem that I actually solved then was something that I kind of tackled a little bit, but then that was a moment that I figured, Wow, there's so much more that I can do. So, I actually started building other things right after that. So, that was, I was looking to something that would help me organize my calendar and my days. And then we just started, you know, talking through the class. And after that finished, I was like, wow, if I can do this, I can build a lot of other things and just connect them through APIs. I mean, basically impossible was just possible. And I think one of the most important things that I realized then is AI teaches you to actually dream and to, to, to become creative, even if, you know, you're not a creative person because you just, you know, think about anything that you need and you can build it. So then, you know, afterwards I started building my website website, and my website is actually quite a sophisticated website. You know, I started with Shopify and then I was like, well, what if I add this and what if I can do this for my customers? And if I can, you know, have them like register and then like a lot of the things that maybe for, you know, a brand that's just taking off the ground and testing products would not even— I wouldn't even think about them. But then, you know, just by talking to AI, I was like, well, how about we add this and how about we that and it all happened and a lot of security issues which I had never thought of because I didn't even know, like you had to think about these kind of security issues were things that AI would bring to my attention. Like now we need to fix all these security issues. Like, oh, actually I didn't even know, like I had to worry about these things. So yeah, so that was basically the lightbulb moment and it just, it started and it's, it's been amazing. That's awesome.

And you actually have some AI team members that you've named your, your world-class CEO and CMO. So what is it that they actually do? For you? What are they handling in your business now?

So basically, that's— those were team members that I built through the AI Mastery, a CMO, a CEO advisor, and a CFO that helped me. You know, the CMO is fully trained on the brand, you know, what the purpose is, all of that. The main work they do is keeping me in check and making sure the decisions that I'm making for the business are the right decisions as As a CMO would tell a CEO, hey, like, we cannot do this. Maybe, you know, you necessarily want to drive sales, but this is something that's going to hurt the brand. Or the CEO advisor tells me, you know, maybe you want to launch this new product, but let's look at your numbers. The numbers are not right. We still— we first need to figure out this other issue in the business and then we launch a new product. So yeah, those are all basically called skills. That I built and you continuously just improve them and even improving them is, you know, just a matter of few words talking to it.

It's so crazy because what you're saying and you were saying earlier about this feeling of like anything's possible. It's one thing for that to be a mindset thing, but to actually have the tools in front of you to then build whatever your mind conceives, that kind of changes the game like your CEO and your CMO. And one of the other things that I know is a massive challenge for e-commerce brands, not least of which because I'm in one as well, is getting actually good product photos. It's so tough and it's so fricking expensive. So you were spending a bunch of money on bad product photos and kind of mediocre experts. And what does that situation look like now?

I mean, in basically 2 sessions and even just following the steps during the class, I was able to regenerate all my product shots with models, videos, just in a matter of, let's say, 2 days. You know, for something that I had spent thousands of dollars on, I went through 2 different photographers, really, really bad photos. I started uploading them and then I sent them to friends and family. Hey, you know, like I have my website up. It's so exciting. And everybody was like, these photos are really bad. You need to change them. So I was like, okay, no, but it really was really a matter of a few hours of just, you know, doing that. And then again, there was— I didn't have a lot of the expertise of, you know, photography, how you should do it. And I used AI to help me with that. I created a custom GPT in ChatGPT that gives me the prompt for the, for basically the photos. Like, this is the photography that we need. These are the specs. This is how it should— we want it to communicate. This is what success looks like. So I take basically the prompts from the prompts from that and then put it into the image generation. So even if you're, you know, you don't have the expertise to do certain things, you can You can just have AI give you the expertise.

Yeah. I, I love that. And there's also no waiting, you know, if you have a, some, an agency or a photography, you know, brand you're working, you have to also wait and back and forth and hopefully it's okay. This, if you have an idea at 2:00 AM and you're like, I want to do this crazy thing for a product shot, you can have it done in 10 minutes.

You can do it. Yeah. Yeah. I love that. It's, I mean, it's, it's incredible. The, the possibilities are just incredible. And, um, yeah, I mean, it, it just really It's incredible. That's all I can say.

Well, and you actually, you shared a quote that I really love. You said, "Success is a science. The art makes it yours," which I think is beautiful. How does that apply to the way that you're using AI now?

So yeah, that's actually a quote. I have it on a Post-it right on my screen. So yeah, and I always look at it. So to me, what really makes you, the ingredients The two keys to success are the ability to dream and be creative and to be resourceful. And I think AI gives you both. I mean, first of all, once you see the possibilities, you just realize there's no, there's no limit. So you, you learn to dare to dream and, you know, AI just makes you so resourceful, like whatever talent skill that you need, you can build it. That's also one thing that I learned during this program was, you know, how to be resourceful with AI. In one of the sessions, Nick Sonnenberg said, nobody speaks to AI better than AI itself. So whenever I'm stuck with anything, I just ask AI, teach me, help me, or ask me the questions to gain clarity so you can coach me better. So that's, that's extremely powerful to have someone that can actually teach you how to work with them.

That's— I think that's one of the most underused and underutilized and misunderstood parts of AI is how much it can teach itself to do what it is that you need. And even like— and Noel was talking about this, you know, it used to be all about prompt engineering and all these things, but we don't need that anymore. The AI is smart enough to actually help us figure out what it is that we want and how to build it. So I love that you're operating that way. You've done an incredible job here with all of this. Yasmin, I'm wishing you continued success. And thank you again for sharing your story with us.

No, it's, it's, it's been a pleasure being part of the community. It's been great.

Thank you so much for being here. You're awesome. Thank you. Thank you. Wow. These stories are just freaking amazing. I could listen to these all day. We have one more person I'd love to chat to. Emilian, if we could speak to you. Hello. How are you? Good. Good. How are you? I'm doing well. So much better now that I'm talking to you guys. So you are here now. You've gone through AI Mastery 3 times, which is incredible. You started in 2023 and you run a functional longevity clinic that I should probably go talk to at some point soon. And at one point you raised $500,000 to build software to solve a core problem in the business, which failed. Not the business, the software platform. And then while on safari in Africa, of all places, he started coding the platform himself. And with AI, 2, 2.5 months. And now the platform is complete and you're selling it to other clinics. Like, what? Like, this is incredible, man. How do you feel about that, first of all, that you were able to take something that failed after throwing a bunch of money at it and do it yourself while you were on safari?

No, look, I'm a founder and I built a number of companies in my life. And I've been always, I was always on the belief that I need to raise, you know, pre-seed, seed, Series A, etc., to build a company, to be able to invest in technology, hire the best CTOs, hire the best tech team, etc., and then build a company. And actually, for the first time, and this was after the— I mean, during the last AI Summit, the last AI Mastery, I found that I can build a platform myself. And this has been fantastic because this has always been my weak points. I'm an operational person, build companies, but I just couldn't code. I still remember now I went through my GitHub repositories where I have like 40 different projects. The very, very first projects were 3 years ago with Vikintas. I didn't know anything. I didn't know what GitHub was at that time.

So it's been fantastic.

It's been such an amazing learning curve. And I think the biggest learning curve has actually happened in the last Mastery. And actually in the last couple of months. You know, I still remember Vishen was saying, you know, the second Mastery was like 40% new. The last year one was maybe 50%, 60% new. I think it was 80% different. And I think the next one now coming is going to be even more different because AI is changing so fast. Yeah, 100%.

Actually, that is a question I'd love to ask you. So coming back 3 times and now, you know, even 4 times, What is it that keeps bringing you back?

Look, I think I see it as a continuous learning. And I think because the technology and AI specifically is developing so fast, if we missed the train, we miss the train, it's very, very difficult to catch up because it's moving so fast and we remain behind. And like, you know, like, like Mindvalley say, these, those, these are programs for like the, you know, the 0.1%. And I want to be part of the 0.1%. I want to have the skills to succeed and to be better than other people who don't succeed. At the same time, I'm very motivated by making an impact. And I think with AI, we can make a massive impact. I mean, we run and own longevity clinics on 4 continents. And I see it now versus even 6 months ago, we're just building this AI copilot, which by the way is also HIPAA compliant. So the compliance is super important. Supporting the medical field. The clinicians save 80% of their time because they can focus on the conversations with the patients. They don't need anymore to analyze all the work of analyzing all your diagnostics or your blood tests or your DNA and then building protocols. AI does this for them. They are still there to discuss with the patients, which is extremely important. They now can see 3 times more patients. I still remember 3 years ago or 4 years ago, our first clinic in Cape Town, South Africa at the time, our doctor was taking one day off per week on Tuesdays just to do the admin work of analyzing blood biomarkers and building protocols. Well, now AI does this for all our doctors. It's just fantastic.

Yeah, I love, I love that direct connection to impact and, and scaling the impact, right? You guys are already making impact, but being able to scale the impact in a way that just adding more humans could really never do. You'd run out of time at some point. So like being able to do that is, is so huge. And, and I'm curious with the, uh, with the software platform specifically that you built yourself after the one that, you know, spent the money on didn't work out so well, what was different for you that second time? Why do you think it was successful that second time?

But I think, um, what I really, I applied what we learned from the product team, right? Because finally building technology is about having product managers, explaining to the product managers what we as founders understand from the operating processes in the field. The product managers take the message, explain it to the technology team, and then we build. Well, now I don't need all these people. I'm actually the founder, I'm the product manager, and I'm the CTO. And I'm a developer. So the message goes super, super fast. So there's no more misunderstanding. That's number one. So I can really translate what I see on a daily basis in our clinics with our patients into the needs of the clinic from a technology perspective. And then I was able to build a platform which doesn't only do the diagnostics analysis and protocol generation, but runs all the processes in the clinic. It has a micro Salesforce, lead management. It runs the reception, it runs the accounting, it integrates with everything. It's a complete operating process. So I think that's, that's the biggest difference.

That's amazing. I really love that. So, so, so many non-tech founders tend to be slaves to hiring the best CTO or raising money like we were talking about, all of that stuff. What do you say to somebody in the room who thinks that there really is no way to get around buying all that or hiring all those people?

So I think it's, and I think this is great news for the non-tech founders right now. And I'm not negating the need for technology and great CTOs and great architects. I think that technology people will become architects. But I think it's just a hope for non-tech founders to build companies without venture capital. Without that much venture capital or use the venture capital to build operations.

Sorry about that. We're having a little bit of a tech difficulty there. I just want to make sure I was able to hear you.

Um, so, so I was saying is that I think it's, it's great news for non-technology founders because now we can actually build companies.

So can you hear me?

Yeah, we can hear you now. Okay. Yep.

Okay. So now we can build companies without the need of raising a lot of venture capital to build the technology side, which we can build a lot of ourselves and, you know, use the capital to build operations and serve clients.

