Come Hang out with the I ❤️ AI Community

Oh my gosh. So good. Welcome to the I Love AI Community Call. This is where we get to hang out with our friends in Zoom, ask questions, talk about what we're learning, share what we're winning, uh, you know, and how we're winning in the world of AI. And of course, maybe voice some of our concerns. So that's, that's a real thing. I have some really exciting announcements that are happening, uh, as in the world of AI from my perspective. I'll also share what's been happening over the last week, what's coming up in the schedule, and then we will open it up for, uh, members of the community. These are our special members who have joined the community and joined us here on Zoom. Um, and so always I encourage you all, if you are going to volunteer some information, share a tip or trick, this is your chance also to tell everyone a little bit about you. So, uh, don't forget to say who you are and what you do right before you share your little bit. Bit of advice or guidance or just share a win from your amazing week. Um, the— speaking of an amazing week, I'm so excited to, uh, report that I had a crazy good Sunday last Sunday. That was International Women's Day. It was also the day before my son's 21st birthday. What? Crazy! Um, so, uh, which was also exciting and fun, uh, but on March 8th I got an opportunity to go to Miami, downtown Miami, uh, and, uh, a wonderful company called GoTo, uh, they are actually focused on the dental market, which I thought was very interesting. Niche little, uh, not a little company, a niche company, um, that focuses on, uh, dental, like, uh, professionals and getting them into the right role at the right time, which let's just face it, like that's a That's not something robots are doing anytime soon, like this, right? Our, our mouths, our, our teeth. Um, anyway, so really, really cool. Uh, I have to remind myself to talk to you about the Anthropic study that I saw today. Um, but that being said, they were nice enough to open their doors and allow 40 of us women to, uh, get together from 12:00 PM to 3:00 PM. And the day, of course, started well before that at midnight. Some of us members Got up at 11:59, or stayed up till past 11:59, until, uh, Lovable's doors opened and we got a chance to vibe code all day credit-free, meaning none of our credits were consumed. We just got to vibe and vibe and vibe. Now, in hindsight, I would have done things a little different because I don't know, I was just like, yeah, I'll just vibe this on the stuff that I'm thinking about. I wasn't super strategic. We've got some people in this audience like in our group, in our family that were very strategic with their time. And I was like, I need to learn from you all. Because the next day, right, come Monday, I was like, oh man, I should have built this out. And I should like, literally I should have done the hardest things about my project. I should have done all of that on Sunday and then cleaned it up on Monday. But I wanted like, you know, completion. I wanted to build something to the end and be able to say I built a thing. A full funnel and it's monetized and I made money, which I did.

But boy, I would—

on Monday I was like, I should have built like 15 things halfway so that I would only have little edits to make with all my credits. So as a result, I don't know if any of you saw this trend, but on Monday I burned a lot of credits finishing the stuff I started. So I was like, and, and ideas that I never got to. So I'm sure Anthropic, I don't know if you saw And it wasn't because of this amazing day, though I'm sure that contributed to it, but Anthropic, uh, is having its day in the sun. It reached— it had been hovering in the like 100 area of, uh, top apps downloaded on the app stores, uh, Google and iOS. Um, and it hit number 1, uh, post nonsense from last week, right? Like the political stuff that happened, um, and they're being dismissed by the government. So, uh, there was a lot— you should look that story up, it was very interesting. But they, you know, they basically got banned from government use, but in their defense of why they were banned, they gained a whole lot of public love. They, uh, spiked— you should look, there's data now that shows their utilization, it spiked like a lot. I will not, uh, do the data disservice by trying to remember what the numbers were, but it was a hockey stick moment for Anthropic. Um, and like I said, they got a coveted position that not every model gets, which is being the number one downloaded app. I mean, for a few days, a million people are downloading it a day. Like, that's pretty cool. Uh, so I'm excited for them, uh, and for their success. And I'll share a little bit more about some of the things that they are doing, um, that I'm excited about, but also show some trends that we're seeing in the marketplace. So after I went and, and, uh, of course, so early in the morning, they also Anthropic, uh, and Claude, they ended up, um, partnering with Lovable. And in the morning, uh, at Lovable, they did a live session to just kind of talk a little bit about the history and the company and why would they do what they do. And I will tell you, that's how I do all of my keynotes. Every workshop I do, I lead with who I am, not just what I do. And knowing who people are, I don't know, it made me that much more of a fan of, of the company, of what they do, what they stand for. So if you don't know the story behind Anthropic, you should learn it. I don't know if you know this, but they came from OpenAI, right? They're a little like, we don't, we're not sure we like what's going on, so we're gonna go do our own thing. It's interesting. The drama continues. Uh, so really cool to see. Just what, what happened as a result of what could have been perceived as a really hard day, um, ended up turning into a beautiful week for them. One of the things I do love, and I would encourage you to search for this as well, is, uh, there's some videos that were taken, uh, of the outside of Anthropics office in San Francisco. Did any of you see this, this commentary? But basically people came with chalk and wrote thank you, like little thank you notes all on the walkway into the Anthropics office. I get goosebumps just thinking about it. But so this person, like, on his way to work or was recording the whole thing and you see like, thank you for, you know, all the things. It was really, really sweet. So just nice.

I love that.

Like, that's a corporate vibe. It is possible. Some of you might be like, that would never happen in an XYZ company, but it's possible. It's possible to do good things. It's possible to make hard decisions that are the right decisions. Like, I just— I'm really excited for them and I'm glad to see, even if it's fleeting, I'm glad to see them see at least an immediate gratification of reward for doing something that I know a lot of people sat in a room and struggled with, uh, during the 72 hours that they had to make that decision. So, so good for them. Um, so that being said, let's move on. Uh, I went, of course, after I coded in Miami, I got a chance to come and do it with you all. So we did a 2-hour session where we just kind of talked about what we were building, got a chance to share what we were building with each other. That was really fun and really exciting. And then I also, of course, got inspired by the work that people in our community were doing. So I was like, I got to go build that. So I went and built out several different initiatives. One of the biggest challenges I have is I— it's not a lack of ideas, right? Like, I have so many ideas, and now I realize that my ability to get an idea into production is no longer a challenge for me. That used to be how I'd weed out my ideas is like, how hard would that be to do? How hard would it be to get that to market? Now I can get it to market in a day. So I'm like, now the problem is delivery excellence. And that is something I've always been very, um, you know, very focused on. And it's my specialty, right? It's why people come to me is like, not only do I have great ideas and offers that of what I wanna give, you know, the value I wanna give to the world, But how do you make sure you do that in a way that you can, you can see this in my AI Solution Architecture class, right? One of the laws in our 21 Laws of AI Solution Architecture is that we don't write checks we can't cash. We don't make promises we can't keep. We deliver with excellence on everything we say we can do. And that is a huge like differentiator in the marketplace right now. People are promising the world and they've never developed anything. So it is an easy way. And, and of course I'm getting the back end of that, which is good for me, I suppose. But people are coming to me being like, yeah, last year we invested in a person. They said they could help us. They built out a strategy. We're implementing that strategy. That person is now gone and that strategy isn't working. And that's the challenge of strategy, right? Is that it's not instantaneous unless you do it like I do. Um, but it's not instantaneous. So you get a 12-month roadmap you might not know for 12 months that what you're doing is flawed in the most significant way. And so that's why I'm a big believer of what y'all know, some of you who are OGs in the AI Leadership Institute, um, and some of you who have been around in our community. I'm firm believer in this concept of minimum remarkable product that you can take a 12-month roadmap, you can condense it into 4 weeks, 6 weeks, 8 weeks. You can deliver that one meaningful value-driven, metric-driven deliverable. Like you can in a short period of time test out your long-term strategy and you should. I always tell people you might sign a $800K contract to develop an AI transformation journey, but you're gonna be delivering on that $50K at a time. Like that's the new world is that we have the right as consumers, but also as a provider, it's my responsibility to show you results as soon as possible. And we now know based on the last, the data from the last few years, we can do that in as little as a week, is show results, right? Some of you saw the AI, um, employee challenge where I built 6 agents in like 22 minutes or something, right? Like, now again, that's not the end, it's the beginning, but it's immediately valuable. That's what I love. Like, some of us have gone on to start offering the, that agentic service to others, and I love it because in an 2-hour workshop I can do with a client, at the end they have 6 agents that they can play with now, right? Like, it's a— I always call it crawl, walk, run. Like, it's a crawl step. That's not how you're going to run and build out your entire transformation journey. But if you're a CEO, if you're a small business and you get 6 agents in 2 hours that are functional and you now can delegate to, and you start getting ideas about how much you're going to use the time you're given, The other metric that I realized I was creating when I started building agents, the other metric, which I am now like, why didn't I talk about this more before, was not that Agentic AI is gonna give your time back, which it will, but it actually is manufacturing time, right? It's creating the opportunity to do things you would never have done because you don't have time. And now I can do them and it doesn't impact my available hours as a human at all. Like it's all new hours I get to spend. So my agents, right, I have a dashboard that I created to track how much actual time I'm getting back. And now it's like 8, I don't know, 80, 90 hours a week. I don't have 90 hours a week. So I'm realizing, oh wait, it's actually doing things that I never would've been able to do. And that I think is a bit of a flex. Like that is the new opportunity is that those ideas you had, the innovation you wanted to do, the, you know, efficiency you wanted to build, you're not actually taking from the time you have right now. You're manufacturing time in order to deliver that. And that is pretty darn cool. So I'm excited for that. Um, I do want to give you a quick update on where I will be going. Of course, some of you know this.

