International Women's Day Vibe-A- Thon

In the second half of the International Women’s Day Vibe‑A‑Thon livestream, Noelle Russell continues to weave personal stories, community building, and practical AI‑product guidance. She recounts a morning caring for her father with epilepsy, the moral dilemma of missing an event, and the impact of honoring a security officer’s request—using these anecdotes to illustrate personal responsibility and the ethos of Responsible AI. The conversation shifts to participants sharing their rapid‑prototype projects built with Lovable, Claude, and other LLM tools, ranging from beverage‑preference trackers to full‑stack web apps and AI‑driven workflow automations. The group debates the distinction between traditional mobile apps and responsive web‑apps/PWAs, emphasizing speed to market and user‑centric design. Noelle highlights the importance of building a “remarkable” product, focusing on a single end‑to‑end use case, and iterating with daily‑use trust. She proposes a community‑wide app directory, conference delegation sponsorships for women, and a shared “business directory” to showcase monetizable projects. Throughout, she stresses empathy, mentorship, and the need for women to support each other in tech, urging participants to claim their voice, book calls, and keep building. The session ends with a call to action: use free Lovable for practice, avoid attachment to the product over the problem, and continue building together.
Chapters
Oh yeah, there we go. We are live now. Yay for me. Um, okay. Welcome in, by the way. I do wanna give you a warm, wonderful welcome, and most importantly, happy International Women's Day. Happy Women's Day. This is a glorious, momentous occasion, not because we are taking one day to celebrate work that we do all the time, but the fact that we, I at least am very grateful that it fell on a Sunday as a day normally I devote to myself and my family. But a chance that I could actually not be working right now, right? Not have to carve it out of my professional life, but actually give myself a chance to really enjoy as a consumer, um, the beauty of this day. Now, I was going through— I had a really weird scare happened, uh, over the weekend. On Friday, uh, Meta closed down all of my accounts. Some of you might have noticed, some of you might not have, but all of my— like, every— I have 6, 7 Instagram accounts for all different reasons, um, and closed them all down. Now, the reason they closed them down was not nefarious. It was actually— I'm glad that they did it, but I was unaware. So I go to check my socials and I'm like, uh, and, and so the social— my, uh, when I go to log into Instagram, it's like, your account has been—
it sounds—
they didn't use the word banned, but I felt like I had been banned. Like, that was the vibe for sure. And I was like, What is going on? I, I searched my emails, couldn't figure it out. I did find out later that the ban actually came from Meta Oculus, and my children are using my account to leverage Oculus, which is not safe at all, right? Because to the world they look like me, which means it opens them up to vulnerable conversations with people who may not have great intentions. And Meta detected this type of behavior and playtime. Um, and so came back to me and said, one, you need to prove your age, and once you do prove your age, you need to identify explicitly who the children are on your devices. Now, while I appreciate this, not that we're going to go down this road, but maybe this will inspire some of you to build something that helps us with this. Um, but one of the challenges, of course, is that Meta, not too long ago, like 2 years ago, was fined, uh, something like $6 billion, which is just a drop in the buck of their revenue bucket, but $1.6 billion for violating children's trust laws in Ireland and in Europe. Um, and it never even was a blip on anybody's, like, press cycle. And so I took it seriously. I did go and create new, um, profiles for each one, which I think was the right thing to do because I can now control what they see. And rather than looking at my own mixed data, I can see what they're doing. But it also allowed me to choose or not choose whether or not their data gets, you know, whether or not Meta has access to their data. And of course, well, I won't lead the witness. I made my own decisions, but we should be very, very transparent with ourselves about the decisions we make with our data. And if we have children that are operating on these platforms, saying you can't use it is not really a viable, or at least in my opinion, not a very, uh, positive way to approach technology. So instead I just locked it down, right? So I applied a lot of the processes I do with my clients to my, my children, and I'm very proud of it. But I just thought that was interesting cuz it, we've been doing this, I don't know, 6 years has been the time that we've been in this, uh, scenario. And only this