Yeah, that's so huge. I mean, yeah. And I see that in fundraising myself that I didn't need to raise nearly as much as I thought I was going to because I had first thought about, you know, all the salaries that were going to have to be put into place and all of the resources that were going to have to be mobilized that required financial investment. And now it's like, well, actually, you know, for 15 cents an image, I can create really amazing ad, you know, ad copy and, and, and, and ads and all these different things. And you find out really quickly that it's really just the limit. Your creativity is the limit to what you can actually do with very, very small funds. So I, I really love this. I love everything you've shared. I loved how you're scaling impact by using AI as well, that it, it can be altruistic and capitalistic at the exact same time. So, thank you for sharing that story as well, Emiliano. Very, very powerful stuff, man. Thank you. Absolutely. Guys, I mean, you know, these stories are amazing. You know, 4 people, 4 completely different businesses, but all one method. You know, Joe taking off a week every month, going to Cabo, playing with dolphins, you know, while his business is running. And Natalia is building this cookie brand. She's getting to spend more time with her son. Yasmine is bootstrapping this jewelry business and having a world-class AI team and getting some really dope product shots as well without having to wait and spend a bunch of money. And Emilian's rebuilding, you know, rebuilt this $500,000 software project on Safari in 2.5 months and is scaling all this impact. I mean, these stories are incredible and amazing, but they're not special. They're not special in the most special way, meaning these are all things that are available to all of us. I thank you guys all so much for sharing your stories, for being willing to do this, for the work you're doing in the world and for the work that you've done behind the scenes to get to this place and hopefully giving people here a lot more hope about what's possible for them as well. So, for everybody else here, I'd love to know and just drop it in the chat, which of these stories really resonated with you the most? Like when you think about these 4 founders and you think about what it is they're doing and you think about either what it is you're actually already doing now or what you envision doing for yourself and for your business, which of these founders do you feel are most like you and why? If you can drop that in the chat and I'll, I'll just, I'll share a couple just to kind of share here. But I think it's so important to see this. You know, they, there's, there's all these different studies done that show people's possibilities of what can happen are expanded tremendously when they see somebody like them who has done it before. The amount of times that I'm like, oh no, I can't do this, I can't do that. And then I meet somebody who's from a similar-ish background to, to me, or I, you know, I, I, I don't see them as being like more, more educated than I am or something else. And they've done a thing immediately. I say, all right, well, if that person could do it, then maybe I can do it as well. So these stories are not just kind of anecdotal. They're really a roadmap of what's possible when you go all in on AI and on this method. So I'd love to see what some of you're saying here. So let's see. Louise said Jasmine asking AI to coach her. Yeah, like, that's such a great one, right? So many people don't realize the amount of times, guys, that at 2 AM I've had something going on where I felt like some kind of stress or anxiety. I didn't want to wake my wife up. I go right to my Claude. Claude knows me. Claude knows how I think. Claude knows all the things. And I can go there and get that kind of coaching that I need in that moment. So that's a great one. I love that. Peter said time with her son. Natalia, time with her son is so inspiring and motivating. It's a huge one. Let's see here. Let's see. Diane, excuse me. Diane said the woman with cookie business, Italia. I refer, I refer to my AI as my partner too. Yeah, that's great. Anybody else here still say please and thank you to, to the AI? I, I, I, yeah, I, I don't know what it is. I don't think I can ever get it. Yeah. Yeah, I saw that Zeta in room 2. She's like, yep, 100%. You know, yeah, I, I gotta make sure I do that. I'm with that as well. Let's see. And Amelia said about Emilien, the wellness guy, because I'm into occupational therapy, a few specialty fields within the discipline, and I feel I can launch new approaches. Yeah, I mean, that's such a big one. You know, I don't know how it is in all countries, but in the US, the standard time a doctor spends with you on an appointment is 7 minutes. 7 minutes. Do you think that doctors can really ascertain what is going on in your world and what the best course of action what the best action is for treatment for you in 7 minutes. Now, part of that is because of the messed up healthcare structure, which I won't get into right now. But part of that is also because, like Emiliano was saying, they have so many things to do. They have so— I, I have coaching clients who are naturopathic doctors, and the amount of time they're spending doing paperwork, looking at blood markers, all those things he mentioned, it's astronomical. And the amount of time you get to then spend with people when you can get the AI stuff working for you, that's what makes all of this human first. So it's huge. Huge. Let's see, Michael said Natalia getting info from products in the grocery and analyzing quickly. I love that. As a matter of fact, I'll give you a quick anecdotal story because of my throat. When I was leaving yesterday after the summit, I went by the pharmacy. The pharmacy happened to be closed itself, but you could buy stuff in the retail section, so I couldn't speak to a pharmacist. I took out my phone, I took a picture of the entire shelf of products, said, hey, these are my symptoms, and it said, hey, pick that. Don't you dare pick that because that's gonna make it worse. Like, it gave me the whole rundown of exactly which box and which colored box and everything else to pick. And it, it solved it for me. I didn't have to worry about anything. So it's, it's great. Let's see. Sanjay says that non-tech founders can still do tech businesses through AI systems. That's actually a huge one because I think that a lot of times there's this, this misconception that only the techie people think of solutions that are tech-based. I think that's so wrong. I think there are tons of people who are non-technical by nature, who have incredible ideas for things and just would have no idea where to start from a tech perspective. So I really love that subject. That's a great one. Let's see here. Sorry. Let me see. Let me check on this one as well. Kathleen said, just honey. Thank you very much. Yeah. I think I am single-handedly keeping the honey industry afloat over this last 24 hours. So yeah, I appreciate that. I appreciate that. Thank you so much. Let's see. Let me see. I got two screens and they move fast. Let's see here. Yeah. Oh, Pedro says he did that for choosing vitamins, taking a picture of the products to figure out which was going to be best for him. So I think it's really great stuff you guys are saying. Oh, and Sanjay said learning and the actual skills will continue. We need to be smarter to make AI also learn from us. And be humble to take the help as well. That's, yeah, that's very true. Yeah, Howard says he does that all the time. Let's see, Michelle says, my husband is in his early 60s and he hates that new doctors Zoom through appointments and he gets so many comments to him how great they feel that he takes his time to hear them and their concerns. He listens. We've married 40 years this year together since high school and I can tell them he's a caring person, which is reflected in his practice. And, and that's, that's big too, right? Because there's so many times in business that we want to bring more of our humanity out and there just isn't time. I know it sounds silly that we don't have the time for humanity sometimes, but it's true. And that, that's not just in the caring professions. Let's say you have an e-commerce business and you want to be that person. If, if you're like me, you wanna be the person who every email that comes in from a customer or a prospective customer, you spend so much time, you know, really care and concern to respond back to them, to make them feel seen, to make them feel heard. And that's just not incentivized. Advise when you're in a world where you're running everything on your own and there's nothing to back you up. And so, so again, just yet another example of the, the way AI allows you to bring your humanity more into the mix when you're able to leverage it that way. So thank you guys for sharing all that. I really appreciate it. Now listen, so the gap between where you are and where all these people are that you just heard from, it's not luck. It's, it's not a technical background. It really, at the end of the day, it's 12 weeks and it's a decision. And very soon you're gonna be hearing about what that kind of looks like and what those 12 weeks looks like. And I'm curious from you, let's just say it's 12 weeks into the future and you've gone all in like these people have gone all in that we've been talking to today. What can you see as possible for your own business? Again, I'd love to hear this in the chat, whoever's willing to, to share. And even if you wanna like just close your eyes for a minute and envision this, right? Like, you call me, you email me or call me or DM me or have one of your AI agents call me 12 weeks from now and say, Jason, you have no idea. My life looks completely different. My business looks completely different. What's changed? Like, I wanna hear this from you. What's changed 12 weeks from now if you really went all in on this for yourself? Yeah, Renia says more sales. Fantastic. And helping more people. Exactly. Impact and capitalism. They can tote They totally go together. Let's see, what else do you guys have here? Let's see. Oh, that's funny. Stacy says, my AI named herself Luna, Luma, sorry. She counseled me in rough moments and finds synergy with my business ideas. People tell me that I can't do this myself. I think I can. You 100% can. And I hope these stories are proof of that for you. Let me see. Okay. All right, great. Awesome. Okay, cool. So here's what we're gonna do. Thank you guys so much for all of your shares. Thank you for dealing with my voice as well. I'm sure it's not the most pleasant thing to listen to right now, but I greatly appreciate it. And now Vishen's going to come back out and show you exactly what these next 12 weeks can look like for you if you want to go all in on this method as well. So please welcome back Vishen Lakhiani.