If you're—

I think, uh, we can throw this link in the chat, but next weekend, not this weekend, but next weekend, the 20th, 19th, 20th, 21st. Um, I will be in, uh, Charleston, uh, delivering virtually, but in studio, um, a really cool build session. My session is actually on Saturday, but if you miss a little, you miss a lot. So we're gonna— I'm building on top of day one, so you can't just come for my session. We are gonna be building a brain in the early part of the Mindvalley Summit, and then I'm gonna be teaching you how to actually create agents to support that brain that you have built. So if you don't build the brain and you just come for my session, you'll be like, well, why can't I? I don't have that piece. So come. It's 4 hours over 3 days, 12 hours to change your life and generate time. So let's— I mean, and it's, it's fun and we'll get to do it together. If some of you have chosen to do VIP, I will see you on camera. We are in a studio that actually creates— it's a company called Obvio. I've been a customer of theirs for a long time. Uh, they are a virtual experience powerhouse. They, uh, I used them when they were just starting to go to market. Uh, but they have now been so successful that Tony Robbins uses them. Um, Dean Graziosi uses them, Russell Brunson uses them, and of course now Mindvalley, uh, uses them. So we'll be in their studio using their experience. So if nothing else, it's worth going through just to see what that kind of experience looks like and know that it's not. Like just for those people. It's literally, you can go buy a subscription to the exact same service, uh, if you choose to. I have access to the service. I don't, obviously, I have never been in the studio, so I'm excited for that. Um, but what it allows me to do is see all of the rooms on Zoom on a, on a screen, on a collection of screens. And then when I call somebody out from a room, it actually zooms in on them so I could talk to them. So it's really cool cuz there's gonna be about 150,000 people. And I don't know, maybe 30-40% will be in VIP. So if I see you, I'm going to be like, look who's here! Okay, I won't do that because I just saw that your faces— you're a little bit worried. Don't worry, I'm not gonna call you out, make you say anything or answer a hard question, but I will say hi and wave to you. I'll be so excited if I see your faces. But it is only for VIP. I think it's $47 right now, so it's not for everybody. But if you are in the If you can, I would love to see you there. It'll be really fun. And then we'll have a VIP Q&A session, um, where I get to talk to you all directly. But like I said, there's a lot of people. I mean, there'll be tens of thousands of people that'll be in VIP, so I might not see you, but I hope I will. I will definitely be looking out for you. Um, so that's coming up next week. On Monday, I will be, uh, in New York City for my birthday. Monday is my birthday. Uh, so I will be in New York City for my birthday. Sad news, I will not be watching Hamilton on my birthday because my birthday, which I have watched Hamilton on my birthday in previous years, but my birthday falls on a Monday this year and sadly that show does not perform on Mondays ever. So we are going in a little bit early and we're gonna watch it the day before my birthday. But either way, I am, the nice thing is, is that I have a client who needs me on the 17th, the day after my birthday. And that client is Make.com. So I'm super excited to be going and talking to Make.com and being able to share with them, of course, my SAFE, Responsible, and Profitable, uh, framework for building enterprise-scale AI systems. So I'm really excited to talk to them. They are huge. Make.com is literally the operational excellence, right? Like that is in their DNA. Uh, so I'm really excited to be able to lean into that a little bit more in my sessions there. And you'll all be able to see it cuz it'll be available on replay, but you won't get to see it until after they produce it. So. I'll definitely be letting you know when that happens. Um, let's see. Oh my gosh, and then some of you know— I'm gonna go get it. Hold on, hold that thought. I'm gonna get my box. All right, now this box, this box is very big for what it is. Um, it has some presents in it, so I'm gonna try not to let you see the presents. Or maybe I should. Do you think I should just show— if and just spoil— maybe they're not on the call and they won't know that I did it. But I have a couple people that have really, really helped me. And granted, I am paying them, but it's not like I've hired them and given them a new career. Like, it's a commission. They're salespeople for me. A lot of you have had conversations with them. And so I thought it would be really cool to get them something that not everyone can buy. It's a bit coveted, actually.

So Now I know Padme is on the call.

Oh, well, there you go. So it's for Padme and Sky and Sky. So I'm about to ruin the surprise. I was going to send this to them later, but, but it's in this box. So how can I not? And then you all get to see.

Noelle Russell.

Yeah.

Should I not see?

But for goodness sakes. Okay, there we go. All right, let's see. Oh my gosh. Do you all know how I feel about frustration-free packaging? Why, why do you have to make it so hard? Alright, here we go. Here we go. Alright. So in here, and now it'd be funny if the thing that I actually— this became a rabbit hole I went into when I went on the site. But the thing I really want, I hope it's in here. Anyway, so I don't wanna take it out of the plastic, but hopefully you could see it. So I got Custom Copilot. Oh, cute, right? Little hoodies. Noelle, I'm so excited. I know. So I got this hoodie last time, and both Sky and Padme were like, that's a nice hoodie. And I was like, I should have got them one because I went to Microsoft Ignite in December. And so when I saw them on the website and there were like 12 left, right, because they go like hotcakes. And so I bought them. So I got one for Sky, one for Padme. Oh, goodness. And here's the thing. This is what I went there for. So it's pretty small. Um, I'm hoping I got the right one, but it is to complement my beautiful MVP statue. So I'm gonna like tilt my camera a little bit so you can see.

Yay!

So when you're an MVP, every year they give you like these little things. And so I— this year is actually— yeah, it's so pretty! This year is actually my 5th year, so I get a special— I obviously don't do this for a living. There we go. Look, 5 years.

What?

That is so cool. So now I get to add 5 years to the stack.

Yay!