weekend did I get kind of shut down and told to manage it. So, so that was my, uh, kind of wake-up call though, because If y'all know, I do a lot of work on social media and my Instagram, Facebook, um, all my, uh, Oculus accounts, like everything was shut down and I had to think about my life. Like what if I didn't have 20, you know, 2,000 followers on Instagram anymore? And what if I had to start from scratch? And that led to kind of my She Builds moment today of like, not only, not only what do I do if I start from scratch, but like what does everybody do? Like everyone has this problem when they're first getting on social, and I thought it was a really unique problem to think about. Like, how do we make that easier for people to get what's already on their mind in, you know, in their heart, on their mind, they're already passionate about, but how do we help them get safely and responsibly promoting those ideas on social media in a way that they can be proud of and that their families can be proud of? So that is kind of where my direction went. Um, So that was V1. Then I went to this event and then I thought to myself, of course, you know me, I'm me, like many of you are constantly thinking about new ideas. And so, uh, another idea I was like, I really need to, and I've had two people say it to me, one from a sales perspective, one from a place of genuine interest and like concern, is that I have evolved my brand like Noelle Russell. And AI. I've evolved that brand over the last 12 years very organically, completely haphazardly. There is no company organizing what I'm doing. There is no single entity looking at all of my websites and making sure they're consistent and connected. There's nothing like that. I am just, I get an idea, I throw up a website. If I'm lucky, I remember to put some connection to me. Most, the only thing that connects all of them is something I know Renee does, which is the first thing we put on our website, is our privacy statement and terms and conditions. And that ties them all together. But sadly, most people don't ever read those. So, uh, though I ask them to, they don't. But that, that, that is one thing that's consistent on every property that's on the internet, is my company's ownership of our, you know, pri— data and privacy, as well as our, uh, terms of service. But other than that, like, it's a bit all over the place. And so that's where my my second lovable idea came from was like, what if I could build, which is what stops me from doing it now, right? The effort it takes to build a website that is as complex as my offer structure is, which it is complex. I have enterprise, I have business, B2B SaaS, I have, um, small business, and then I have professionals who are trying to become architects. And so every one of them comes to me for different reasons. And so it's very, that's why I have so many pages. Cuz when they go to AI Leadership Institute, actually now after doing this review, I realize nobody gets served really. Like it's a kind of a generic thing. But the future, especially with AI, is our ability to hyper-personalize these experiences, to go after exactly who we want with exactly what we offer. So that's, those were, these are the types of things that pop into my mind all the time, right? These ideas that just surface to the top. And what I told the women today at the event is something that I realized I learned at Amazon that has served me so well, which is becoming a builder, right? Becoming someone who takes their idea and begins to execute in a platform like Lovable. It's a little bit about your, well, it's a lot about like your clarity of thought and what you wanna do, but the most important ingredient to my success and the success I see across the members of our community. The number one ingredient is persistence, is the courage, the bravery, right? To just keep working at it until you get a solution. And what I think Lovable has offered me is the ability to work on that solution with or without human support. And as a woman, and I'm just gonna say this on International Women's Day, I've not always been supported. As a matter of fact, I feel like I was almost never supported, um, in the roles that I've had in my career, right? Like, there was always someone telling me I couldn't do that thing. I wasn't smart enough, big enough, had enough, whatever. Like there was always a reason that that person felt I wasn't the one to build the solution I wanted to build. And what I like about the vibe that I get inside Lovable and especially in She Builds Lovable is that I actually, maybe I invite people like you all to my conversation. Maybe I invite you to give me feedback. But maybe, um, I learned this from a metaphysician. His name is Charles Fillmore. He started— he founded a, uh, multi- or non-denominational Christian faith called Unity, and I was raised in it. And he would say, and I didn't understand it, but it became a core belief of mine, that