Thank you, Jason. And, uh, and by the way, I really love your voice. I think you should make that a permanent thing. It's raspy, it's sexy, it's very George Clooney. I really think you should do that. Also, you've been my friend for 15 years. How do you still mispronounce my last name? It's Lakhiani, not Lakhiani. Thanks to you, 40,000 people are going to be mispronouncing my name wrong, Jason. Okay, so let's get started with what we're going to be talking about next. How many of you saw yourself in one of these founder stories? And those stories were quite amazing, weren't they? Hang on, I'm turning, I'm just adjusting something over here. So if you did, you're going to need, if you did, I want you to know that what we're about to share next will likely make some of you the next case study that we pull up on stage. How many of you would like results like what you just saw? Okay, so more time to focus on what is uniquely you, activities that you truly care about, and more time to actually be human. Because if you do, this, this next presentation is for you. So here's the good news: you do not have to figure out AI alone. We have a system, and literally there is nothing complex about getting to the same level as those other founders. All of them started out in the same direction as you. What I want to do is invite you guys to look at and enroll in Mindvalley's AI Mastery program. This is a Mindvalley program created exclusively for the type of people who are part of this this summit. So why now? Last week when I was in Los Angeles for the Abundance 360 Summit, there were a couple of really interesting insights that were shared. There were two in particular that I want to share with you. One insight is essentially this: the optimal time to go into AI and build an AI-powered business or engineer your business to give it an AI edge is 2026, because it is right now, as in this past one month, that specific tools came out that are making this insanely easy. I was trying to build a business like BlinkLife for 15 years. I bought the domain BlinkLife with a vision for what I wanted to do in 2003. I couldn't do it back then. I can do it now, and I could only officially do it as of February 7th this year because of the tech that emerged. What you're going to find is that many of the wildest ideas you've had, new things for your business that you wanted to launch that you could never do before at a reasonable cost, you are going to be able to do this year. In 2027, it's going to get even easier because new AI models are going to come in. But at that point, it might be easy for other people to jump in. 2026 is when you are able to build your moat. Now, the best time was yesterday. The second best time is actually today. And the second insight that was shared at Abundance Summit was this: it has to be the CEO or founder who learns AI. This is not It's not something you outsource to someone else on your team. They're not going to have the vision that you have, the ability to connect dots like you have. AI has to be a founders-first movement because the most important thing in AI is direction. You're like an orchestra conductor. You cannot outsource that to someone in your team. What I did was I was the first person in my team of 400 people people back then to jump into AI. I became as good as I could in AI. I'm now one of the most productive coders in my team, even though I employ over 100 engineers, because I made myself train on AI harder than any other member of my team. And as a result, I have superpowers that I never thought was possible. The same is going to apply to you. And the thing is, it is easier than you think. The most important thing in AI, step 1, is vision. That is a unique founder superpower. It's not about how fast it's going to take to build things. It's going to be lightning fast. It's about addressing the question, what do we build? Why do we build it? And these are founder questions. So it's time for you. The time is now. Okay, now I've been committed to the AI movement since day one. Mindvalley started our AI Summit 4 years ago. Our first summit was August 2023, and I did that because my job was to spread enlightened ideas to human beings. And we started out with meditation, with longevity practices. When AI emerged, I saw how it was transforming my company, and I knew that this was going to be one of the most important pieces of education to get out. So our first summit was held 4 years ago. Through that summit, we launched our AI Mastery Microdegree, and we've never looked back. It's become one of the most popular programs ever on Mindvalley. So, the important thing to understand is that we're in our 4th year. We have trained 3,500 founders. This is a program where we hold your hand and we go step by step, and it's live teachers. You're learning from the best of the best. Your best guess. Me, Daniel Priestley, Mannon Dave. You're not learning from our facilitators. You're learning from us, and the learning is all live. Because of that, it's a limited number of students. That's why we've only trained 3,500 graduates, and we only do it once a year. Now, we're not going to teach you everything we know. That might be like drinking from a fire hose. Instead, what we're going to do is we're going to make you understand frameworks, frameworks to leverage AI. And what many of you saw already here was a glimpse of that framework. When you want mastery in something, Tony Robbins said mastery is about repetition, immersion, and modeling proven practices. That's the core of this program. Repetition, deep immersion, and modeling stuff that we we have proven. Some of the stuff I've taught you, I'm going to be teaching you, I've run it over and over and over with different teams and fine-tuned it so that the results are excellent. And this is what you are going to learn. You're going to get the output of years of fine-tuning and dabbling. AI is my obsession, and I'm excited to share what I've been discovering with you. Now, as I said, this program is only once a year because because people like Daniel Priestley or myself or Noel, we don't have time to do this every single week. So we commit, each of us commits to do it once a year and we do it for those students who come in on that year. Now we designed this program for you to teach you the exact things you need to thrive in this new world. The model is It's AI first is a human first mindset. Now what that means is that when you apply AI first in the right way, you are also human first. You are removing unnecessary work and creating space to be more human, space to connect with your friends, more time to spend with your kids, more time to focus on your health. At 50, thanks to AI, am I in my best health ever. Not just because I built my own AI health advisor, which I will teach you to do. I taught my 78-year-old dad to do that. But also because AI frees up so much time. I have more time to work out, more time to go to the gym. Next week, I'm spending 2 weeks on an African camping safari with my kids. That is purely human first, but I can get there because I am I will not do any work unless I think, how do I make this as easy as possible through AI? This is the quality of mindset we want to endow you with. So we designed this program based on these principles. You want to remove not all your work. Work gives us meaning. Work can be fun. You want to remove repetitive, unnecessary work. And this program, this summit itself, should get you to about 20%. This program will get you to about 80%. You to 70%. Number 2, to get there, you need an AI that can think like you and runs without you. What this means is the AI knows your tone of voice, the AI knows what you love talking about. So I'll give you an example. I can go to my AI and with one command I can say, hey, it's Wednesday. Every Wednesday I need to send out my Mindvalley newsletter. To my audience of 2 million. I don't know what I'm going to write about today. You decide, you create a newsletter, you send it out, and the AI will do that. In fact, I did that experiment 3 weeks ago. None of you knew that it was written completely with AI. That was an experiment. I had no— I did not involve myself at all. I literally used that command. You're going to be able to build AI that knows yourself that well. Now, this isn't, this isn't to, to, to fake content. It's actually to organize content. Your AI isn't making stuff up. It's just that you've trained it so it understands everything about you. And as you go deeper, it understands everything about your business. And then the AI almost becomes a co-CEO, ensuring that things are on time, things are running well, you're hitting your goals, even helping helping you refine strategy. Third, to get to that level of AI supporting your life and business, you have to develop an AI-first mindset. This is something that is really important to do. One second. And fourth, to become AI-first, you need a simple step-by-step method, a step-by-step method that actually scales even as new tools come in. So this is how we design AI Mastery. Now, you've already kind of experienced the 5-step method that I use to think about AI and I use to train my employees on AI. This is the method that we are deploying And let me take you through it again. The first is vision. Okay? It's creating a solid AI vision and creating AI that truly knows you. I showed you the memory graph of my AI. My AI is so accurate, it knows what I ate for breakfast. My AI actually watches me and blogs about what it observes about me and will give me insights, including calling me out when I'm not living up to my goals. It's fascinating. You're going to learn to do something similar. If you skip this, what happens is you solve the wrong problems in the wrong order, because truly great AI is like a digital twin. It's not just the PhD behind your shoulder. It's a twin who understands how you think, what matters, and what you want to contribute to the world. Now, step 2 is the brain. What this is, is you feed the AI the information and data that matters. With my team, I record everything, every meeting, every nuance. I feed it into the AI brain, and the AI is able to look at data across time and help the company evolve. And because the AI has so much background, it even helps us craft our strategy. It will tell us if we're going down a wrong path. It will tell us if a particular marketing campaign is off. The AI even scours the internet and gives us an idea of what customers are saying about us, what we may need to improve about our product. This is the power of the AI brain. Now step 3 is create content, copy, campaigns in your voice, not in days, in minutes. If you skip this, you become the creative bottleneck. I've trained I trained my AI so it can sit in WhatsApp groups with my employees. So employees that are creating content about me, such as LinkedIn content, are communicating with that AI. You want to see something wild? Go to my LinkedIn. All that LinkedIn content is uniquely me, but I don't even know what's going on on my LinkedIn. I don't know— I don't even really know how to get to my LinkedIn post. I just don't use LinkedIn. AI is understanding everything that's happening in my life. It's observing me. I'm about to speak tomorrow here in Mexico. It's observing me on stage and it's dissecting my wisdom and turning it into LinkedIn posts, interacting with the agency. I showed you a screenshot of that and posting to my LinkedIn and then analyzing comments and fine-tuning itself. All of you will be able to do that. This is creation superpowers. Fourth, as I mentioned earlier, the AI integrates with your team. It communicates with your team for you. So what this means is that less meetings. The number of meetings I step in has gone down significantly. The number of emails I have to care about or WhatsApp groups I have to be in, I now put my AI in WhatsApp groups rather than me. And fifth, the system. This is where everything comes together, and here's why that's important. As you know, AI is changing rapidly, almost on a daily basis. If you try to keep track of every new development, you will get lost. But if you have a system, every new idea is just something you plug in. And in our AI Mastery Program, we teach you how to know what really matters versus what is fluff you can ignore. Because a lot of the stuff that's being tossed out is actually fluff. You may not— you don't really need it. But if you have the system, as AI evolves, evolves, you can evolve your usage of AI. The system stays constant. We've looked at our system. It would have been constant in '23, in '24, in '25, and it's still constant now. So the complete system looks like this. You might want to screenshot that. Vision, brain, create, team, and then the system as a whole and the compounding effect. This is how the system improves itself. So the tools Things are evolving daily. The AI-first method gives you the strategy to avoid that overwhelm and compound your results. This is why AI Mastery exists. It's not just a course, it's an identity shift. Okay, now here's how the program works. So firstly, incredible teachers. I'm just going to cover a couple of them. So you know Man and Dave, 5-time Time Magazine inventor. He is not even going to teach you AI for creativity. He is a creative genius. The iPhone 14 song that was released with the iPhone 14 ad, he created that for Apple. The theme song for California with Snoop Dogg and Idris Elba, Mann and Dave wrote that. He also won 5 awards at Consumer Electronics Show for Mercedes-Benz Sound Drive, which is an AI that basically composes music in your Mercedes-Benz as you drive the car. It's about to be released in cars all around the world. It makes your car into a musical instrument. Mann invented that with will.i.am of the Black Eyed Peas. He is your creative AI teacher. So think about the quality of the people you are learning from. Noel Russell, 5x Microsoft AI most valuable player, original architect for Amazon Alexa. Daniel Priestley, if you guys know Diary of a CEO, it is the number one educational podcasts in the world. Number 1 is Joe Rogan. Diary of a CEO is the number 2 podcast in the world, but the number 1 educational podcast. And Daniel Priestley is famously the most featured guest on Diary of a CEO because he is brilliant. You guys saw witness to that. He's going to be one of your teachers. He's also started multiple $100 million software companies, so this man gets technology. Then Dominic Ashburn, consistently one of our highest-rated AI teachers. You guys know his power because you witness him today. Sean Cannongo, you'll hear about him tomorrow. Absolute genius at teaching AI. Only innovation expert with streaming specials on both Apple TV and Amazon Prime. Vikintas Lodhennis, Mindvalley's Chief AI Transformation Officer, who's built 500+ automations for me and my team. And you know what's crazy about Vikintas? He started out as a customer support person on Mindvalley. And what I love about that story is that it shows that anyone, no matter where you are starting out, you can learn this. You can do this too. So, it works like this. All our teachers come together. We have education specialists who work with all of us to make sure all of the content flows. It's 32 live trainings over 16 weeks. Okay, and I'm going to show you what these trainings look like. So here's what we do every week for 4 months. It takes 4 months to get you to the top 0.1% of AI, and we mean that top 0.1%, like the people you saw in that last session with Jason. The first is this live expert training. Okay, this is where you learn. It's 90-minute every Wednesday. It's a live class with high-caliber teachers like Daniel, like Manan, like Vikantas, and so on. I'm one of the key teachers as well. Now, there are 16 of these classes. If you look at the one-on-one rate that people charge for AI training, it's a lot. I charge $100,000 for a single talk on AI. That's why I'm here in Mexico, right? Right now. This is high, high-caliber training. 16 of these. Every talk opens you up to a whole new way of learning AI. But from a talk, a training, you need to go to implementation. And this is the second part: guided implementation. This is where you work with some of our teachers, especially Vik and Tas, and we go deep with you and we implement the exact memory model, the exact goal model, the exact fine-tuning model, the exact creation model, and we teach you the skills. Remember what I showed you earlier today? How to be like Keanu Reeves in The Matrix and download any skill? My AI just downloaded a rapping skill. I'm going to have it create a rap song and we're going to play that tomorrow. Imagine what happens when you can learn this. Anything that you dreamed of doing, you can now do. But you got to understand skills, deploying skills, customizing skills, fine-tuning skills. There are ways to do all of that. And when you understand that, it's like being able to download apps to your brain. You can become a world-class email writer, world-class Instagram Reel creator, world-class teacher, world-class French chef, world-class rapper, because you can download skills and integrate it with your AI. So we go We go deep into that plus many, many, many other things. That's Guided Implementation. Every Guided Implementation is adding tens of thousands of dollars of value to your business right now. But because we teach you and we put this in your brain, you can go to someone else's business and do the same thing. Or the next business you start, you could do the same thing. I'm starting 3 businesses on the side right now because work has become so easy. How many new businesses are you going to start if that's what you want to do? Or how much free time are you going to pull out of thin air if that's what you want to do? The power is unimaginable. So let me give you some examples. Lana M, within 4 months, she had shortened her work week by 1.5 days, surpassing her original goal of 1 day. Lana now stops stops her work week at lunchtime on Thursday. Kahina Mendoza in Costa Rica, she was burning out trying to run two businesses alongside being a mom. Now she feels inspired, energized. She can bring multiple business ideas to life using AI to amplify her productivity. She's one of our graduates. Fernanda Bacenas in Mexico City, she said, I've saved hours of work, eliminated the need for an accountant, secure new clients, develop exciting new AI projects. A lot of you are going to find that the cost that you were going to spend hiring people, that frees up. You make money from this program almost immediately because cost goes down. So you can see how powerful this is. Now, because it's going to— we're going to start this program in a couple of weeks and some of you want to dive right in, before we even go into AI Mastery, we're actually going to give you a grounding program to let you get caught up, and that is Amplify with AI. This is one of the best-selling programs on Mindvalley. It's $399. It's me, Manan, and Viken Tash going really deep. Remember I showed you how I was using AI for things such as my supplement stack, diagnosing health challenges? You're going to learn all of that with Amplify.ai. This will become available for you. It's in less than 5 hours. You will move to a significant degree in terms of AI competency. You will be able to do things that your friends and family who are not AI competent will already seem— call magical. Now, the other bonus for AI Mastery is this: you get a certificate. And here's why this is really important. In today's In today's world, people want proof. Anybody can go and say, hey, I'm good at AI, but that certificate matters. If you're an employee, this can contribute to a raise. But here's what's happening right now. Most founders and most businesses are AI ignorant. So I read this article yesterday. Companies, small businesses are paying up to $6,000 for people to install and set up an AI agent for them. And setting up an AI agent takes about 2 hours. $6,000. With this certificate, you can already make money, thousands of dollars per hour worked, just doing some of the things we teach you for other small businesses if you want to go down that path. And many of our AI Mastery students are actually doing that. So this cert is pretty valuable. Now, the other thing about Mindvalley Mastery programs is that we are globally recognized education program. You get 108 CPD credits. This is continuing education credits. These are professional development credits. If you're an employee, you're looking to ask for a raise, this can be very valuable in helping you make that request. So many people find this truly useful. But we want to go further. You see, one of the things that's happening in the world right now is starting a business requires fewer and fewer fewer employees. But every founder, well, we want to focus on what we're good at and work with many, maybe other founders who do something that we don't want to touch. So let's look at LinkedIn as an example. I showed you a screenshot earlier today of Sabrina. She's one of the top LinkedIn experts in the world. She handles my LinkedIn. And Sabrina was talking to my AI, Eliza. And Eliza and Sabrina, they run my LinkedIn. I'm not even involved. I just don't do LinkedIn. I don't like social media, guys. So we thought, how would it be, how cool would it be if we actually built an AI-driven platform connected to Blinklife where founders can get matched up? So if you're great at music and you want to create a video and someone is great at video, you can find that person. Or if you're great at developing iPhone apps and you want to build a new meditation app and someone is great at audio, you guys can connect. This is the new platform that we are, that we created. Now, I was trying to create this platform for a long time. It was too expensive. I spent $600,000 on the platform 2 years ago and I got feedback from a lot of our members and they wanted this and they wanted that and was too expensive to build. We scrapped the entire platform. We started fresh in January with new AI coding models. And as I said on day one, we got to that $600,000 bill for $20,000 because Opus 4.6, which came out in February, is making software development easy. So this platform is going to be ready in 2 weeks when AI Mastery starts. And here's what it's going to do. The first thing is you're You're going to be able to see every other student and find people in your city or find people by industry. Maybe you want to find other people in longevity. Now the faces here, of course, we cannot share real student information, so these are all dummy faces. These are not our real students, but you get the idea. But this is where it gets better, and our students asked for this when we surveyed you guys. We're building a project collaboration so someone can say, you know, I'm looking for a tech co-founder for my new meditation app. They can post it and other students can find opportunities. So you might find your new CTO or your new co-founder or your new business partner or your new collaborator through this platform. And we are also doing something that was inspired by Burning Man. So let me tell you what that is. So Burning Man is a festival and you're not allowed to charge. It's a gift economy. So, you know, I actually do coffee chats with our members. A few months ago, I invited 12 of our Mastery members to come and have coffee with me in London, and I asked them for their feedback. And one of the things that came up was this: we want to be able to trade services. So we are building this as well. So imagine Elena can say, I'm a great logo designer, I'll help with logo, but I need help with SEO. Or Sarah can say, I'm phenomenal at Instagram strategy, but what I'm not so good at is copywriting web pages. And you guys can trade skills. So I'm really excited about this. This is going to be available. Think about the money you will save. Think about how much further you can go. Now, it's like I said, Mindvalley is AI first for human first. We want to give you your own personal AI. But the thing is, We want to give you human collaborators, human partnerships, human friendships, and that's very important to us. And the other thing that we're going to do is in this same platform, you're going to be able to create meetups. As I said, I created a meetup and I met up with 12 people last, last January in London, and you're going to be able to do that. We're going to encourage you guys to create AI Mastery student meetups in all the big cities where we We had students. Okay? So, the next thing that you get as a bonus to make this whole experience even better is call recordings. If you can't make the call, which starts around this time, the time we're doing this summit, the recordings are available for you on the Mindvalley app, which is so beautiful, it was featured last year in 200,000 Apple stores globally. And finally, a special bonus. And I'm really excited about this one. I've been working on this since November, and it was only because of new developments in AI that recently came out that I'm able to scale this. So I built really advanced AI models for myself. I showed you Eliza. I showed you how I created a book proposal in 5 minutes. What I haven't showed you is that I can actually go to Eliza and have her write the chapters of that book. What used to take took me 100 hours last year, and that's with still AI. Now it's 20 hours. I can produce a book in 20 hours now, and that's because of Blink Life. And this is what we're giving you. I showed you a raw, stripped-down version of Blink Life. There was no colors, but it's going to be ready soon, and you're going to be the first people invited on it. Blink Life will give you your own personal AI. You'll be able to communicate with it through Telegram, so You can use Telegram. If you have an extra phone, you can use WhatsApp, but you'd have to get an extra WhatsApp number, but Telegram is pretty much good enough. Blinklife can run your life. It can listen in on meetings. It can coach you. It can build web pages for you. Everything I showed you based on the model, Blinklife just helps you do it lightning fast, and you're going to be one of the first 1,000 people to get access to Blinklife, so you can grab your Blinklife That's like an Instagram handle. So you can be the first @Mary or @Ali or @Tom on Blinklife or @MeditationTeacher or @SpainTravelAdvisor, you know, whatever it is that you want. So really excited to share this with you. You're going to get 4 months of Blinklife free, but you're going to be one of the first people on it. We're going to guide you through it, and we're actually going to use your feedback to help fine-tune it. And after that, we'll show you if you want to continue with Blinklife, you can. If you want to stop Blinklife and take everything you've learned and moved it to Claude or ChatGPT, we'll show you how to do that. So it's portable. I believe that's a very fair way of building products in the age of AI. Okay, so what will Blinklife do? Remember I spoke about the importance of memories and goals? So I've architected in Blinklife the AI to create a memory map of you. This is the most important thing. As I said, my Blinklife AI knows what I ate for breakfast. Your Blinklife AI will know you so well, it'll know your employees, it will know what's happening if you allow it to read your email, which you can. It can check your calendar and becomes a concierge that can help you manage your life. My Blinklife actually has replaced my personal assistant. She was amazing, but Blinklight just has this PhD-level brain and infinite memory, and it can do so much more, from building websites to helping me with training. In fact, the Blinklight that we're creating is going to be— is going to learn AI mastery with us, become an expert in every teacher's modality, and you'll be able to ping it to ask questions. So you all get customized guidance through your Blinklight as well. Okay, so here's the a complete package. Weekly live expert training worth $16,000, okay, at about $1,000 per training. Live guided implementation where we hold your hand and you build what is necessary for your business, $16,000. Certificate, CPD credits, $2,000. Community, this is lifelong. As long as you guys are on the app, you have that community, and we're going to give it to you lifelong. It's really powerful. And then acceleration. You get Amplify with AI, which is my 5-hour course with Manan and Vikintas to get you caught up. And finally, you get access to Blinklife, which is priceless because it can do so much of the work for you. The total value, $37,000. That's high for some of you, but imagine what it can do for your business. My AI skills have saved me millions me millions upon millions of dollars. My ability to write a book in 20 hours makes me hundreds of thousands of dollars instantly. Imagine what this can do for you. But the thing is, it's not $37,000. All it takes to claim your space is a one-time deposit of $997, and then it's $1497 for 4 months. So the total is $6885, but you just start with a one-time deposit of $1,997. So you can get started really, really, really fast. Okay? One-time deposit, $1,997, and then $1,497. Or you can just pay in full and save $1,000. Then it's $5,997. So you can decide which way you want to go about this. And because we want to make this really easy for you, you can have a 15-day risk-free guarantee. Now, what this means is this. You know, if you were buying a car, you would test drive the car. So if you're thinking about AI Mastery, test drive it. Join us for 2 weeks so you get 4 classes in those 2 weeks. See how the classes feel, try it on. You'll really get tremendous value. In fact, from those 2 weeks, you'll probably make more than the cost of the program, significantly more. And then you can decide if you want to continue for the remainder 14 weeks or get a full refund. Refund. Okay? Full refund is easy. Now, I also want to say one more thing about the price. As you know, if you happen to have a Mindvalley app subscription, you save an extra $500. We love our members in Mindvalley, and anyone who's a member, you get a further $500, so your membership is basically free. Now, we don't want you to lose one moment of momentum. The AI Mastery Program begins tomorrow at our welcome celebration. So tomorrow itself, we're going to invite all the members who join for a welcome celebration. Um, bring your own champagne or whatever it is that you drink, and me and Dick and Tass are going to guide you into how we're going to kick off the program. So if you know this is for you, go to your dashboard on Zoom and click I'm All In to place your deposit and claim your space in the AI Mastery Program. Or if you questions, we have program experts available. Click Talk to a Program Expert. Our team is on standby to support you. We cannot wait to see you in this program. I cannot wait to give you my AI tools, my AI, my whole AI application via Blinkline, so you have the exact AI that I'm using in my company. Thank you.