So I'm so excited. It's the little things, right? These little, little, like, little recognitions. But now when I look at it, I'm like, man, that's not— that's no joke. And I don't know if you know what we were all doing 5 years ago, but it was a bit of— it was a little COVID action. So, so really becoming an MVP, it gave me— becoming an MVP gave me something really cool to work on, to, to have a group of friends that we connected with online and to realize this is honestly how I built my business is I was like, there is so much content available online that Microsoft, Amazon, Google create that no one teaches. And all you have to do is learn it. It's all learnable. It's just, do you have the patience, um, the resilience to kind of battle through it? So for example, now I'm creating content, but this is like, um, hyper-personalized travel Copilot. I created a lab guide, right, to go through to build a hyper-personalized travel Copilot. So I wanted to go into Microsoft Copilot, But it started with me finding out that there was an instruction set for building custom Copilots, not just like the easy ones, right? Where it like goes to your email, like the really complex multi-service MCP kind of agents. And so I built out this tutorial and then of course once I did this, I was like, ooh, I think we could sell this. Not the Copilot, but the experience. As a matter of fact, Padmini shared with me the other day, she's like, One of my favorite things about our community, our AI Leadership Institute, is that we do live learning labs. Like we get online and we build stuff. And so that made me realize, I was like, I need to document all— I have so many of these that I've created, these like tutorials. I was like, I just need to put those in a file and be like, go at it everyone. Um, build away. Uh, because sometimes that's all it takes is that we don't know what to build or how to build it, right? We don't have like the step-by-step process. Um, now we have models that'll answer that call, right? If you know what you want, but I figured at least what I could do for you all, certain the ones in the AI Leadership Institute, is just share with you the tutorials I'm using to train the people that are, you know, hiring me to train them. And then that way you can customize it, make it your own, and go teach it. Speaking of teaching, the next thing I want to talk to you about is the end of the month. Someone, I think on this call, maybe on our AI leadership call, was nice enough to inform me that AI Literacy Day is actually on Friday, a day like today when we are already getting together. And it is a opportu— it's called AI Literacy Day. I think I might even say International AI Literacy Day, but I don't know if you know, I'm into AI literacy. I like, I like teaching other people. I think there's a two-pronged opportunity. One, I'm gonna be teaching a bootcamp. It's open source content, so I'm not like manufacturing it. It's, I'm gonna teach, it's a 3-hour bootcamp. It's hands-on. Hands-on. But for those of you who are interested, the day before, maybe, maybe even like the Tuesday before, I will be in Microsoft. So that was the other thing is that I'm going to Microsoft for the MVP Summit. It's a hyper-personalized, very special event that they invite MVPs to where we get to meet with the product teams. We get to meet with the leadership, we get to ask questions, they take our feedback. More importantly though, they give us access to new cool stuff that is not available to everyone yet for our feedback. And so there's a new subscription coming out that gives you new higher levels of access to AI system services. Anyways, it's all, it's all good. So that's happening. But the week of the, so I will be in Seattle, any Seattle people out there, from Monday to Thursday, and then Thursday I'll take a red-eye. Cause that's how I roll. Um, it's back home and then on Friday we're gonna do this. So I was thinking I'm gonna definitely be putting on the schedule. It's gonna be free. Anyone can come. It's in the spirit of AI literacy, but we're gonna walk through a bootcamp. It's an AI bootcamp, so it's meant to take any skill level and you'll build something. Hopefully you'll build something you haven't built before. So you can invite people, you can come yourself, but more importantly for those special people in right now who are thinking, I could probably do that. I'm going to do a train the trainer and then invite you to do your own. That means kind of today, maybe tomorrow, you need to commit to doing it. Like, set it up, put something on the calendar. It'll be fine if we're not together if you're teaching other people, or you could do a watch party and we could stream, but you facilitate, right? A room full of people. Mine's going to be live. Like, I'm going to partner with Miami Dade College, or I'm going to partner with FIU, or They always ask me to do stuff. I'm gonna be like, I found a reason to do something, uh, and we're gonna just do it live. But if you wanna do it live with me, or if you wanna run your own event, I can take care of sometimes the most intimidating part, which is what am I gonna teach? What am I gonna do? So I'm gonna share with you, um, a public repo that is available. It has great labs. They are tested. I've tested them. Um, and they're fun, really fun. So, uh, so if you're interested, you know, join the I Love AI community if you're not already in there. Uh, you'll see the post, let me know. And like I said, I will teach you exactly what to do and how to deliver it. Um, and you can go— well, not— I, I don't know, I think, um, I can't remember. I can't remember if you have it in the I Love AI, but in the AI Leadership Institute in the classroom, you could see the one we did last year, and it was really good. People loved it. We had like 4 labs. It was really, really exciting. I think it was a We did it all day though. It was like 10 to 4. That's a long time for Noelle Russell, um, to talk. So it was 10 to 4 with 4 labs. This time we're gonna do it in a 3-hour period and we're still gonna do 4 labs, but the labs will be a little bit like, it'll be incremental. So we could do one bigger thing than 4 tiny little hello world things. So I'm excited for it anyway. So that's the last announcement I have, um, is that last, uh, last Friday of the month during, and it'll actually be during our time together. So if you've already locked in your calendar for meeting with me here, like we're just gonna extend that time a little bit on the front end and a little on the back end. So if nothing else, just join us and you'll be able to, for 1 hour, you'll get to play the way we're playing. But I'm excited. Like, what are the odds that we get a Literacy Day on Friday, our day where we talk all about, um, artificial intelligence? Okay, before I go on to, uh, hearing from, so this is your moment, team inside this community, if you have a win or something you built that you're pretty proud of, or a question or anything like that, I'm about to open the floor before we go into breakouts. Great idea. Yeah. If you want to raise your hand, I'll go in order of in which they were raised. But I want to share with you a little bit about the trajectory that I'm seeing from a responsibility perspective. Of course, you all know that's, that's my vibe. I, I, I build and scale safe, responsible AI systems. Something that I'm seeing, there's a new term Um, which I will be, uh, addressing in the form of a workshop on Maven. Some of you know, some of you know me from Maven. We're gonna be building out this workshop for a Maven work, uh, class. It's intense. It'll be, it'll be hard. But how many of you have heard this term forward deployed engineer?

FDE?

Nope.