when you're like building something, it's kind of like boiling water. And that if you are boiling water, like let's say you're doing it in a saucepan, it's got a sauce, you know, a cover on top of it, and you're watching the little bubbles come up, the second you open it and look at it and check it, you lose a ton of energy that was just about to come to a boil. And so what he would say is that it's so important not to lift the lid too soon. And what I, what I have correlated that to mean in my career is many times I have an idea and if I said it, if I lifted the lid too soon, a bunch of my energy, excitement, enthusiasm, and, and motivation would get seeped out into people that may or may not support what I'm doing regardless. Like most of the time it would be some reason why it's not gonna work through their limited view of the world. And so what Lovable allows me to do is build out quite a bit of it without lifting the lid, right? Like allow me to keep that lid in place, let the thing come to a full boil, even monetization, which I'm gonna encourage you to do today. But get me all the way to monetization before I tell anyone about it. Everything I do in AI Leadership Institute, I often do in private before I do it in public. And, but I couldn't do it all before. Before I would be like, well, I'm not an expert in ads, so I need to call someone to help me with that. Or I'm not an expert in building marketing content, so I need someone to help me with that. So that what that is basically, you know, my journey has been, are you brave enough to just keep going? And what are those things that often keep you from going? And sometimes it's the very people we trust with our ideas, maybe, or too early in the process or at any time in the process. So now that's not true for all of you. Maybe you have incredibly supportive networks and I am so happy for you that you have that. But from my personal experience, I have found that sometimes when I tell someone my idea too early, they kind of say, Noelle Russell Russell, it's another one of your crazy ideas. You get these ideas all the time. We'll see what happens. When actually I'm really serious about it. And so that lesson I learned from, uh, Charles Fillmore around like, just let it come to a boil kind of all on your own. Like see what you can build before you lift the lid, before you show other people. And that's what I think is beautiful about this technology we have today is that we can see our idea come into fruition, become executable, and not necessarily have to tell the whole world about it right away. Now you might want to, and I encourage you to, community is beautiful. You all know that. I love working together. Um, but I also think there's some, uh, ideas or maybe a great way to get started on any idea is to just build it to a little bit of a boil before you, before you actually start talking to, to people about it. Cuz I, like I said, I, I just don't want the world to influence and ex— I just, oh, I'll just give you a quick example before we go on. Um, I had an incredible conversation with a, um, uh, a consultant, author, um, advisor. And she told me, she was like, when you started, I did my little keynote, right? And she, she pulled me aside and she said, you know what? Um, I have a story I tell about my early days at Amazon Alexa and how I wanted to build for Alexa in the, like, 20, early 2014, right before the product even launched. I wanted to build mindfulness, uh, kindness, uh, random acts of kindness, uh, positive prayer, daily affirmation. These were the skills I wanted to build. And everyone around me, as I was like, oh my gosh, you know what we should build, guys? We should build daily affirmations. And they'd be like, what? Like, who needs daily affirmations? Like, who needs mindfulness in the kitchen? Like, this— I mean, you could build it, but no one will use it. And they They spoke to me as if it was fact. No one will ever use that when really it was just their opinion cuz we had never done this before. And so I built anyway in front of them and built it whether they liked it or not. And they became extremely popular, of course. And the biggest part of that popularity came because not necessarily I realized it at the time, but the truth was if I needed it, cared about it, was interested in that capability, that statistically there's probably 50, 100, 200,000 people on the planet that will like that same thing. Just statistically, the odds are that you will have commonality in the crazy idea you have will not be crazy to about 100,000 people. And that, by the way, is plenty to build a $10 million business on, right? So there is a very, um, explicit, like, intentionality that comes when you, you know, like me, I, I let them know right away, this is what I wanna build. They gave me immediate feedback. I don't think you should do that. And I really had to become very self-reflective about what do I want to do and who do I wanna