Okay guys, now listen, I saw in the chat some people were wondering—

back to you, Jason. Yeah, thanks so much, Vishen.

Uh, some people in the chat were wondering if this is the end of the day. We are not done yet. So you're gonna want to come back and join us in 30 minutes because Vishen will be doing his live laser coaching that a lot of you submitted, uh, a lot of you people submitted questions for. So whether or not you submitted a question, you do not want to miss it because the insights that you'll get from hearing Vishen answer your challenges and your questions is gonna be priceless. So take a quick break and we will see you back here in 30 minutes.

4, 3, 2, 1.

Okay. Welcome back, everybody. So excited to have you back here. Now, what you're about to see is one of the most powerful things that happens at any event like this that I'm ever a part of. Excuse me, because everything that you have been taught so far has kind of been taught at you, right? It's, it's brilliant teaching, but it's been taught at you. And what happens now is different because we have preselected a handful of real people, people who have submitted their questions, who shared their real situations, their real blocks, their real business challenges. And Vishen's gonna answer their questions live right now in front of all of us. And this is the exact same kind of interaction and coaching that happens during the implementation calls on Fridays in AI Mastery. So you're getting a real taste of what this looks like and how powerful it can be. Now, why does this matter so much? Because there's always that voice, that voice in your head, and you know exactly which one I'm saying. Sure, it works for Vishen. It works for Dominick and Noelle and for the 4 amazing AI Mastery grads that you heard from. But my situation's different. My business is different. I'm different. And that's why what happens in the next hour is so important. So we're gonna do some live laser coaching. Vishen's gonna teach a small portion first as a framework that's really powerful that I want him to share with you. And so now I'd love to welcome back my friend of close to 15 years, 15 years whose name I apparently still butcher, Vishen Lakhiani.

Guys, we still have an echo. We still have an echo. I have an idea. Let me just turn this off and just use my computer mic. Immediately, the problem will be solved. Okay. Can you hear me now, Jason? I can hear you. Yes. Okay, great. Yeah. You know, the whole issue was we were overcomplicating things with this little wire mic. I can use the mic on my computer, and I think everything is good. No more echo, right, Jason? All good?

Yep. All good. All good. Okay, perfect.

Perfect. So what we're doing right now is called laser coaching, and we're going to show you how we actually work with many of the students who are in our AI Mastery to help them solve problems with AI rapidly fast. Now, to understand the methodology that we are going to use, I need to just quickly share this same image with you. It's the same image I shared before. Give me one second. Everything I'm doing is live. So, you know, when you guys see that there are some technical issues, it's because we're not using Keynotes. We are— we're doing a lot of this stuff live. And that's when sometimes these errors happen. So I hope you forgive us for that. Okay. This is the format that we're going to use right now for laser coaching. And Jason, when you bring up the first person, I'm gonna take them through this format, vision, brain, create, team. Okay. Step 5 is system. That's everything integrated with your business. But what's gonna happen is it's not just the 5 people I'm gonna laser coach who are gonna gain a benefit here. As you guys see me repeat this model, it's going to sink in for you too. Okay, so Jason, who is the first person we're going to be working with? Hello, Jason, are you there?

Jason? Yes, I'm here.

Can you hear me? Yes, I can hear you perfectly.

Are you ready for the first person to be called up?

100%. Yeah.

Okay, great. So let's— fantastic. Let's call up Catalina Villarreal.

Do we have Catalina? Hi, Catalina. Catalina, can you hear me okay? Yes. Yes. Wow. Wonderful, Catalina. Okay, so what we're going to do, Catalina, is we're going to help you solve a problem with AI. All right. So I just want to get permission, Catalina, from you to be able to have my AI listen into this conversation and offer her advice as well. Okay. Yes, of course. Thank you. Okay, perfect. And we'll discard this conversation after we are done. So my AI, Eliza, which is sitting on Blink5, is watching and listening. And Eliza is trained on this model. And what Eliza is going to do is Eliza is going to offer as an AI, she's going to offer as well. Over the break, I had her listen to my training on the model, and I had her download a skill like Neo from The Matrix to be an AI consultant. Eliza, Catalina, and here's the screenshot, Eliza, that I recently shared with the group. Okay, Catalina, let's begin. Tell us about what you're seeking to solve. Look, I love learning.

I love a lot of things. There's longevity, there's finances, there's the podcast, my Mindvalley classes. I have entrepreneurship, I have the social media, I have the AI on 25 and I'm going into 26.

And I just love everything.

I just love everything.

But it's like, it's there.

I need this organized knowledge base.

That I can, okay, I heard this podcast or I heard this, I'm going to want to send information right away into a place that it can be with a memo or voice or something that it just can go and it's already filed. So it's easily accessible.

Yeah, you're right. You're right. So Carolina, how about in 10 minutes, 12 minutes maybe, I show you how to listen to any podcasts, listen to any lesson and immediately extract what is most important for you and then turn it into very clear notes, which are beautiful to look at. Would that help?