Okay. So it is the fastest growing role in companies. Um, and the reason why, and I should say in model providing companies, NVIDIA, Microsoft, Amazon, Anthropic, Meta, the concept is that you need someone, and really it is literally, it's AI solution architect. Um, honestly, but they, they, they couldn't use that term cuz I use that term. So they made up a new name, which is fine. But if you go to Anthropic, there are two types of people. There's a solution architect, which is not super technical, and some of you sit in that box a little bit better. Right? But there is a forward deployed engineer, which is an AI solution architect who actually knows how to create solutions, build them, implement them. Now, I don't know if you know, but the new world of building, especially in companies like Anthropic, is not necessarily do you know how to write the code, right? It's do you know the words to use to get a machine to write that code for you? And do you know what good code looks like? That's different, right? You might know, like, we can equate it to the days of like HTML. Right, and building websites, like eventually we, the, the concept of building websites became commoditized. You click a couple buttons and it generates for you. That's not the magic. What was, what I did a lot of is when somebody's like, my website's not working and the generator thing's not working and I don't know what to do, I needed to be able to read that content, right? Read the HTML, read the metadata, understand what it was doing and be able to fix what was broken. So, that is a bit of a difference, but forward deployed engineers mean AI engineers, people who know how to assemble AI services together that are forward deployed to the customer. So you end up being pre-sales and post-sales. You end up delivering, right? And creating a successful outcome for customers. I would encourage you, if you're interested at all in what this even sounds a little bit like, uh, I would encourage you to just go out to Anthropic and look at their open roles. They have half SAs, solution architects, and half FDEs. But it is the fastest growing role on LinkedIn, and it represents people who are selling AI systems, right? You, you can't just have someone who knows how to talk a good talk, which I mentioned at the beginning. That's starting to burn people, is getting someone who only knows how to talk about it. That's why here we are. We are doers, not talkers, right? We, we actually show, we don't tell. We are implementers. We actually build the thing. And so that is your differentiator. That is your superpower. And here's the best news. It is a learnable skill. Like there is nothing special about it. You do not need to have graduated in the top of your class. You do not need to have loved math growing up. You don't need to be a statistical, you know, analyst. Like none of you could be whoever you are right now and learn this skill. Is it hard? Probably. But we like hard things. Like hard things. That's where all the good stuff happens. Like, you know, what do they say? Fortune favors the brave, which means we have to do something hard, maybe something we've never done before. But in this gap, I mean, I'm just giving you a trend that I'm seeing that we are already doing, right? We're already talking about becoming an AI solution architect. But for those of you that wanna be like, oh, you know what? I could actually build more. I could be a little bit more architect product driven. I, These are the, the roles they're looking for. And just to give you a sense on the co— like how much they're paying people in this, uh, world, like for people with very little experience, it even says you do— I think they do this so that they get women to apply, but there's a big bold statement in these job descriptions that say you do not have to meet all the checkboxes. You do not need to meet all of the boxes. So important. You do not have to meet all the boxes. I mean, for goodness sakes, it's very hard to do that. They're looking for people who have aptitude, enthusiasm, and most importantly, know how to be empathetic to the problems of the customer and are willing to do whatever it takes to solve that problem. If that's not our world, like this community, I don't know who is. So I just want to encourage you to go down that little rabbit hole, go on a little mini quest, learn about what it takes to become an FTE. Know that we are building out a Maven course, which is a little different. It's not included in our Essentials, But of course our premium members, I'm gonna let y'all in, like sneak you in the back door. Uh, but it is, you know, it's on Maven. So Maven forces me to have a certain price point cuz I used to give my courses away for free. Oopsie. Um, so they don't let me do that anymore. Uh, but it's actually hugely valuable cuz the price point, you know, the salary range is like $220,000 to $345,000. Um, and that's to start. And that's usually without the conversation around compensation for delivered happy clients and signing bonuses and all of that. So don't forget, if you're in the process of getting a job, if you are interviewing, please reach out to me so I can tell you how to make more money on that effort. Uh, because there's money sitting on a table and you, it might be invisible to you if you don't know, uh, what to ask for, how to ask for it. So I've become. Quite good in my 7 companies, uh, at making sure I highly monetize the process of getting hired so that if something happens, and it might in the world of AI, right? They hire me to do one thing, 6 months later they're like, well, I'm not sure we need you to do that. You taught our models and our models are pretty good now, so you can go. I make sure that I built that system. Uh, my, my agreement with them compensates me very well for whatever time I spend. And so if you are having those conversations, Reach out. I'd love to tell you my secrets and maybe we'll, maybe we'll do a workshop on that one day. But FDE, like, I was like, this is who I was maybe 10 years ago. I think I'm a little too senior now, but like 10 years ago, that's exactly what— I didn't call it that. I called it solution architecture. But like, that's what I did is that the reason I was different than every other essay out there is that I could build what I was talking about in front of the client. And that made me so much more valuable, right? Because when the account team is selling, they usually have to first bring in the SA and the SA's like, here's what it could look like. And then they're like, great, can we get the person who actually could build it in the room? And then they have to go call the developer and bring the developer in, and then the developer has to call DevSecOps. And like, it's a bunch of people that are needed. And FDEs, we represent the highest matrix of skills. So is it hard? Yes. But here's the cool thing. It is super fun for the right person. Like, it's the best job I've ever had is being this kind of forward-deployed technical resource that can build stuff for fun on the fly to solve problems for my customers. I mean, I don't know, some of you know, like, that's what else I would do that all day. I would do it. I've done it for free. Like, it is my happy place. And so if that sounds like you, just know there is a role that has been created for you. And now here's the cool thing. So I don't— I am— have no intention of getting hired anywhere, but I was very curious about Anthropic's hiring process. So I went into their, like, I hit apply 'cause I wanted to be able to talk to you about it. So I went through the, the process. You should do this too. Like, go and investigate. They have an, an, um, attestation that they do. Um, and what that means is that there's like this AI confirmation that happens right before you start the application process. And it shares with you what you're allowed to use. Like, they're like, we expect you to use AI in this process. However, we are providing you guidelines on what we think is appropriate use and what we think is inappropriate use. And then they will tell you, and it is in their right to do so, 'cause they're like, we, we want to evaluate certain things that are coming from your brain and certain things that are gonna be complemented by Claude. But I really thought it was an interesting example 'cause for all of us consultants out there, That is something we should be educating our companies on. Like, are you creating attestations in the market about how you are using AI and how you expect your vendors, your employees, right? Like your contractors. Are you asking them to agree in a check mark that they know what you do and how you do it, and that there's an expectation that they uphold those policies as they work with you? I thought that was really cool. So before you even start talking, Like the very first question is, what do you love about it? Or why do you want to work for Anthropic? Right? The classic conversation, which a lot of people, if not given that attestation, would be like, Claude, based on what you know about me, why do I love Anthropic? But now it's going to say like, we want you to— we, we are looking for you to authentically answer this question and we don't want to see you generate a pretty answer with Claude. We want to know from you. And, and of course they were like, and we'll know the difference. Obviously, right? Because they made it. But then there are other opportunities. One of the things it tells you is, and I hope you all are doing this, if you are really passionate about getting a certain job, take the full job description and put it into a model of your choice and ask it to teach you how to do that job. Some of it you'll know because you check some of those boxes, but any gap, you literally can have it teach you the gap. I was like, that's brilliant. That's a great idea. I should do that all the time. So really, really cool trend I'm seeing in the marketplace. I just wanted to share with you because some of you are either, you know, either you're a consultant or an advisor and you have an opportunity to bring that process you see in the open to your clients and, you know, help them implement it, or you're in transition and you're debating on whether to start a company or to build, you know, your own, or go and get another role. And this might be a role that you're like, oh my gosh, dreams do come true. So really, really cool. Um, okay, so on that note, uh, thank you everyone, great, great comments. Um, um, let me make sure, uh, uh, oh yeah, oh my gosh, that would be amazing, Tara, that would be amazing. Uh, okay, let me see here, I'm just catching up on our chat as I go to the first person. I think it was Tara was first, so I'm gonna go to you, Tara, and then Dave, I would love for you to go next. So go ahead, Tara.

Thank you. Can I share my screen? Is that okay?

I think so, but I might have to open it up, so give me one second.

Sure. Yeah, so when I get ready to share it, you guys, I built my website before with— ah, here I am— share with another— I think with Gemini.. But Noelle Russell has inspired me. I worked all day Sunday last week. I also used Gemini for my logo. But what I did was ended up creating a whole bunch of assessments. My background is in adult education. And so I find that— no offense to any men that are on this call— I watch a lot of YouTube videos every single weekend to learn about different things with AI that are above and beyond what we're doing here. And they're always just tech bros and there's like no middle-aged woman who's empathetic and understanding teaching stuff. So I've been teaching myself a lot so that I can go—

Is that me? Of course. Is that me?

No, but I have like, I created all these different tools that people can go in and figure out where the opportunities are, like get them excited about AI so they can look by industry, by roles. Role type specifically in certain areas. Um, so that was a tool that Lovable let me build. Um, another tool it let me build was, um, for each of these I have like what's the workforce opportunity. Um, so you can look at all the different things and it'll—

Mission impact. I love that. I love that.

Mission impact. It has a calculator impact. So if I'm meeting with someone We can go in there and figure out what the roles are, their current size or whatever. It shows them how long they, uh, before they get the money back invested in training and what their, um, return on investment is. So these are things that I've thought of forever and to be able just to go back and forth. Now granted, I was a tech writer for many years, uh, a copywriter. So I'm prompting, just comes second nature to me. Yeah, to be able to do that is amazing. And I have several others. Ohio also, there's opportunities for schools, but they're not going to get a return on investment necessarily for schools. Ohio is mandated, which is where I live, to have a complete AI policy for every single district in the state by July. They don't have to have it implemented, but they have to have the policy dictated. So I used AI, of course, to do all the research. And now there's a district planning.

Wow.

Where they could talk about it and figure out, and it, it's several pages so they can prioritize their own AI. And then the other thing, um, I, I created simultaneous, and Noelle, again, this is for you. It's a school designed specifically for middle-aged people who are afraid of losing their job to AI, have lost their job to AI. And they don't know what the next step is. So maybe it's finding a job, maybe it's being an entrepreneur, maybe it's, you know, this is so cool. Yeah.

So wait, is this school? Like, can we join this?

Yes.

I mean, if I wanted to, if I was like your avatar.

Yes.

Yeah.

So yeah, it's for anybody that really just needs help. Like, I love it. Yeah. Yeah.

So I love the logo, by the way.