do it for? And am I willing to build in this resistance anyway? What I do now is I build it first. I, now some of you know, in our AI Solution Architecture class, I'm like, I get receipts. I go and I find clients that need the thing I'm building and I get them to use it and I get them to like tell me that they love it. And if they don't, I fix it. But they tell me that they love it. And now I start talking about it because it's not just Noelle built a cool thing, it's Noelle built a cool thing and here are 5 people that also think it's cool. And now of course I have hundreds, thousands of people who have said what I do is cool. But, but it's not, it doesn't just, it's not just me lifting the, the lid right on. Boiling water. Like, this is me now. It's my go-to-market strategy. So today, my hope is that you will— I call it bringing back the backlog— that you will go back to the backlog of things that you've always wanted to do, always wanted to build, and you will create a little tiny portion of that. Some of you, as I heard, you're already building. When you build, this is another characteristic of our AI Solution Architect program, is that we wanna really be very thoughtful about what we build, especially in a world of unlimited Uh, unlimited credits today, not unlimited credits at midnight tonight. So we don't want to get too— I mean, use them up, but also you wanna be careful about the habits that you build because tomorrow this won't be the case. So I want to encourage you to use a philosophy I have come to know and love called Minimum Remarkable Product. Fun fact, I was reminded recently that I actually used to say Minimum Lovable Product in 2014, '15, and '16. If you look at my YouTube videos, I called it Minimum Lovable Product. And in 2020, like 20, during COVID I changed it to Remarkable. And that's because lovable was being taken and used by another entity. And I found out today it was Lovable. So I thought that was very interesting, like circle of events. Um, and rightfully so, like it totally. Is a minimum lovable product that we're building. But I wanna reinforce that for those of you who have taken my programs before and know what minimum remarkable products look like. Minimum lovable products are the exact same thing that we don't build at all today. We build the smallest, like, clickable version of what our vision is, enough to demonstrate to someone that they can click through it, have a real experience. It is not viable. We're not building for viability. Anyone could do that. Today we're building with a knowledge of what the person we're building for wants, needs, and our ability to clearly articulate that to a machine. Now, my guidance to you today, when you're using Lovable, there are a couple different options. I wouldn't normally advise this except we got free credits. So there's that. Um, so the first thing I would advise is that you use planner mode inside of Lovable. This is your opportunity to connect with Claude. And Claude will guide you. Like, I'm testing it out right now. I gave it a massive plan, like a massive amount of stuff. I have 15 different landing pages and websites. I wanna create a centralized, right, what we call a funnel hub. I wanna create a single page that engages the right people at the right time with the right message. So I gave it quite a bit of work to do. We're gonna see how it handles it. But Planner allows you to build the plan, iterate on the plan without churning through credits, uh, on— in, in Lovable to build something. Now, the reason I like— I'm talking about Planner now is because it's available, it's free. You should use it, do that practice with that. What I do alternatively is I use a different LLM, a cheaper LLM, to churn through my planning cycles. And then up until today, because now I'm using Planner and I love it, but up until today I would use another, like, a favorite LLM of mine Claude even to like build out my plan. And then I would ask it to build me a Lovable prompt that becomes my V0, right? The zero version, um, of my Lovable application. And that way I'm not doing and churning through a bunch of credits asking questions inside an app, especially if I'm still doing a bit of discovery. But today I'm gonna encourage you to do that discovery right inside of Lovable through the, um, through the planner activity, which is right inside the console. Now we've had a bunch of questions, which I'm going to pull up in case you dropped them in the chat. But there are a few questions, sadly, which makes sense. This has been a very successful campaign for Lovable, meaning lots of people are building today, which I'm really happy for them. Lovable is leveraging Claude, Anthropic, like it's a big fun, lovable day. I'm very excited. However, that means that there were only certain number of, um, credits, certain number of, uh, what did they call them, benefits that you got when you were coding. And some of you got up early and got