Absolutely. Yes. Okay. And in fact, it's—

In fact, what? It's the— even sometimes I know there's a subject that I'm interested in, but I don't have the the 20 minutes and 20 minutes and 20 minutes to listen to it. And you briefly mentioned that, that we can extract something without actually going through all the YouTube videos. Yeah, exactly. Exactly. Okay, so let's do that right now. Now we're going to go through the diagram, so I'm going to share my screen. Okay. And we're going to go through a set process. Now, what you're seeing over here is my AI Eliza listening. Okay, listening and she's commenting. So you can also see what Eliza is commenting. This is on the Blink Life system. Okay, Eliza already understands the methodology. So what I'm going to show you, I'll show you like how we would do it with— I'm going to use two different tools. Okay, so one of the tools is the concept of the brain. So I'm going to show you recently what I did. I attended Peter Diamandis' exponential summit. I take all of the lessons that I learn and I upload it into a brain. This is a brain. Now, once it's in the brain, okay, I'm able to ask any question I want. So there was a talk by Elon Musk. I uploaded it here. And now I'm going to say, hey, Eliza, you know, loved what Elon said. I want to turn this into a LinkedIn post. Could you download a LinkedIn skill and create a LinkedIn po— well, you already have a LinkedIn skill, so could you just create a LinkedIn post for me based on what Elon said? Okay. So she's gonna do that. All right. Now let's look at what am I doing? So first, I know the goal. That's the vision. Okay. I've already set the memories. So my memories here are what did I just learn? I downloaded. So I'm, I'm recording things on my memo at an event. Mm-hmm. I save it. I save it on Google Docs. I download it as a text file. So that is memories and life data, right? Now I feed it into the brain. So there are many ways you can feed into the brain. You can feed recordings, website, docs, notes. Here I'm feeding recordings. You know how I feed a recording? I open up a Google Doc and then I just copy and paste the results of my voice memo. So I just copy and paste. Then I go File, Download as a text file. Okay, so then I feed it in. And then remember, Eliza has a skill. I told her, use the LinkedIn skill. And then now she's going to come up with the final piece, which is a LinkedIn post. So there you go. Okay, see, the economy is about to 10x and nobody's talking about it. So I don't remember what I heard Elon said, but because I recorded it and I put it in the brain, and Eliza— so Eliza accesses my brain. She uses her skill library here. She's using the LinkedIn skill and she wrote a post. I sat with Elon. Okay. So this is a little bit wrong. I didn't sit with Elon. I need to correct that. But the essence is there. It's okay. I listened to Elon, right? He said something that sounds science fiction. And what he basically said is that the economy is going to grow by 10x. Now what she's doing is she's bringing in my, my rules. So you might notice why is she saying Mel Brooks energy? Because Mel Brooks is one of my favorite TV actors, and I love the way he adds humor. And I found that adding humor to LinkedIn works. So she's smart enough to know that that is my specific style of humor. Mel Brooks absurdist. If you watch 1980s comedies, you will know what I'm talking about. But yes, I know, maybe I got the LinkedIn post. Okay. So again, let's go and see what happens. Every time you attend a conference, every time you attend a podcast, You want to download it. Now, if your podcast— actually, YouTube has made it really easy. If you open up any video on YouTube, let's look at this one. Okay, this podcast with Jay Shetty and Roxina Fousey. Okay, if you scroll down here, you just click open over here, you will see access to the transcript. So where's the transcript? There we go. Transcript. So you don't even have to listen to the podcast. You can just copy the transcript. I'm copying that right now. Okay, it's on the screen. Copy, copy, copy, copy, copy. It takes a while, but I'm copying all the transcript. Okay, so it's 1 hour 35 minutes. I've copied the transcript. Now I open up a Google Doc, and I'm just going to paste it here, and it's going to look ugly. It doesn't matter. It's not for reading by human. It's for reading by AI. Now I'll just call it, okay, Jay and Roxy. They're both friends of mine, so it's I'm sure they wouldn't mind if I rip up their— rip down their stuff and show you how to analyze it. Now I'm gonna download it as a text file. Okay? So this is a way to listen to any podcast and get the core essence really fast. Okay. Now let's open up— I showed you Blinkline. Let's open up ChatGPT. Okay? So we're opening up ChatGPT. And what I'm gonna say is, I found this really cool podcast and I'm sitting here with my friend Catalina. I'm going to give you the transcript of the podcast. Don't do anything with it. Wait for further directions. Okay, so this trick, wait for further directions, is quite important. Okay, so first let's upload the transcript. Okay, so we got the data. We've actually done this step. We've got the data. Okay? It's a recording. The step we haven't done is this. So Blink Life knows my memories. That's why she brought in Mel Brooks energy, you know. But ChatGPT doesn't know your memories, Catalina. Your ChatGPT knows a little bit about you, but my ChatGPT doesn't. So we have to introduce you. Okay? So the first part is— so we are changing the order a bit. I'm first uploading the data, but now I gotta tell it about you. Okay, so it says I won't analyze, summarize, or touch until you say a word. So now I'm going to hit record. And Catalina, I want you to tell me, you know, let's talk about a big goal in your life. So Jay and Roxy are talking about manifesting. Is there anything you want to manifest, Catalina?

Yes, I want to start a business in where people— where I can help people free of time.

For me, it's like I'm 60, I'm—

I feel like I was working so much or that I don't feel like I saw my children grow up.

So for me, sometimes people talk about time being money. For me, time is life. So when we free up people's time, it's such a value for this age, I think.

Okay. Okay. So that's some information. You poured your heart out. Right? That's really good. Now I have my ChatGPT. Listen, I was using Whisper Flow. Okay? Now I'm just gonna add a little bit of context to it because it's, it's, it's, since it's not your, not your ChatGPT, I, I don't want it to think it's me. So I'm gonna say, I'm sitting here with my friend Catalina. This is what she told me. Listen to the podcast I just uploaded and extract the most important lesson for Catalina. Okay? So now that's what it's going to do. So what are we doing? So while it's doing that, so now we have given your AI the vision. Okay? So we've done that. It already has the brain. Now ChatGPT. So this one, we don't need any special skills because ChatGPT is already good at extracting. So we don't need any special skills. In the example with Blinklife I showed you, we were writing for LinkedIn. That's a specialized skill. LinkedIn has unique rules. But here we don't have to worry about that. But now what we're coming to is the output. So let's see what ChatGPT did. The most important lesson for Catalina, you don't need more time. You need permission to trust your worth now. So what it's doing is it's going through this podcast. It's finding the key ideas that are necessary for you. So you don't have to read, listen to the entire podcast. You just need the key idea. Now, what if, Catalina, you could, you can go further. You can, every podcast you listen to, you can just scrape it, download it, store it in a folder on ChatGPT called inspirational ideas. So you create a project. You can do it on ChatGPT. You can do it on Claude. You call it inspirational ideas. And, and it'll summarize it to you. Would that help? Yeah. Okay, so part of the structure. Yes. Yeah. So here you can see this is a direct message for you. But let's go further. Okay. So I want to show you a tool called Notebook. So Notebook is designed, is by Google. Vikintas is going to go, is going to teach you guys this. But Notebook is for people to learn. And because Google owns Notebook and Google owns YouTube, Google makes it very easy. So we're going to go back to this YouTube video. We're going to go to Notebook, and we're just going to link the YouTube video. Okay? Now it's already analyzing the video to extract the key lessons. And then you can ask it questions. So I can say, how can I define confidence beyond just being an extrovert? Okay? But I can also do this. Let's go back to your request. Okay. And I'm gonna paste it over here. So it's analyzing the podcast, and now you can talk to the podcast. You can ask the podcast questions. So it's gone through what Jay said, what Roxy said. I love them both. They were both speakers on Mindvalley last year. And here it's given you the methodology. But let's get more specific. Let's put in your goals. So I'm gonna say I'm sitting here with my friend Catalina, same stuff. And now it's gonna extract the right information. Now, what's beautiful about Notebook is it's a learning tool, and all of us learn differently. Some of us love mind maps, some love slide decks, some of us love flashcards, some want to quiz. Okay? And I'm gonna show you how to do that. So what it's done here for Catalina, it said the most important lesson for her as she starts a new business at 60 is to release guilt of her past choices and prevent her inner critic from sabotaging her new purpose. And now it's giving you the key takeaways. Let go of guilt, remove fear and doubt, make a decision from her highest self. So you see how this is intimate to you. Mm-hmm. So sweet. Okay. But let's make it even more interesting. Okay, let's create an infographic. So now what we're gonna do is we're gonna generate an infographic on this, an infographic for you, because maybe you're a visual learner. So can you guys see how all of you can do it? But what was the thing that was different? Most people, they put docs, notes, websites, recordings into AI, but they don't tell AI their vision. This is who I am. This is my pain. This is what's happening in my life. This is what I want to create. Okay, so right now, because we're just looking at the purpose of learning, We don't need to do skills. But Catalina, let's say you want to share a blog post about what you learned from Jay and Roxy. Let's say you want to write a LinkedIn. That's when skills come in, okay? But right now, it's not necessary. Let's go back to Notebook and let's see. Okay, it's still generating the infographic. And let me see, let me go back to Eliza, see if she has anything to add. Okay? Hey, Eliza, anything to add? Yeah, he said you're doing great here. A few things. All right. Now she's giving me feedback. No, no, no, no, no. Don't give me feedback. Teach the student. Help me teach the point. Because she's my AI, she thinks I want her to coach me, which is what she does. Okay? Okay. Okay. The core point. Okay, that we want everyone to understand is you don't consume content passively anymore. You extract wisdom from it. Number 2, AI becomes powerful when you give it context about who you are. Third, time is your most precious asset. Automate the consumption part. Okay? Okay, now let's go back to Notebook. It's still generating the Infographic. Here it is. Now you have a beautiful infographic. This is directly from the podcast. So every time you listen to a podcast, what you want to do is you want to create a Google Notebook. Okay? So these are my notebooks. So I'm studying companion. I'm studying AI memory. It's a very technical field, but this is where I've put in tons of articles, tons of things I'm studying. Memory design. But I have all of my notes on memory here because that's what I'm building, right? And I can ask it to create an infographic on memory, flashcards on memory. So you create a notebook for anything that you are studying. I was doing an interview with Gwyneth Paltrow. I know some of you are wondering, what does he have Gwyneth Paltrow there? I'm not stalking her. Don't worry. I interviewed her on stage last year, and I needed to study her combined interviews so I could do a good job. So I put her interviews here, and I said, analyze this and give me some great questions for Gwyneth. All right, thank you, Catalina. Can you see now how with AI, and especially NotebookLM, you can aggregate everything you're learning and get customized advice? Yes, thank you. Thank you very much. OK, thank you, Catalina. Let's bring up the next person.

Question. Next, we're going to bring up Rick Fagan. And Rick is really excited about using the AI teammate to handle the multitude of tasks that he needs to do for research. He's in the live event space and all the information has to be gathered, but he also wants to figure out about content creation using AI. And so one of the things he's kind of most concerned about is something that we've heard from a lot of people here over the last couple of days is security. So he definitely would like to talk more about that as well. But the real thing that he wants to solve in his life that he's hoping to get some help from you, Vishen, on is the best place to start and get scaled quickly with the tools that we've been discussing. And how to create content in the background using these tools. So Rick, meet Vishen. Hi, Rick.

Nice to see you. Rick, just getting your permission to have my AI listen in to you as well. Okay. Rick, could you say something so I can make sure I can hear you? I don't hear Rick. Jason, do you hear Rick?

We may have some audio issues. Let him give us one second.

Okay, I can, uh, we can come back to Rick. We can go on to someone else first.

Uh, we're—

yep.

Okay, Rick, we're going to work on your stuff in the background to try to get your sound working. So for now, we're going to move on to Ranjay. So Ranjay, we'll move on to you here. So Ranjay is most excited about the potential to think bigger on a different scale, the possibility to replicate processes across companies and optimize workflows and reduce errors. One of the things he's most concerned about, again, security of data. And so that's, that's a big concern across the board. And the thing he's really trying to get help with here is how he can trust AI to repeatedly do tasks with the same high accuracy, especially around data analysis and things of that nature. So Ranjay, meet Vishen.

Hi, Ranjay. Nice to meet you. Nice to meet you too. So Ranjay, tell me about what, what Jason shared was a little bit vague. Tell me a little bit more about what you're thinking. Yeah.

What's the problem you're trying to solve? Yeah. So Vishen, couple of companies in Germany and our idea is to use AI more and more in order to, let's say, automate our processes and have less dependency on skilled labor. And a lot of the work—

So, Ranjit, let's go super specific, super specific. For this to be effective, I need you to give me one problem. You've given me like one year's worth of problems, which is a lot.

I'll give you an example. I'll give you an example. So we are in the automotive space. Order entry, for example, we have a team which does order entry today. And we have, of course, an ERP system, but somebody has to still type in an email, read the customer's email, type in the stuff into the ERP system. And there's, of course, problems of incomplete information or somebody making a manual mistake or whatever else. And training new people, et cetera, is also complex. So I want to be able to automate this process. And I want to be able to download or read from the emails, extract the information, and make sure that the ERP system gets fed with the correct data. Customers are already pre-asked questions for incomplete information, and that this process is reliable and repeatable.