I love those little— I love the logo. It took me 100 tries. I kid you not with 100 different tools and nobody was getting what I wanted. Um, because I'm not a designer. I mean, I can't even draw a stick figure, but I finally was able to communicate the right way to, uh, Nano Banana 2. Nano Banana 2 didn't work and it nailed it. It nailed it. So anyway, I wanted to share what I was up to.

Oh my God, it's so good. Yeah, I hope you, uh, definitely go into the chat, see how much love people were sharing, uh, and, uh, supporting. It is very cool. And what I like about this is that you have created now the go-to, like the go-to-market motion is now in place, right? Where you can bring people in, uh, from an educational perspective and then provide them, like, uh, that was my first question is like, this is amazing. How are you gonna tell people that this exists? Like, I mean, I'm not sure that the people in the school are your ideal candidates for the policy stuff. Um, but like, yeah, that's totally separate.

It's two different audiences. Yeah.

Yeah.

Completely two different audiences. Sorry.

So I, yeah. No, no, that's okay. I just, I'm like very excited. Excited about this. And I just, this is one of the things that happens when we build this kind of technology, right? We build it and then, then what? Like, how do we get it in the hands of the people? How do we get attention for it? Right? So, I have a, a bit, a cycle. So this is a good segue to our next session, which is for AI Leadership Institute members. We're doing this on Saturday. Well, actually, it might be on, it might be on Friday, but Um, we're doing a session on Saturday, same Saturday as Mindvalley. That's why we have a little bit to, I have to think about it. Um, but it's an accelerated, uh, business, like how to build a consultancy. But the most important part about that is like once you have the idea, the very next thing you need to do before you build anything else is get attention for that idea and then start collecting, right? Conversations that you can have about it. And so that is the, the hard part. Oftentimes for me as an engineer or a developer, I skip that part and go right to like building out the solution cuz I'm good at that and I'm, I like that part. But the hard part and the most critical part is really building right, uh, for your people, which, which is like, how do you get just awareness? And that is what we're gonna focus on. Like how do you just start building out social media and content and, you know, sh— like you're doing now, you just shared it with a bunch of people who are gonna be like, wait, wait, wait, like me, I wanna be in there. Really cool. Great job, Tara. That is so amazing. Awesome. Well, Dave is here. Let's let Dave come on up, give us what you're working on or when or whatever you'd like to share.

Sure.

I actually didn't realize I could demo something, so I was actually scrambling to get the demo to work. Can I just do a little preview of what it is and then if I can get the demo and come back and show you?

Absolutely.

100%. Or you can demo next week if you want. It's always open.

I'm so close.

Uh, anyways, I just want to say my experience because, uh, I was so excited to do the Lovable thing, and I actually thought, well, uh, I was inspired by a lot of women like yourself who have actually been my leaders, coaches over the last little while. And so you were actually giving out one of our talks, and, and you, and you put a PDF into Lovable, and you did all of this. And I was like, oh, that's cool. And I saw what you did, and you did pretty simply.. And I was in another one where it was like this beautiful PDF, another, another, uh, women leader. She's amazing. And she, uh, had this great PDF and she had stuff that she wanted to fill out and then hand back in. And I was like, okay, well, I gotta, you know, as I'm doing this 90-minute course with her, I'm filling all this stuff out. And I'm like, oh, and then she wanted to submit it all back. So I thought, okay, how can we make something super easy so that people just send out a code in Zoom? And they just go in and then the form stuff is already there and the instructor can see everybody's responses in real time.

Oh my gosh, that's awesome. Like aggregate?

Yeah, aggregated. So it actually works. I actually was able to— I got up at midnight. It took me— I did spend about 2 or 3 hours beforehand prepping. So I took your advice, Socratic questions, go through that whole process. So I had a Google Doc which had all the initial prompts and I think I spent the first hour on Lovable and every single one was don't write code. It was just to get, and then we nailed the architecture and I had a login by an hour in. I was just like, okay, that's good. I had a dashboard too.

That's so awesome.

That worked for a few hours there. I spent the entire day, I used up every, I think I blew 160 credits that day.

That's what I find. I go in, I'm like, oh, that's a lot.

Then at 1:00 in the morning when it closed, I actually had seeded data working. It wasn't fully multi-tenant, but it was seeded data working. I was just like, all right. Of course, the next day I was exhausted. You used up credits, I used up credits. I bought credits on the next day. Now I actually have it multi-tenant. It can work real-time. It works great. I'd love to demo it. I just didn't realize that we could actually do that here.

No worries. Yeah, we'll tee you up for the next time or if you get it before we come back, like, you're welcome to do it. But yeah, you're welcome. We would love to see it. That's awesome.

So what was interesting though is that yet last night I was in that hardening mode. And so I've gotten now into this thing where it's like, do an analysis first, then I get— and I'm like the conductor between— well, I'm using ChatGPT and Lovable, and ChatGPT is actually giving me really great prompts that are much better than the Lovable prompts that it returns. Yesterday it was all backend to get the multi-tenant, to get the security, to get anything that scalability. But that's the thing, Lovable was so awesome to get everything going and you get a dopamine hit and you're like, oh my God, look at it, it's so cool. But then you're like, okay, to really make this workable, I got to do the work to nail it down so that it can actually scale, can be used across, and there's no data bleed or nothing like that. It's like most of yesterday's credits were just on fixing it. And so it's like, it's, it's like, oh, well, nothing's seen that way. Yeah.

Yeah, exactly.

Yeah.

And it's like, oh, it's like golf and a hole in one, right? Like you get a hole in one, like super early in the experience. And then, then you have like all of the other like rounds of golf that you play and you don't do well at all. Like you're just grinding it out. But that's where the rigor, the discipline, the operational excellence, that's why it does. It is a mindset thing that you're. Willing to commit that work because it's so easy. And that's what most people do. It's why 95% of AI pilots fail is 'cause people get that dopamine hit and they publish that thing and they've never asked the right question. Um, so we'd be very interested if you're open to sharing, like, you know, once you're done, you should definitely, which is something that Joe does, like documenting your journey, right? Almost like, yeah, like either—

I actually have been, I have a Google Doc open where I am dumping the code as I go. Because, and I've got a process where I've nailed it down to like, this is the type— if we're going to implement a new feature, what are we going to do first?

Yeah.

So I don't mind using up credits to make sure that we are not touching anything but this area. And then let's check to see if there's anything that's going to affect. So every feature now is more like incremental and much more rigorous. And then it makes testing actually a lot easier. And then I do— I mean, it's awesome that Git is connected and it is I was so impressed how it just iterates every little, every, every change. It's like, oh, this is great.

Yes.

Like, Lovable is amazing because you can get into the code. So some stuff I was like, I'm not wasting any credits. I can do this.

Yeah, yeah, exactly. As a matter of fact, Padmini says that all the time. She's like, that's the nice thing of having some technical skills is that you can decide, right? Like what you want to change. And with the two-way exchange between GitHub, like there are some things you're like, I got this one actually. I'll just go fix this.

It's not many, but there are some where I'm like, yeah, I got it.

Yeah. And then you get more— like, that's even more empowering though when you actually can do that. So really cool.

I'm going to share my process as I go, and I'm hoping I'll get a demo and I'll ping you back. Yes.

I mean, just be anytime. Like, when we're here, if you're here and you want to demo something, like, people— it's the thing we love. Like, at the end, I mean, I'm gracious. I'm grateful that people let me talk at nauseam about the things I care about. But really, the best part of these calls is when you all are willing to share what you do. So, so if you are willing to share, we are more than willing to see it.

Well, that's the thing about this. When you introduce me to Lovable, I, I'm a person that's like, how do I do this so I don't have to do this? And that's whenever I'm doing something that's so menial, so task— and, and again, filling out a PDF form, which is very useful for what I'm trying to do in course.

Yep.

And it's like, ah, it's a PDF. Where do I store it? Okay, I've got a file system. It's like, yes. And then it's like, oh, hand in your homework. Oh wait, this is— there's a better way of doing this.