those, but those credits exhausted. And the same will happen on Stripe as well, uh, presuming people get that far. Um, but so if you go and it's like this You know, I don't know if any of you have seen this, but if you go to Lovable and you're like, oh, what, 100, you know, Anthropic credits, I want that, you click on it, or you can't even click on it because it just says author— what does it say? Offer is— it's— I should go to the website and look. Um, let me see if I can find it. It's like offer is exceeded or something like— oh, there it is, there it is, there it is, right? Offer fully redeemed. And that's not because you like Noelle Russell redeemed it, it's because they had a certain number of those $100 slots and they are all full. And that is a little bit sad, but it doesn't change anything about what you can build today. So I'm going to encourage you to keep building anyway. Um, but the $250, uh, in credits on Stripe, that's like legit money. You sell something, you're going to pay a percentage of it to Stripe if you use this platform. Um, so getting $250 back is not a small thing, so I would encourage you to do that as well. Uh, but I just wanted to clear up a little bit of confusion, um, because people were like, wait, how would I have redeemed this? How is this even possible? There's no way I would have redeemed $100. That's not really you. That's telling you that, um, the Anthropic and Stripe relationship had created a certain number of credits to distribute, and all of those have been exhausted. So If I had known, I would have gotten us up at, you know, 1:00 this morning and gotten us all credits. But it is what it is. So needless to say, next year they'll probably give us more or they'll either shrink the number we can claim and make more people, or hopefully they'll just give us more credits for more people to consume. But I also think the success of this SheBuilds platform today and getting credits free for the day caught them a little bit by surprise how successful it actually was. Awesome. Let's see here. Yeah, yeah, it would have been recently, like in the last 3 hours. I don't know if anyone right now can go. It might also be geographic. So yeah, it might also be geographic. Yeah, so it just depends. But I went in and, and I confirmed this today with our SheBuilds people when I was at the Miami event. But yeah, so I just didn't want you to think you did something wrong or that you redeemed them and you didn't even know it. I just felt like there was a little confusion there. Yeah. So, so good to know. Good to know. But, but yeah, Stripe is good. You do have to fill out. Yeah. So good question, Carol, or clarification. Stripe, the Stripe credits are based on Stripe's entrepreneurial program. So you do have to submit your application to, you know, basically Stripe for startups. But along those lines, I would highly encourage you to make a list right now. To sign up for all the things Microsoft has. AI, Microsoft AI for Startups. I am one of their experts that you get time with me for free as part of that program. AWS has AWS, uh, for Startups that includes, uh, Bedrock credits. Um, so like all of these are available to you. Um, Google of course has their startup program. So all of them, which maybe is what you work on with lovable today, right, is defining like what you're doing and what business you're running and how that business is defined and how can you build a, a platform or maybe a dashboard for you as the founder to manage all of these things. But it's extremely powerful. One of the things that I do is I'm a member of the FoundersCard. Any of you FoundersCard people? So FoundersCard gives you like $5,000 in credits on AWS. $2,000 in credits on Airtable. There's a bunch. HP, a bunch. I mean, there's like 40 services that you get access to. Um, but you have to pay for it. So I don't, I won't, I don't know what their current pricing is. Um, but you have to pay to be part of that and get those benefits. But these are things as a founder you wanna think about what is the best economical way to get access to these services. Um, so today my hope is that you will do what we teach at the AI Leadership Institute and in I Love AI, that you will start with the problem that you want to solve. And it doesn't really matter what it is. That's why it's lovable. That's why, you know, we're, we're, we're building today. Start with the problem and then spend a little time in an LLM of your choice or in Planner trying to figure out how is the best way. Socratic prompting, right? Ask questions about what's the best way to solve this problem for this unique audience. So if you don't have unique audience, that's where you should start. Spend a little bit of time thinking about who am I serving? This is why in all of our meetings, when I don't run over, um, in all of our meetings, like 98% of them, when we break out, that's what I ask you to do is to say your I help statement, right? I