Okay, one thing you basically asked me to build you an entire CRM system. Now I can do that in 8 hours. I cannot do that in 15 minutes. So you got to narrow the problem. What you're doing is you're having classic founder issues. You're expanding too fast. Bring it down to one simple thing because I need to, we have to solve that problem in 15 minutes. Now, 8 hours to build a CRM system is already an incredible skill, but we don't have 8 hours. So I need to bring you, I need to pull you down from founder mentality to one specific thing.

Yeah, let me ask for more specific thing. We have, of course, for example, customers when they order, so they have, they have trends of ordering and the patterns in which they order. And sometimes it's important to be able to understand this pattern and proactive or proactively address customers so that they know that we are supporting them in making their decisions.

Still being too wide. What are they ordering? What is your website?

Give me your website. Um, so we are in the label printing business, so they order labels from us, B2B. Okay, what's the website? The website is called, uh, rabe.kg. I have—

was that a German word?

Yes, yes. So sorry, I'm in Germany, I'm used to saying it in German. It's R-A-B-E R-A-B-E. What is K? Point.

Okay.

A-G? K like kilo and G like gram.

Okay. Rabe. Dot. A-G. KG, kilogram?

Yeah, like kilogram.

Rabbe.kg. Okay, let's see if I can bring up this website. Now we're going to immediately face a problem because this is going to be German, not English. Okay, so etikettenrabbe.de. Is this the website? Yeah, yeah, that's okay. Okay, so what you want— so people are ordering labels, and what is the problem again that you're trying to solve?

So, um, I, I'm taking you a step ahead. It's, it's, it's more a different problem now. Okay. When they order, they have patterns. Every customer has a pattern. We have different labels that we supply to them, right? And when we try to do data analysis— and I've tried to use AI doing data analysis, uh, from Excel spreadsheets we downloaded from our C3 system— I have all the, all the ordering patterns of all the different stuff they order. But we want to analyze the data to proactively address the customer. Um, and when we do that, the problem is that It runs an analysis. Sometimes the analysis is not fully correct. When the analysis is correct, then when you repeat the analysis again after a month, for example, it doesn't bring the same consistency in results.

So, okay, how are you doing, how are you doing the analysis?

So we use Claude, um, and we've started to, to— so, so one of my ideas from the last two days was perhaps to improve the Skills on Claude.

Okay, I understand, but what you're describing is still too vague. It is not— I apologize, I am not going to be able to work on this case. Okay? Okay. What I do want to show though is analysis using Claude. I'm going to show you that, but I don't know what is your— but we're going to use actual analysis. Jaideep and team, can I get the chat transcript for what's going on here at this event. I'm going to show people how to do analysis using a chat transcript. Okay? But I will not be able to work directly on your case only because it's really uber specific. I understand that. Okay? But I will show you. But while you're here, I want to do a general class on analysis. Okay? So let's look at how that works. We're now looking at Claude. Okay, so what I downloaded every time we do an event, every time we do anything, we do, we download the content. So this is a file on all of the comments from the event. Nope, this is not it. I need, Jdeep or team, could I get the transcript for AI, any type of chat from AI Mastery? Yes. Okay. So Jaydeep from my team is sending me the transcript of everything everyone here at AI Summit has been speaking about. What I'm gonna give you guys is a simple way to look at a transcript when you're doing a Zoom call and to extract information. Now, the same thing applies not if you have a transcript, but if you have a survey. If you have a survey on your website, you ask your customers, what is your biggest pain point? What, what, what, what do you— how could we improve our product? You can extract information from it. While waiting for that, I actually want to show you guys something. Okay? So let me, let me show you this. So this that I'm bringing up is actual customer data from Mindvalley. So here we are using Gemini by Google. And what you're seeing over here is Actually, we have our engineers physically pick up the phone and talk to our customers. We have everyone in the company talk to our customers. So we become customer-oriented. So you can say Nadir, Nadir is actually a film person at Mindvalley. He goes and he interviews our customers. The customer here is Leonardo. And this is everything Leonardo said. So we record it. And then we give it to an AI that puts it in a structured document. Now, based on this, what we're able to do is we put this all in Gemini, and then from Gemini, we can ask Google things. Okay? So we can ask Google things such as, what are the top 3 ideas that customers want? Now, Google goes through all of the transcripts over here, and it identifies the 3 biggest things that customers want. From our app, improve content organization and navigation, enhance community features, structured learning, and post-quest support. And then I can go deep into any of these, and then you can see it gives the source. I can go deep into any of these and expand it. Now, if I put a human on this, the human would probably take maybe an entire month. The human would probably be— if Google is 85% accurate, the human would probably be 95% accurate. But there's a principle in business here called OODA. And OODA means Observe, Orient, Decide, Act. Observe, Orient, Decide, Act. OODA means you, the important thing is not accuracy, it is decision cycle. Okay, so let me explain how this works because this might answer your question. So if I put a human on this topic to go through all of these transcripts because there's hundreds of customer interviews over here. Human will probably take a while. I would guess like maybe about a month and the human would probably be 95% accurate checking, validating. This would be before 2023. A month is not good enough. If we have the data right now to 85% accuracy, we can move, we can build, we can structure, we can orient. So why wait a month for 95% accuracy when 85% is enough? So there was a colonel in the US Air Force called Colonel John Boyd, and he came up with this concept called OODA because he observed something really interesting. The best fighter pilots in America were not the ones with the highest accuracy. They were the ones who wasted the most bullets. The ones with the higher accuracy actually overall shot down less enemy planes because their decision cycle— observe, orient, decide, act— was too slow. So they were accurate, but they shot down less planes. But the ones who were making fast cycles— observe, orient, decide, act, observe, orient, decide, act, observe, orient, decide, act— they wasted more bullets, less accurate, but they shot down more enemy planes. Now, in a war, what do you care about? Do you care about shooting down enemy planes, or do you care about bullets? This OODA model is used across Silicon Valley. I attended a class on OODA at Singularity University. Ray Kurzweil, Google's VP of technology was there. Larry Page was in front of me. This then, at that time, he was the CEO of Google. This is how we think at Mindvalley. This is how they think in Silicon Valley. Forget 95% accuracy. So you can use AI for this. So I'm not waiting for my team to go deep. I have enough here that I can expand upon, and I can ask Google, okay, let's expand on part 1. Now, Gemini, by the way, is automatically part of Google. If you're using Google Drive, Gemini is already baked in. You want to get fancier, you can download this as text files, put it into Claude, and Claude might even give you a better answer. But if you want accuracy in AI, what you do is you use several different AIs. So you would ask Gemini, you would ask ChatGPT, you would ask Claude. You would get them all to produce a report. Then you would get 3 different reports. You'd stick 3 different reports into all 3 of them, and you ask all 3 of them to come to a consensus. Now you get an accurate list. This is— this model is called LLM Council. You have 3 different LLMs helping you decide. Okay? So that's how you make decisions in the age of AI. It's about how fast can you make the decision, not how accurate you are. Accuracy is less important than speed of decision-making. Accuracy, but you can get accuracy. You just use 3 different AIs. You have them create 3 different reports. You take those 3 different reports of the top features. You stick it into the 3 different AIs, and you ask them to reach a consensus each. And eventually, you're gonna come up with 95, 99% accuracy. Okay? So we're big on this. Like, we always call our customers. You can see everyone in Mindvalley talks to— is expects to talk to customers. I do, I do a monthly lunch with customers where I just pay for people to come and have lunch or dinner with me, and I just listen to them. And we're going to do that with many of you as well who are in AI Mastery, who are in London. I'll probably be posting an invite for lunch. Okay. Thank you. Let's go on to the next person.

Great. Thank you so much, Ranjay. I appreciate your question. And we are going to try to bring Rick back up now. So let's see if we can get Rick Fagan back up on the line.

Hi, how are you? Hi, nice to hear you, Rick. Thanks for having me on, I appreciate it.

So Rick, what problem are you putting this on?

This has been amazing, by the way. Thank you, Rick, I appreciate that. So Rick, what problem are you seeking to solve?

So I work in the entertainment business, uh, creating tours as well as special events, things of that nature. And one of my biggest tasks is creating budgets from scratch, which is what we normally have to do because, you know, I don't have a database system that has it all in there.

So I guess my question is, is there a way—

is it possible to pull information from historical data from other budgets bring it in from— let's just say we're doing a show in Mexico City, um, and we're getting ready to go there again. Can I bring up the information from previous tours, what we paid for sound, light, staging, etc., last time, to be able to come in and get a starting point? Obviously things change, and then somehow not have that data accessible because it's obviously very proprietary data for the artist. Is there a way to not have that kind of sitting out there?

Because I know, from what I know, once it takes it up in there, that's how we're all getting all this information.

Yes, yes. So your concern— so you know how to do the data analysis. Your concern is you don't want to feed it into an AI in the cloud, correct? Okay.

So, so can it look on my hard drive and then eventually not look at it anymore?

Yeah. So what, what you want to do is you want to do, you want to do this. I'm going to show you something you want to install. You want to have a fast enough Mac where you can install an AI on your Mac. The one I recommend is called Ollama. Okay, so I have a Mac M5. You got to make sure that your Mac can handle it. It requires a lot of memory and how you install. So this here we're getting really technical guys, this is beyond Summit, but this is something we cover in AI Mastery. But you can basically install it directly on your Mac with Ollama. So what, what you do is you— Rick, are you a Mac person?

I am, and I have two of the latest Macs. I got a 2 14-inch.

So you know how to use terminal on Yes. Okay, great. So all you got to do is go to Terminal. And so Terminal is just command line. It's like, you know, Microsoft DOS. You just copy this. You see that over here? You copy this. You'll install Ollama. Ollama sits on your Mac. You don't even have to be online. And Ollama can run the analysis for you. See, what's happening right now, Rick, is that the open-source models are rapidly catching up to the paid models. The open source models are only 3 months behind. So it's now March. If you're using Ollama, you're using maybe December-level AI. That's still really good. Okay, sure. And so you'll still be able to get really good analysis, but it's safe. Many authors, many people with their own proprietary technology, they want the AI to sit in their models, and AI models are becoming lighter and lighter. And Macs and PCs are becoming stronger and stronger. And so you can run your own LLM on your computer, and Ollama is the one I recommend. Okay. Great. I really appreciate that. Now, for those of you who use BlinkLife, we actually have an application called BlinkLife Bridge. And what BlinkLife Bridge does is it is a device that sits on your computer. So it sits on your computer. The files are on your computer. And what happens is that Blinklife can index the files, but it doesn't go up into the main Claude or the main ChatGPT. Another way for some of you is to use Open Claude. But Open Claude itself can be risky, but you need a separate computer for that. You'll need to buy a Mac Mini or something. But I have my Open Claude sitting on a Mac Mini at home. And it can access a specific Dropbox folder with a lot of my information that I don't want up, frequent flyer miles, for example, right? And it's able to pull it up and it shares it with me in WhatsApp. But it's not going into the main, it's not going into like the main cloud. So, so there are ways you can do that. But what I would suggest you do is you start with installing a tool like Ollama.

Okay.

Okay. Great. Thank you so much.

I really appreciate that.

Let's go on to the next person, Jason. Awesome.

Thank you so much, Rick, and thanks for dealing with the tech issues with us earlier. Next, we're going to bring up Bursu, I think it is, room 5. Bursu. And Bursu says she's very excited about the opportunities that AI can bring to her and her family and friends, especially especially around health. And the thing that she would love to talk to you about, Vishen, the problem she would love to solve is how can she build an app to show her how to eat healthier considering her personal workout schedule and fitness level, and then maybe even include family members in the app so they can all prepare meals that fit best for all of them.

Okay. I'm going to have Pursue say that again, but in her words, because I really want to understand the essence of what you said. Okay, Pursue? And it's Burcu, is it? How do I pronounce it?

It's actually Burcu. Burcu. It's Turkish. It's Turkish name. Yes. Yeah, but actually that was a better pronunciation than English people sometimes.