Friction, 100%. And the benefit of that is that everyone who teaches classes, gets on stage, does workshops, like that becomes a huge, very specific market that you can go after. And that is like where, like, it's not like everybody, but it's very specific. People who do these types of classes all have this friction, this pain, and they wish it was easier, but the aggregation of data is where it's at, right? Because even if you automate it a little bit or create a separate PDF that just has the homework, you still have to go through 100 people's submissions. And I mean, this is why I don't do, like, the homework I do is video-based cuz I don't wanna read anything. I don't wanna read 100 people's submissions about their architecture. You know, I, I wanna see it. Live, but having the ability to aggregate that, like, data and the results, um, provide feedback, tie it to certification mapping, like, there's so many cool things that—

oh yeah, I have a lot of cool ideas that have come from just doing this because everybody does have different use cases, use cases for it. But it's—

it—

I was like, oh, this is, this is really cool.

Yeah, so when you're ready, let me know because I mean, I do this all the— I teach workshops all the time and I I end up not giving homework for exactly this reason, 'cause I'm like, it's too, there's too much friction in the process.

Well, the big thing is the real-time feedback, 'cause two problems, almost every course I go in, does somebody have the workbook? Oh yeah, you were supposed to get it.

No, I didn't.

Yeah, exactly.

I'll get my assistant to post it up online.

Exactly.

And it's like, ah, yeah, but there's a way we can do this with very little friction. And that was the whole point, was trying to get rid of the friction throughout the entire process.

Oh my gosh. That's exactly the right, the right attitude.

Amazing.

Well, thank you so much for sharing and we will definitely welcome you back for part 2, uh, and you can demo it for us. We would love to see it. Um, but I will say people are gonna be like, how do I sign up for that? So also be ready for that.

It's on school.

It's on your thing. I put, posted it a day ago.

Oh my gosh. Awesome. Amazing. All right.

Well, cool. It's there. It is there on school somewhere. Uh, it's called Workbook Live. That's, it's just my working title for it.

Yeah, for sure. I love it. It's amazing. I mean, and that's a very simple but very actionable name, so I love it. Sometimes we overthink these things. So really cool. Thank you so much for sharing. Amazing. Awesome. Did someone else want to share? Joe, you were at the top of my list, but anyone else want to?

I was just saying that I'm updating doc— funny you mentioned documentation. That's what I'm doing right now. Updating all my documentation for the architectural pivot that I made this week.

Oh my gosh, amazing. I love that. Tell us more, any new news on things you're building or features or evolution?

I'm keeping the— I'm really jazzed about digging down a little bit deeper into the architecture this week because I ran some tests and I wasn't happy with the results that I was getting in the synthetic data that I was creating with OpenAI API calls. The format and the shape of the data was not the quality that I expected. So I went back and I said, why is this? And I started asking questions and then redesigned that aspect of the architecture. It's, it's not a huge change, but it was enough to go back and say, okay, I need to go back and change my, my documentation.

So that's what I'm doing.

And are you still using the same tech stack for people who are here that I am using the same tech stack.

I'm using OpenAI pretty much exclusively. Sometimes I challenge with a different LLM. So like if I create something, if I do some research, I'll do that in OpenAI. Then I'll say, okay, take this research, put it over in Google and say, find problems with this, what this, what this just had and, and fill in the blanks, like fill in the gaps. So at least I've got it like challenged between two different models. That way I flush out like a better way forward.

Oh my gosh. Amazing. And are you able to share with us at all what you're working on yet, or do you want to wait to do that?

I am. Well, I did hear back from the US Patent Office this week. I expect probably within the next week or two, I will hear some kind of a release or release date.

Yep.

And I think there's a challenge period, maybe 30 days after that, and then I will be able to like share.

We can't wait. We definitely want to celebrate when you're able to, uh, to share it with everyone. So cool, that's awesome. Thanks for letting me dig a little in your work. Um, but really, really cool. Thank you so much. Um, Frank, you are up. How's it going?

Well, hello. I'm going— everything is going great. You know, I actually made like 28, 29 different apps on that day just because, you know, it was free. So I just kept doing it and doing it. And I followed all your, your, your promptings and everything about, you know, hey, what's the purpose? What's the, you know, persona and the problem you're solving? Everything. For every single app, I made that all up and I set it up and I did it. So I have like, I mean, I can't really, I guess, share it or because I'm on my phone, but I have like a whole bunch of different apps. Like it just—

I can see all your tabs.

Yeah, just a bunch of apps I just made and made. And then unfortunately, I'm a little cheap, so I basically downloaded everything into GitHub Yes. And so I'm gonna use my VS Code and Cloud Code and rebuild it and stuff. I even did one and it took 15 minutes. And I told like the AI Mastery people that it just takes 15 minutes. Just tell it, I wanna change it to, I wanna change it to be on my localhost and stuff. So, and so I just told them, you just need to download Cloud or, GitHub Desktop and, and do it. And so, uh, I think they, they're gonna start doing that. Actually, no, I think they also did what you did and started working on Lovable.

Yeah, yeah, especially that was, that was— you were, uh, I was very inspired by that because I was like, oh, that's what I should have done. I just should have built out the scaffolding. Yeah, all of the things. And then like, because that's the like the hard part is to kind of get the base built And then because I'm, you know, I have VS Code and I have GitHub Copilot, I could have just gone to GitHub Direct, but I didn't think about that. So I spent a lot of time on 3 or 4 as opposed to like building as many as I could. But next time, next time, if they do it again.

No, no, me too. Next time I'm going to, I'm going to build a lot more. But I planned this out and I did everything that you teach us. So I, it was well done. You know, it had the persona, the problems I'm solving and the solutions I'm providing. So Each of them have— has a solution. So again, thank you for having me with you guys.

Of course, it's so fun. So fun. I'm glad. And it— and even though, uh, yeah, you're on your phone, it was awesome to see. So thank you for sharing it with us because it's so cool. Thank you.

Amazing. You're welcome.

Thanks, Frank. It's so inspiring. Uh, all right, awesome. I think Don, you are next.

Okay, what's up everybody?

How's it going?

Um, it's cool to hear that everybody's, um, just enjoying practicing, playing with whatever. So I think I'm in the same, the same boat. I had a pretty, a pretty big blast just firing away, creating all these different ideas, and I thought it was super fun and probably perfect for my, my left brain. I was like, ooh, how about this? Okay, ooh, how about that? I fired off a bunch of different ideas, and then I'll go back and kind of chunk away at them. I am sort of curious though if anybody has— there is Oh man, I will have to go back. I just wanted to let you guys know I did find— I'm going to share something that I can't remember the name right now, but there's a spec creation tool. I think it's on GitHub someplace, but it helps you as far as it can save you some tokens. If you have a concept or an idea, there's basically a tool out there, and I'll, I'll, I'll find it. Sure. You share it, and it kind of helps sort of organize some of your, you know, some, some of your MD files to kind of, um, flesh out how you're going to build things. So, um, I don't know why I can't remember what it is right now.

Was that the one that Joe mentioned?

Oh, maybe, maybe I might have—

what was that tool that you did a session on? Not Colin, um, uh, uh, Joplin. Joplin. Thank you.

No, not Joplin. I have too many computers, so if I walk to the other one, I can— I'll probably pull it up.

But that's all right, you could let us know.

You can let us know.

But that's what I'm kind of curious. So one of the things I'm working on, and I'm wondering if anybody else has, um, sort of run into some trouble, is one of the things that I'm trying to do is to build a tool that can kind of navigate through websites and populate it with data. And so I've been using First, I was using Playwright and then I've broken into Playwright CLI, but neither one of them is really working the way I want. I'm curious if anybody else is having more success on this stuff.

Tell us a little bit more about your use case.