help this specific audience, uh, do this very important dream outcome that they have with this unique value proposition that I offer, right? That's the sentence every one of you should be— I hope every one of you will take time to document what that looks like because that becomes the underpinning, right? The logic that these models will use to create your MRP, right? Who are you? Who are you serving? How are you serving them? So that needs to be clearly articulated before you go much further. Now, granted, I don't wanna steal your Build vibes.. So if you just wanna build something and not be too thoughtful about it, that's okay. But realize you are— every one of us, we are building baby tigers here, right? So we— I have an analogy that I use. We build baby tigers, which is not bad. It's a necessary step we take on building production AI. But that baby tiger mode, right? It means that you are building an AI system that will get bigger, that will collect data, that will, you know, generate answers. And the most important things you need to be worried about on day 2, not day 1, cuz we're just like, isn't it cool? Look, mom, look what I built. This is amazing. Put it on YouTube. As soon as you want to use that for a per— like as a product, meaning productization, monetization, 3 things need to become the top of mind. One, security. How secure is that solution? Not just from an access perspective, but also how is it managing the data that it's using, right? That just how to secure this opens up a, I don't know, 40 questions you should be asking about your business. The second thing is accuracy. How are you gonna make sure this model is not using its training data, the internet, to give you your answers? This is where we, in our 5 Ps of prompt engineering, right? We, we go in and we say, what is the portfolio of data that I want you to use? Retrieval augmented generation for those of us that are a little bit more technical and building AI solution architectures. But for everyone else who's just building, it means that we just need to give it some guidance on what the right dataset is. Doesn't have to be a full dataset, doesn't need to be 10,000 records. It just needs to be, here's a couple examples of what good looks like. Here's a couple examples of what bad looks like. This will inadvertently create guardrails, right? A moat in which it will work. Good and bad. It will protect you from unexpected outcomes. And then the final one, which is the— I don't know, I, I think it's beautiful and sad all at the same time, is that no matter what you do, what you build, no matter how good it is and how, how it serves people, if you do not build it in a way that is trustworthy, people won't use it. You only get one shot at this. Jeff Bezos taught me many, many, many times. He would say to our entire team, It, it, it takes a split second to lose trust and a decade, a decade to rebuild it. And in the age of AI, you don't have, you, you won't, you won't get that chance back, right? They will just go to the next person who does that, or they will go to AI and be like, can you just do this for me? And if we're not far from a world where that's true, but here's what I have found in my experience is that most people wanna go to humans first. Most people wanna know from a human, like Warren Buffett, if you can imagine, right? Warren Buffett. I don't see a day where he's like, hey, you human who's been managing my finances in my family office for 40 years, I'm gonna not use you and use AI for that. Like he, there's a reason that this person who knows the ins and outs of all of his finances, like is his person. There's a reason that that relationship exists and that it's been in place for so long. So AI might help that person. That's why I always call it help the helper. Like AI might help that person do their job better, but Warren Buffett's gonna wanna call someone and be like, yo, what, what's up? Uh, Jeff Bezos called it a single-threaded ownership model. Um, I've heard CEOs at Microsoft and Red Hat call it a single throat to choke. I hate that term, but that's like, they wanna know that there's a human, like a throat to choke is a human thing. I wanna know who's accountable for this. So this is something I'm gonna encourage you. It's outside the bounds of just building today, but I really want you to think about as you build your minimum remarkable product, how are you managing accountability as it scales, right? So those are the 3 aspects that I want you to think about towards the end of your build session. One, how are you going to secure this? Two, how are you gonna make sure it's accurate? Doesn't lie, has the right grounding. And 3, how do you preserve accountability for this system so that at the end of the day, there's a human that is controlling the experience, a human in the loop or on the loop that is making decisions about, yes, you're doing a good job, no, you missed the mark, but here I'm educating