Yeah, yeah. Jason messes up any name that is outside America, right? Right, Jason. That's what I'm going to call you going forward. Okay, Virtue.

Um, well, first of all, thank you for amazing two days already, and thanks for having me on the stage. Um, yeah, my, my question was around, um, I was wondering how I can build an app that can actually help me specifically, um, considering my, um, workout schedule. I started to go to Pilates, and, um, you know, my body is different than other people. I was wondering if— how I can use— how I can build an app that actually specifically can help me, and I don't have to go and pay a lot of money for, you know, personal trainings and, and things like that. And also Maybe I was— while I was writing this, I, I come up with an idea, or maybe that help— that app can actually help me and my family to, uh, create a meal, uh, that we can enjoy all together, uh, considering our own situations. You know, like, I have a certain situation, and let's say my mom has a certain situation. She's using you know, her pills and things like that every day. So I was wondering to— I was wondering that app can actually create like a schedule, meals, and then we can enjoy together. And beautiful, you've got a point.

So, okay, so, so you, you have a big scope. So, Bridget, for me to do this I would need to act on your real health data. I don't want to ask you for that because that's your private information. Okay. However, what I will do is I will do it with my health data. Okay. Because my health data is okay. So I'm going to reveal my health data to you guys because that's the, that's the only way to accurately demo this. So I'm going to show you that there are two ways to do this. Okay. Now, all I ask is For me to demonstrate this accurately, I need to share my recent blood test results, which means you guys will know some of the medical conditions that I have. I just ask that this isn't something that goes outside this room. Okay, so let me share my screen right now and I'll show you. What I'm doing over here is a ChatGPT project called Health. Okay, so this is ChatGPT Health. I did this for my father. It changed his life. And you can do this too, Ruchir. You go to ChatGPT and you create projects. It's right in the sidebar. Now, the most important thing about the project is you then should upload everything in your project. So I have everything in here, every medical test, VL blood test. BioStack is a health testing company, True Health. This is my government health portal information in Estonia. In Estonia, we, we get government healthcare. I have STD tests, urine tests, in-body scans. Everything is over here. Okay? So every 6 months I do a blood test. I do a comprehensive test costing about $1,000 to $1,500, and I upload it here. And what I've created is a data bank of my information. Let's go to the diagram. Okay? So what I'm doing is this part. I'm putting in documents. I can also put in notes. I can write a little short little Google note saying, Hey, I just spoke to my doctor and he says that my sleep is not very good and I should not eat meals 2 hours before sleep. That's it, that little note, and I can just upload it in there. So documents and notes. I might also, if I see an interesting website with some advice on maybe peptide therapy, I can also download that website and stick it in. Or if I have an interview with my doctor or a health coach, I stick that in. So there are 4 types. Documents, notes. Notes are like short little things that are websites, maybe information that you're interested in. Maybe you follow Dave Asprey, you follow Ben Greenfield, and recordings. Now, once all of that is in, I can have chats with it. So I wanna, I'm gonna ask it right now. Okay. I'm in Mexico and jet, I'm gonna use Whisper Flow. It's so much easier. I'm in Mexico in jet lag today. I woke up at 6:20 AM, and I'm just wondering, is there any supplements I should take that could help me sleep earlier? Also, you know, I have a histamine reaction to certain supplements, so I want supplements that do not trigger histamine. Okay, that's pretty specific. And now, because it has all of that data on me, it's able to act incredibly precisely. Okay, now ChatGPT is quite empathetic. I like that about it. And now you're seeing it's explaining to me the connection. I recently developed an allergy. So certain things like if I eat seafood or soy sauce, I get like, I get this itchiness. And ChatGPT understands that. So what it's doing is it's giving me exactly what I should take for my jet lag, but it's taking into account my allergy. And look, it is giving me data also from my blood work. BioStack, June 14, 2025. It's telling me use glycine-bound magnesium because it's non-histamine triggering. So I did this for my father, and then it also tells me what to avoid. See, this is really important. I— somebody, a friend of mine gave me ashwagandha. Okay. And I was told about all of the benefits in ashwagandha. Turned out if I take ashwagandha, I have an allergic reaction to it. I cannot take ashwagandha. So I was listening to my friend and I didn't realize I was harming myself. This is another thing that happened before I had this. I listened to a video by Dr. David Sinclair and he said, Everyone has to take NAC. It's incredible. He didn't say that. I misquoted him. They asked him, what are the top 3 things you take? He said NAC. He's one of the top longevity specialists in the world. So I took NAC. I'm allergic to NAC. It completely— it wrecks my entire day. My whole body gets itchy. But because of ChatGPT, I now know what not to take. And so this has been really, really, really helpful for me. I went through a miserable 4 months. And this has been a really powerful tool. Now you can do the same thing. Now I'll show you something else. Now I showed you ChatGPT. I also want to show you Claude. You can do the same thing in Claude. Now what I'm going to do in Claude is I'm actually going to download my blood work and I'm going to show you how you can do an instant analysis on your health. Okay? And you can do this not just for yourself. You can do this for friends. Since I started doing this, So many of my friends literally send me their blood work and say, Vishen, could you help me with this? Now, there is a very interesting thing that I want to share. There was a study done in April 2023 on ChatGPT as a medical advisor. And what it found was really interesting. ChatGPT and doctors, okay? If a patient is listening to both and doesn't know which is human, it ranks the ChatGPT response as significantly more accurate than doctors. So I hate to say this, but this was 2 years ago. AI is now over 1,000 times more powerful. No, sorry, it's 256 times more powerful. And it's significantly more accurate than doctors. But here's the crazy thing. It also ranked, it also ranked the AI as more empathetic than doctors. And that this is something I found. And so I hate to say it. I have doctors in my family. I'm Indian. So definitely I have doctors in my family. But AI is at this point more accurate than doctors. Why? Because it's pulling from PubMed. It's pulling from the entire PubMed database. Okay. Now I'm going to So what you want to do is you want to get your blood work. But what you want to do is you want to save it as a text file. Remember I showed earlier how to take PDFs and save it as a text file? In most countries in the world, you get your medical stuff as PDFs. PDFs are just— they work, but they're just harder for AI. So I'm actually uploading my blood work here as a text file. And watch what I'm going to ask. Could you build a beautiful website to tell me what's going on with my body? Okay. This is my most recent blood work. It's October 30th, done in Dubai. Tell me what's going on with my body. Tell me what I need to be aware of, where I'm doing good. Tell me if— and make it informative and entertaining. I want a positive light on this. I don't want to be scared. But if there's anything that you feel is a warning sign, I want to know. Okay, that's it. So I just spoke to it like I want my doctor to speak to me. And it understands. Remember, AI agents significantly beat doctors in both empathy and accuracy. And this is nothing bad against doctors. It's just that these AIs have access. All of them reference PubMed. So PubMed is the global library for scientific studies. I believe it's— what's the website? It's this one, the National Institute of Health. And they're able to pull all of these studies. The second thing is doctors are so busy, they don't have time for empathy. AI has infinite time because it's scalable. So what's happening right now is I'm getting a comprehensive website on my health. Now, while it's building that, without giving away a name, because this may take 10 minutes, I'm going to show you the type of website it built for a friend of mine whom I was helping. And again, I just have to block off her name. Okay. So give me one second. I'm just pulling up the website. Okay. So this is, this is on Blinklife. So same deal. So you can see it's a beautiful website. And what's happening over here is you can see all of this data. My friend's name has changed. That's not actually my friend's name, okay? But you can see all of this data. And it reveals intelligently what's going on. Okay, what needs attention? What needs more context? The story behind the numbers. Okay, and all of the things that how she should change her diet, change her food, foods to reconsider right now. Now, this is— these are worth— there are companies charging thousands of dollars for this. Thousands of dollars for a report like this. You can do this instantly on Claude. This is, this is how you do it. This is exactly what I'm doing. One prompt.

So quickly, ask Vishen, if that's okay. So did you— so when we say app, was that the project in Claude? How did we mix the Blinklife with Claude? I could not catch that.

So, so how— so remember when I was showing you this diagram, I showed you there's something here called MCP. MCPs are how AIs talk to each other. So BlinkLife has an MCP. It stands for Mortal Context Protocol. So Claude can access my BlinkLife memories. My Open Claude can access my BlinkLife memories. BlinkLife is actually fundamentally, it's a memory. It's a memory architecture. And so my, my Claude can access my memories from BlinkLife, reference it against my medical scan. And let's say my medical scan shows, for example, that my vitamin D needs to be at a certain area. My vitamin D is a certain score. Well, if BlinkLife knows that I am brown skin and live in London where there's not as much sunlight, then I need to take 5 times as much vitamin D as a white person who lives in London. So those little details matter in medical report, where you live, your ethnicity. So that's where it helps when these AIs can talk to each other. Now, again, what you're asking is fairly complex, but the most basic thing I want everyone to understand is you can take your blood work, convert it to text, upload it to Claude, and Claude can generate a $1,000 report for you. Or you can create a health advisor on ChatGPT, upload everything, and then you can ask it questions whether you have, you know, you have the headache, you sprain your ankle, you can ask it questions. And if it knows your supplements, if it knows what's going on, it can help you. So I developed plantar fasciitis recently because a fitness trainer told me to walk on flat shoes and not a good idea. Okay. So I developed plantar fasciitis and it was an inflammation of my foot. It was terrible. and I went to this, this project over here and I said, tell me what supplements I should take. It knew what I was already taking, so it could recommend for plantar fasciitis, take more collagen, take vitamin C, cut down on this. Glycine has been scientifically proven to help. Okay, so this becomes a permanent health advisor. Do your blood test, upload it, upload your supplements. You can even have it analyze what you're eating. You can take photos of your food, upload it, and ask it to count calories. And if you do this for 1 week, it will get smart enough to tell you where maybe you might have a deficit, say in fiber, or where you might need to change your supplements because you aren't getting enough of a certain something like, say, omega-3 fish oil. So you can photograph your food. Let me show you how that works. Okay, so I'm just gonna put Picture of food. So let's grab that. Okay, there's a picture of food over here. Gonna put it over here. Let me put it into my ChatGPT AI. So I'm just gonna say, count the calories in this and tell me if it's okay if I eat this for breakfast, lunch, and dinner every day for 7 days. What might I notice? Okay, so I'm asking it a stupid question. Just want to see what it does. So all AIs right now are so sophisticated, they can to about 20% accuracy determine calories. 20% accuracy is pretty good. When you buy any product in America and you look at the calories on the product, that is 20% accuracy. So if it says 100 calories, it could be 80, it could be 120. The American labeling system allows 20%, like, up or down. AIs are going to be the same. Okay. 20% accuracy. And you can see it gives you the macros and then you can— and so now I told it that I'm eating this for breakfast, lunch, and dinner every day. Okay. And it's telling me exactly what is good about it, what's not good about it. So you're seeing your histamine risk. Chicken can build histamine. My LDL is elevated. Okay, so this is not— it's not a disaster, but long term it's going to push my LDL higher. So you see, it's correlating my blood work, my scans with something so intimate as to what I'm eating. And if I did this for breakfast, lunch, or dinner, that's 3,000 calories. If I'm not training hard, that means fat gain. But also I'm going to miss macronutrient diversity. Now, for simplicity, I'm uploading one meal. If you upload multiple meals, it is amazing what it's going to be able to catch. Okay, so see, it's giving me a psychological profile of what will happen by day 5. By day 5, I could possibly get skin changes, reduced metabolic efficiency, slight fat gain. My honest verdict: okay, yes. Optimal, no. Solid base meal, poor only meal. So the more you build this, the smarter it's going to get. This is good for me because it has my supplements. My food, my blood work. The more data you put in, the smarter it gets. But the most important goal is this, your goal. So let me share my goal. I want to put on— I want to keep my waist at its current size but put on 2 kilograms of muscle. Suggest the right meal for me and the right peptide therapy. Now notice what I just said. Right meal for me and right peptide therapy. But I gave it my goal. This is really important. Okay. And now this is where it gets surgical. Okay. So now see, it knows my testosterone, it knows my mitochondrial. Now it'll give me the exact thing I need for 2 extra kilograms of muscle. It'll tell me exactly what not to do. It'll give me the exact peptide therapy, CJC-1295 plus ipomerylin foundation. Because some peptide therapies you're trying to use for muscle will also give you belly fat. Okay, so this is how accurate it can be. Okay, now let's, let me go to Eliza. Okay, so Eliza's taking notes. Eliza, anything to add? Okay, let's just see if she has anything to add. Okay. She's talking to me and giving me advice on teaching. Anything to share with Virtue and the audience here on using AI for their health? How would memories, for example, help with that? Okay. So memories are the difference between AI being generic and AI being a health advisor, that you're brown skin living in London, so you need 5x more vitamin D. That's a memory that you have histamine intolerance. That's a memory that I developed plantar fasciitis from walking in flat shoes. That's a memory because there might be a PubMed study that shows that that correlates with a certain supplement. Your actual fitness goals. That's a goal. Goals and memories. Okay, so the important thing is train your AI with your goals and memories. And that is what this part here is about. Okay. Thank you, Burcu. Brilliant. Thanks, Vishen. I appreciate that.