My use case is I have a number of different subscriptions. Let's just say, for example, Google Nano Banana, which actually works really well. This one works well. Where if I go in, you know, I might have an idea for a concept and it, you know, it's just not necessarily efficient to constantly open up the webpage, put all the text in. Whereas if I can get an LLM to populate the stuff for me, you know, come up with my concept, it just kind of pops it in and I can download an image. So I'm trying to do the same thing with different websites. And that's where ironically I'm having a little bit more trouble. So I'm curious if people are— you know, back in the day, if you were a tester, there used to be sort of test automation tools that would record all of your button steps and then you could execute, you know, whatever. Oh, I see the fingers kind of going like— so I think there's got to be something out there that's similar that I could, you know, just tell, uh, you know, Claude or, um, Antigravity, whoever, whatever, you know. Yes, to execute. So I was kind of curious if anybody else has been tooling around with that.

So I have to figure out if I remember it. Does anyone— if you have a suggestion, unmute and let, um, let Don know. Otherwise I'm gonna look this up really quick, uh, because I have been using it, um, and I love it. So originally I used a platform. Y'all know the sad story of Rewind and Limitless. Um, so Rewind, uh, was Limitless 1.0. Um, and I— and when it died, what Rewind allowed you to do was record everything you did on your computer. Um, and the challenge with it though is that there wasn't an easy way to capture that and reuse it like an LLM, which is what you're talking about. Now I found a replacement, um, and I, I'm trying to find it right now. Uh, do, do, do, do, do, do. Oh yeah, here it is. It's called ScreenPipe, and ScreenPipe comes— well, the pro version comes with, um, Opus, uh, 4.6, right? 4.4, 5. Anyway, yeah, I think 4.6. Anyway, comes with the latest version of Opus. So from Anthropic, meaning that you now get to ma— like identify use cases for the information that's been captured and use that. Now, there was another tool that I uncovered in my search for a Rewind replacement. So ScreenPipe is my— and it's open source. So technically you don't have to pay for it at all if you know how to stitch all the things together. I am a big supporter of open source, so I like to buy into their licensing. Even though technically it's free, but the also the reason why is because when you buy the license, you get support and you get to get your questions answered and stuff like that. So I grew up at Red Hat for those of you don't remember. Oh my God. Awesome. Um, so I grew up at Red Hat and, uh, so I, I'm a big believer in this kind of open source concept, but there was another one.

Oh yeah.

Guideless. It's a little different use case, but we're moving in the same, in the right direction. Guideless.ai. And basically it turns clicks into narrative guides. So again, not exactly, but moving in the right direction. But the most important thing is that this, this model was built to do this. So the alternative is that you will find use cases that have not been solved for, right? We call it the gap, right? Where it has not been commoditized in a big model yet. And it, so there's an opportunity to build something leveraging MCP, right? Like connecting these systems together., and actually solving for this problem, which is similar to kind of the friction solving that Dave did, um, that he just talked about, right? So, but these are two tools that I was trying to solve a similar problem. They didn't solve it exactly, but gave me actually really good tools to do part of the problem. Um, and then leveraging a tool, an act like a orchestration tool, N8n, to kind of stick 'em all together, or in my case, the new Copilot, right? So going into Copilot, creating a flow that actually connects these. But yeah, so if nothing else, I've sent you on two more mini quests of tools you can go try. So you're welcome. But Guideless is one, and it's relatively new, so I don't know how many of you are familiar with it, but I'll throw it in the chat. But I really like the idea because this is what I do, right? All day long, I'm like, click, click, click, click. I'm testing things out and What it's meant to do is it was built to allow me to provide, uh, SOP type documentation, right? So it's very cool. You should at least try it. I think you can do it for free. I, of course, invested in it. Um, but, uh, you do it for free, but it allows you to at least say it will be a narrative that it builds, right? So rather than it just saying, click, you clicked here, clicked here, clicked here, it adds the narrative based on the context of those clicks. So it's pretty cool. There's a video on their website. Let me throw it. I'm not in the chat, but let me throw it in the chat unless somebody was nice enough to do that. Oh, thanks, Sherilyn. This is guideless.ai. So pretty cool. Go ahead, Dave, if you have complimentary or information you want to share, or unless you're going to do your demo, then I will come back to you.

Oh, just, just, I just wanted to share this one thing. Sorry, Dave, didn't want to interrupt. I don't know if you guys saw, but it's the tool I was talking about. It's called OpenSpec. I just put it over here. Just so everybody knows.

Cool.

Yeah, absolutely. I'm gonna click on it anyway. Um, yeah, I don't know who Vishen is. I've never heard of them, but, uh, but I do like their documentation. It's pretty nice.

I don't know.

Anyway, but you said like, does this, this doesn't solve your problem though?

Oh no, no. This was just. To help in the development process if you're giving the LLM, am I talking, I don't know, whatever. If you're giving Claude, I'm just like smashing everything together, a concept, it helps you build a framework for the architecture.

Yes, and this is similar to what Joe has shared with us in the past about what he was doing early on in the process, but like spec-driven development is my, Like, that's my ethos, is that I like to start with requirements that turn into functional specifications and then ask a model to build to that spec. And, but those two things, like, that is my, my guardrails, my moat, like, what I want you to do, how I want you to do it, the ethos of my organization, the Responsible AI principles, like, all of that is in the, the definition of done, right? Like, so, yeah, I really, I really like this. GitHub repo, so it's awesome. So thank you for sharing that. That's really cool. And, uh, yeah, exactly. Yeah, so Joe's doing that work right now, so we love it. That's really cool. Um, awesome. Uh, but yeah, so that— those are the two things that I stumbled upon as I was searching for my own solution. But like, I was really, uh, happy with, uh, ScreenPipe for giving me a record— like a LLM-ready recording of work that I was doing and the ability to query that work at any time and extract out pieces of it. The thing that Rewind did that was so nice is that it pre-categorized everything I did in my day against like a predictive model. Like, this looks like a meeting, this looks like, you know, note-taking, this looks like engineering. Like it would bucket all of them and then apply certain patterns to those buckets. And it was really cool. ScreenPipe doesn't do all that yet, but it has access to an LLM, so I could just ask it. So pretty cool, pretty cool. All right, awesome. Nice. I'm trying to find my Zoom window. Anything else, Don, you want to ask or have a question about?

All right, you're good.

It's nice to see you.

I'll see you in April. Yes, thank you. Oh, uh, nasli, it was guideless, cuz I think, right? Guideless. I don't remember. Yeah, guideless. And the idea is that you don't need a guide, you just have to do your thing, which is me. I'm just gonna do it. And if you could just watch it, you'll learn how to do it. And that's the idea is that sometimes that doesn't work. You need a little bit of narrative to go along with your clicks. So that's where it came from. But yeah. Um, awesome. Okey dokey. All right, Dave, come on up. What would you like to, uh, to share? Are you ready?

Yeah, I'm ready. I got it. I found the windows because I was like, wasn't sure what state I was in. So I wanted to make sure I was open.

Oh my gosh, awesome. Yeah, I'm the same. Like, yeah, if I had to demo something, it would take me a second to orient to where I was on my desktop. Oh, no worries, Maurice. Thank you so much.

Share background.

Have a great weekend.

Share entire desktop. Let's try share entire desktop.

Did that work?

Oh my gosh. That's cool.

That means I fixed it. People used to only be able to share their window. Uh, shift.

I think that's the right window.

Wait, right.

We'll see it momentarily.

That I think is the right window.

All right, cool.

All right.

We'll let you know what we see. All right. I see Google. Oh yeah. Yeah. We see too.

No, we saw it's the wrong window.

Sorry, darn it. That's okay.

One window's right. This window's wrong. And what's the other window that's correct?

Oh, we can't see those. We only see the Workbook Live and Google.

Do you see that?

Uh-huh.

Your workshops.

Live feed. You should see your workshops.

Yep.

And then you should see Google.

Yep.

Okay, so imagine you're in, you have your workshop. So you have Workbooks and Workshops. So, I already set up a workshop. You get this all going and you go— people on Zoom, you can copy the link or the code and then paste it in, like, so you'd send it to people. It could be in the, in the browser link and it's already pre-populated. So your Zoom— everybody that's on Zoom can just basically fill this in and then they go, okay, I've already been set up as Grace, but actually I've allowed it so you can actually have multiple. So we'll start a new session. Start a new session and we'll put your name in. And so now in the workbook, I, we have an area for resources so you can put PDFs, PowerPoints, videos, links. They're all links. So whatever you want to put in from a documentation standpoint. And then as people fill out content, you can see that it's updating overall and you see you're moving up the chart.