Thank you so much for your question, Burcu. I'm so sorry that I butchered your name. I apologize for that. I loved your question.

Thank you so much for asking. And also, Burcu, while you're there, this is my My health analysis, I'm 85% optimal, 3 to watch, 1 alert. Oh, now I'm wondering, what is that alert? What is that alert? Oh, yeah, yeah, cholesterol.

All right. Well, I think I can speak for everybody who signed up for the summit that knowing about your cholesterol was definitely the high point, Vishen. Thank you for sharing that with us. It was great. Great. Okay, cool. Vishen, we have time for one last question. Is that okay with you?

You want to take one more? Yes, go ahead.

Let's go. Okay, great. So, so the final person we're going to bring up here, and I hope I don't butcher this name. It looks like Jeremy, but I'm not sure. And my cousin's named Jeremy, so if I got that wrong, I'm in a lot of trouble. So did I say it right or did I butcher it? You did. Yes. Yes. Yes.

How is your name?

It's Jeremy. It's, it's, it's pretty. Yeah, there you go.

Look at that. It's Jeremy. That's it. But of course you're American. He has no issues with American names.

Yes, yes, I am in America. You're correct.

Okay, so nice to meet you, Jeremy. What can we solve for you today? Awesome.

What can we— The question here is about what tool can be used to start to finish, from start to finish, to upload all of her video footage to make the content for Instagram and YouTube? So videos, scripts, background music, captions, CTAs, hashtags. What can she use for that?

Okay, so let's drill down to one thing, Jeremy. Okay. Yeah, let's drill down to one thing. Okay. Let me just ask Eliza. Hey, Eliza, what are the most important tools we should be looking at Or if there's a path of different tools, could you help me with this one? This is very domain specific. Give me a list of 3 tools that best describe everything that Jeremy is looking for that I can share with her. Thanks. Okay, Jeremy, continue.

Yes.

So yeah, because, you know, I find that it takes a lot of time doing the content.

Now I saw, you know, we've done these virtual bots and those kind of things, but I also go out and I take a lot of footage.

So I want to be able to give it that footage, have it cut it, do most of the work so that I don't have to spend a lot of time doing editing and such myself. Okay. Okay. All right. So there are several tools. So this is AI creativity. That's Manon's domain. Okay. But this is— these are the 3 tools based on what you said that Eliza is recommending. So let me share my screen. Okay, thank you. Okay, so the first is, okay, so she said this script and Opus Clip covers 80% of what you'll need. Okay, stop there. Layer in HeyGen only if you need voiceover magic. So let me show you the script. Okay. Okay. All right. Now we won't go into the tool because I don't know if I have an account on this one. But I do know that my team uses it. So let me show you what Descript does. You know how editing can get really annoying? Okay. So with Descript, when you upload a video, it gives you the transcript of the video. You go through the transcript and the part that you don't like, you just cut it out and then it edits the video for you. So let's say you say Napoleon was an amazing world general. No, I mean French general. It will put that in the transcript. You go and you cut out world. No, I mean, because you wanted to just say Napoleon was an amazing French general. It'll cut it out and connect it. So you get to correct. So when you're recording something, what happens is that you don't need an editor. You just need to edit the text. Now you can even take the Descript text. You can put it into a tool like ChatGPT and say, shorten it, compress, tell me what to cut. And then you put that back in the script and the editing, voilà, is done. Now there's— okay, so that's number one. Now the other one is Opus Clip or repurpose.io. It takes long videos and automatically generates short-form clips. Okay. Repurpose.io. So let's go here. Okay. Start automating for free. So what happens is that you basically, you can take a long-form podcast and then you put it here and it'll help you slice it up and make short form. Now, I've tested tools like this and I can tell you this, most of these tools are maybe only 50% accurate. We always prefer, we always prefer to have a human involved. So this one is not going to be fully automated. Now, that said, the tools are always getting better. Right now, the third one is HeyGen or Synthesia. HeyGen, you can basically photograph your face and then create a, like a video avatar of you that speaks like you. So you can look at that. But one of my favorite for just really fun videos is Higgsfield. Let me show you something in Higgsfield. So, you know, yesterday somebody said turn these guys into a boy band. So I experimented with all of these ways to turn Mannen and Goldberg and Vikintas into a boy band and to put them in different scenarios. I think this was probably my favorite. You can upload any image and then animate it in any way. And here I just told it, turn these guys into a boy band, put them on stage and be weird. That's what happened. And so you can, you can create original videos, you can create now. And I was using a very blurry image. If I had an accurate, because I screen captured it from Zoom, but if I had a proper photo, this would be a lot better. And so you can actually create video storytelling. So I'll show you, I'll show you One of the things that, that I did recently, let me show you something. So HeyGen has something called Soul ID. Okay, so a Soul ID is a picture of yourself. So you put up like 12 pictures of yourself. So that's a picture of me. Now you can go to Soul ID and you can, you can take that picture and you can put yourself in any scenario. Let me go here and where's Soul ID? Soul ID, Soul ID. Yep, SoulID character. Okay, so I'm going to generate and I'm going to say, put me in a giant squirrel suit and I'm running around grabbing nuts. Okay, that's a very dangerous prompt. This could go completely X-rated or completely bizarre. Let's just see how AI classifies running around grabbing nuts. Okay. So I might regret this, but what the AI has done is you upload 12 pictures of yourself. So these images of the guys was done with just one picture. But you cannot— but if you upload 12 pictures of yourself, you can create some pretty interesting ones. So my team was playing around with this. They were This is me baking, but it's done. It's an image. And then from the image, you can turn it into a video. So the image becomes a video. So let me show you an example. Okay, I believe this is a video. There, you see that? So you have an image, you animate. So here I was talking about Meta Ray-Ban sunglasses. I didn't have time to go to Hyde Park and film it. So I asked SoulID on Higgsfield to create a picture of me walking through Hyde Park. Holding coffee. And then what happens after you do that is you basically click to turn the image into a video, and I'll show you what happens. Okay, it's loading, it's loading, it's loading. There we go. I love starting my day with a walk here. It's peaceful, perfect for clearing. So this one, I forgot to turn off the shut up button, so it gave me a very, very voice that is not mine. But this is what it looks like. And it's reasonable enough. It's reasonable enough to use in a social media video. This is me cooking bread, baking bread.

Cooking brings joy.

This is so bad. Okay. So sometimes it fails. So this is another version. Oh, for fuck's sake. Sorry. I didn't mean to curse. I'm trying to find the proper version where I'm not speaking. Okay. See this one. I love the Disney touch. Exactly. This is the life I want. This is going to be in my vision board. I want a villa in Italy where I just make bread and bluebirds and animals come to me. Okay, but let's go back to the squirrel grabbing nuts. Let's see what happened over here. Okay, but now you get the idea. So Higgs field. Okay, it didn't put me in a squirrel suit. So, so this one was a fail, but you get, you get the idea. You saw some of the other examples. Now I can click animate and I can animate this, but this is how people are creating really cinematic videos. So Higgsfield is the tool. Higgsfield is a, it's actually a company from Kazakhstan, I believe. You get, you get a short, but every single video tool is in one platform. So you use all, so you don't have to get multiple subscriptions. Everything is in one subscription.

Okay. Oh, okay. Okay. And so, and it can also do compilation of shorter clips too, in addition besides just making like short videos?

You create, you can create up to 15-second clips, you download them, and then you use a free tool like CapCut to string them together. Okay. Okay. Gotcha. All right.

May I ask you a follow-up question just based on the—

I apologize, Jeremy, because I believe we may be out of time. Time. I got to check with Jason. I appreciate your time. So very, very great to see you. It's been a great conference. Thank you. Appreciate it. Jason, back to you.

Awesome. Thank you so much, Jeremy. Appreciate your question. Uh, loved running through all those tools. Really, really cool stuff. Thank you for everybody for your questions. Uh, and for the main session, we are done for today, but if you are one of our VIPs, you're going to want to stick around because in about 10 minutes' time, Vishen and Vikintas and Noël are going to be sticking around for your exclusive Q&A. So come back in 10 minutes.

For everybody else, I just have one thing to say, Jason. One thing to say. Okay. Sure. So, you know, for like everyone over here, we've covered so much in 2 days, right? And I hope you guys got a tremendous amount out of this. What I wanted is for everyone to have the same gift in life that I had, that I've experienced recently, which is where a 4-day workweek is enough to get all of the stuff that you want done. And that extra day, that extra Friday is yours. And this is a fundamental life-changing thing for people. For me, it's changed the time I spend with my kids. It's completely transformed my body at the age of 50. It's given me so much peace of mind. And it's dramatically increased my friendship. I believe this is the most important gift I can give people. And I wanna convince as many founders as possible to start moving towards this lifestyle. But this lifestyle requires an AI-first mindset because work doesn't just disappear on its own. If you're a founder, you have responsibilities. Even if you're a company of one, because of your activity, you are creating jobs for other people and you have those responsibilities. But what if You can figure out how to even grow your business, create more jobs, create more value while working less. That's the power here. We wanna give you AI so you have more time to create. Sorry, you have more power to create and more time to be human. Okay? And I believe the fastest way to get there, to go from just Fridays off to maybe Thursdays and even Wednesdays off, and then in Mondays and Tuesdays doing 3 times what you're doing right now in a 5-day work week. I believe that's AI mastery, and it's not hard anymore. What we are teaching you, we would probably need 8 months to teach 18 months ago. But with modern tools, with the new learning techniques we've developed, with BlinkLife, we can do it in 4 months. So I've learned over time in building my business that one of the most important things is we get stuck in the now. We get stuck in the old way of doing things. I call these rules of bullshit rules. And this causes procrastination and indecision. So I want to say one more thing, because if you follow me in Mindvalley, you know I speak about intuition. If your intuition is telling you, okay, that you're meant to do this program, that you're meant to be learning AI, that your soul is craving that extra time off, that your heart is also craving to build more, create more, write your new book, but in less time, then I want you to put a deposit down right now. Don't stay up all night, think, tossing and turning. It's refundable. You get to try it out for 2 weeks. I promise you that you will get the best night's sleep when you're no longer going through this decision in your head, when you know that the team that we've put together, the amazing faculty, the tools that we're giving you are all here to support you for the next 4 months, to support your business, to support your dreams. To support you being more human, being able to show up more for your friends, to give more for your help, to do more for the world, and getting you the time and freedom that, that is most important. So if you know you're meant to do this, like, don't think about it. Put down the deposit. And if you still have questions, my team is on standby tonight until midnight, and we'll be on standby till the last person is served. Okay? So doors open tomorrow at 10:30, and we start right at 11. I'll be kicking off the session with something you don't want to miss, and I hope to see you there. And tomorrow we're going to bring a lot of what we learned together and take you and give you the next step. All right, back to you, Jason.

So much, Vishen. I appreciate you saying that, and I love seeing in the chat all the people that have already signed up for AI Mastery. I can see how pumped you guys are, and it's going to be amazing to watch you go go through that journey. And in case you missed it, uh, we're gonna take a short 10-minute break and then come back for our VIP Q&A, uh, for our VIPs in the room, room 1 through 5. And for everybody else, we will see you tomorrow. Doors open at 10:30 Eastern, uh, and we start at 11:00 AM sharp. So I hope you have a wonderful rest of your day and we will see you very soon. Thanks so much.