Yeah, that's neat. It's also neat that you can hyper-personalize it. Like, that's really cool.

And so I can see as you—

Oh, what? There's a leaderboard? Oh, I'm all about that.

But I can see as we change, as you are changing things, I can see. And then the leaderboard, whoever's filled out the most is at the top of the leaderboard.

Uh, yes, I love it.

And then on top of that, you have the summary. So in real time, you can actually see everybody and how people are responding. So you can get a sense of, if people are understanding what you're doing in real time.

Oh my gosh, this is really cool. So what I'm thinking, of course, is about a Vibathon, right? Like being able to like track people going through a Vibathon activity and then leaderboards and then even making it so like the first 10 people or first 3 people that get, you know, like get through the whole process are the ones who get to present or something. So I love this. This is so cool.

Yeah, so it's, it's all design. Yeah, I, I'd love to do something like see all the different sort of ways that this could be used. Um, and the idea was low friction. You can see like you didn't have to put in to create an account, it, it, and you could always go back. So the next day you can go back, go to the join screen, it remembers you. But it remembers when I was— so if you're using the exact same browser on your computer, it remembers you securely. So there's no like, oh, I got to put in an email, I got to do this. I mean, yeah, the instructor has to do that, but the other person does not. So you can always continue where you left off. So I go back into Grace. So Grace is there. And as she's completing sections, you can see—

this is so cool. I love it. This is very neat.

All right.

So I want, I want to be a design partner so I can use it before you charge.

Yeah.

And there's Cachati.

I knew it.

There's confetti. I got the confetti.

Yes. If you complete it, you get confetti. I think you shared something with confetti and I was like, oh, I got to add confetti.

Yeah.

100%. I'm all about this. This is really, really cool.

When you have a template, when you have a, so you have an area here to build your workbook right now. I have another idea for how to build this even faster, but you have like text, rating, choice. So you can do things based on scales and stuff, and it auto-scales as it goes. It's not like you're stuck with things. Of course, you can duplicate it. But if you're going to reuse the thing, the great thing is you do one workshop one day, but you're using the same workshop. You go here and you go, oh, well, we're going to use the same workshop. Now we're in a different workshop, same workbook.

Yes, that's so cool. You can definitely monetize this puppy. I work with a lot of speakers, like I said, that do workshops for a living, consultants, I mean, the market is just really, really interesting. And you know, because you were in a class where you were like, man, yeah.

And I was frustrated because I was just like, I just want to put all the information and then I don't like— and then where is it?

100%. Oh my gosh, this is so cool. Um, yeah, we should think about this because I am going to be doing, um, and this is just like, we, we can like partner, but I will be doing, uh, Mindvalley, uh, Mastery, which is for people who kind of graduate from the summit and decide to invest in a 40-session, um, thing. But for my workshop, we could actually use this. And that's like, you know, I mean, that'll be a lot, but it'll be like 1,000 people. But I love the idea of the leaderboard. I love the transparency. Like, that could be really cool. We should, we should talk about it.

Let's go.

Yes. All right, let's talk about it, because I would love to, I'd love to have this tried out. So anybody, it's on Skool. It's in, in the I Love AI. So you can try it out. You can create your own account. Uh, there is an invite code, and, uh, you know, the invite code's pretty Straightforward.

I love it, it's so cool. Amazing, amazing. Thank you, Sherilyn. Sherilyn just threw it in the chat for everybody, but I'm glad you got a chance to show it because you're right, it brings it all to life.

It's like, oh my God, it's coming together, it's so good.

Oh my gosh, I'm such a fan, such a fan. Um, awesome, that was amazing.

I am—

yeah, really, really cool. So what we're gonna do, uh, in— of course, uh, I will Oh, there we go. Perfect. Let me see here. Oh dear, I just messed something up. There we go. So what we're going to do now in the last few minutes of our call is just get to know each other a little bit. We have a few, we have a few different robots in our audience, so I will try to make sure they're not in your room with you. But this is just a chance to meet some new people, hopefully people you've never been in. I randomize the meetings all the time, so just if you're in the room with the same people, just be like, the universe wants us to talk to each other. Um, so just embrace it and enjoy it. It's only a few minutes. So what I would encourage you to do is, of course, share who you are, what you do, and how you do it. Um, this is your chance to just share with somebody a little bit about the work that you're trying to do, who you're trying to serve. You never know, they— you might be talking to a potential business partner, client. Uh, more importantly, though, everyone knows people. So it's always good to let— and it's also good practice to just share what you know with other people. But more importantly, once you share who you are and what you do and how you do it, I want to also share either a win or a question, one or the other, right? Like something cool that's happened to you and that's going on and that you're like, oh my gosh, this is exciting, that maybe you don't want to send— say in front of everyone, or like a question that's keeping you from maybe doing something that you want to do. Because, uh, we have an incredible group of people here.

You'll—

we'll be sprinkling them in, uh, to our breakout sessions. We're just going to take about 10 minutes, um, so we'll only be a little bit over on our time, um, maybe 3 minutes. Uh, so I'm going to assign them automatically. Uh, if you can't join, that's okay, have a great weekend. But if you can join us, um, it's a great opportunity. And like I said, the people in these rooms, um, you know, we've done some amazing things. We've seen people do amazing things, build amazing things. Uh, and over the next few years, this small group, um, you know, you never know what they're going to be doing. So it's always nice to have some good friends. All right, so let me— oh, I did— oh no, I didn't. Um, oh, I only said one room. My bad. Cancel. Um, recreate. I think we need more than one room. There we go, there we go, there we go. That's better. Okay, cool. Um, I think we have some people that are in here twice, so hopefully that'll be okay. Uh, let's Let's see, robots. It'd be nice if there was some AI, you know, involved that would automatically organize the robots, but that's okay. I'll talk to Zoom. Um, move to the bot room. Move to the bot room. Oh, this room has a lot of note-takers. It was pretty close, but that means I have to remove some of you. Um, there we go. All right, let's see over here. I'm gonna move you to this room. Oh my goodness. I'm gonna move. Let's see. I'm gonna move you. I'm doing a little magic right now. Um, all right. So some of you have been intentionally placed, um, but everyone else has been random, just to be transparent about my process. All right. Are you ready? We're gonna take 10 minutes. So get to know each other. Uh, talk about your wins, ask for help. This is an amazing time to do that, and I'll see you on the other side. 10 minutes.

Ready?

Go. Click the button, take the blue pill. Have fun. Bye, Sherry. Bye, Ally. Hi, Mary. Oh, Mary, I didn't, um, assign you. Hold on, I will put you in a room. Are you ready? Okay, if you want, you don't have to, but there you go. Don't feel obligated. Alright everyone, if you are listening to this right now, it means you are not in our Zoom room, which is so sad. I hope you come and join us. We have so much fun building, talking, sharing, and learning. The best way to get into this room and many others in the AI Leadership Institute is by joining our free community, and it's super easy to do. You just have to go to my name, Noelle, N-O-E-L-L-E, .ai. You'll see a link to click on either joining our free community, which is where we have our calls every Friday, or you could join even our paid community. This is an opportunity to get a premium experience, fingers on keyboard, build something awesome. Right now we are in the middle of our Authority Cohort where we are doing the authority hat trick, which means we are getting 3 certifications. One in Amazon, uh, a basically AWS AI Practitioner. I just passed the Azure AI, uh, Fundamentals. And then the next certification we're going through is the Google Generative AI Leadership, uh, certification. So by the end of 3 months, you have all 3 certs. It's a pretty amazing experience. Is it a lot? Yes. But we do hard things. That's what we do. We do it with friends, we do it with love, and, uh, we are so excited to have a chance to share what we're doing with you every single Friday. So thanks for being here. If you wanna join us live, please don't hesitate. Just come on out. Uh, join us, noelle.ai, and we will see you soon. Thanks for being here.