you as an AI system. And that has to happen all the time. Model drift is incremental and exponential. It doesn't stop because you stopped it. Like it is constant. So having you or a team or even AI that you monitor do that kind of incremental monitoring for security, accuracy, and trust, that's what's gonna allow you to go from idea to productization to monetization if that's your goal. Some of us are building stuff to just make our lives easier, to let us take the day off on Friday, and I'm all for that. But I also believe that some of you have ideas that are, are ready to change the world. And if you think about it in this way, when it's ready to change the world, when you've built it to that level, it won't fail you, right? It won't be like, oh my gosh, I created an attack surface that I never thought about. Oh no, I didn't ground it in the right way, so it lied to the very people I'm trying to help and now they won't let me help them anymore. Like that is the disaster of current AI solutions is that we build it and it's amazing. We don't ask these questions. We give it to the person and it fails them. And then it's not that they just give up on like, oh, Noelle, sucks that that didn't work out. I'll just go find someone else. They give like their, their arms go from like, oh, AI's so cool to like, oh no, I knew, I knew this would ha— I knew AI was like, I knew it was gonna break. I knew it couldn't be trusted. And now they will become part of the divide. They will not grow, others will. They will not scale, others will. And so we have a huge responsibility as baby tiger wranglers to build AI safely and securely from the jump today, from the build, as opposed to waiting until it becomes successful to start thinking about those things. So hopefully you've, uh, in, in, uh, hopefully you've enjoyed my rant today on She Builds AI. But, uh, but now I would love to, re-open the floor and talk about some of the things either that, uh, you're building, if you wanna just share, but also, oops, sorry, but also think about how you might be able to maybe share some of the challenges that you're running into. Cuz here's what I learned today, and I was not the only presenter. I was one of two keynote, like keynote minute, uh, TED Talker kind of people. But as people ask questions, a bunch of people chimed in with answers, like, here's how I did it, and here's— oh my gosh, that happened to me. And I was— I personally was like, this is what I want to do. I want to be in person with people so you get this like organic, cool helping each other out, like in the middle of the thought, so that you can keep going. It's a little harder virtually, uh, but that's the idea. So if you, you know, hit a point where you're stuck, and if you're actually stuck, ask for help. You know, we have 40 people here that are all on wide ranges of expertise in this space with this tool. We're all here to help you. This is free, right? We're not here to get paid. We're not here to sell you. If someone tries to sell you Forex in a DM, like, you just ban them. Like, that is not what we are about here. Um, but we are about helping each other and using the time that we have. And, and of course we're only gonna be here for like another hour and a half or so, but I'm gonna encourage you to keep building. And we have inside of our I Love AI community, you have the community, you can ask questions. There's a bunch of us that are just constantly monitoring those questions and providing answers. So this is only the beginning. This is not where it ends. This is where it starts. But I definitely would love to, to hear some comments. So Tara, who was nice enough to get us going this morning, I mean afternoon anyway, at, at the beginning of this session, go ahead and chime in.
Always. And I just realized that's my mom. My mom always did that. I just did my mom. You mentioned the planner, um, in Within Lovable, and I, I didn't even notice that. But knowing how you work, I could see you— and you mentioned the landing pages— I was picturing you creating several announcements with matching landing pages that go over the next few months with the different things that you're involved in. I would love to know how that was set up, how it works.
Yes. Um, so let me go in. I just wanted to show it to you first. Oh yeah, I see what happened. Um, let me go here to this one, and I'm trying to see what I'm showing you. Uh, is that gonna go away? No, I don't want it to go away. No, come back.
Where'd it go?
No, come back. Um, come back. Okay, here we go.
There we go.
Uh, all right, so here I'm going to take you into the project. So I just want to show you what I'm talking about, everyone. Um, so one, you'll see— what, Frida? 1 AM for me?
What?
Oh my gosh, it's happening, people! So I'm here, I'm here for it. Um, you know, I told my kids, I was like, it's like Mother's Day. Today is like Mother's Day. It's the same, just slightly different, maybe less. You didn't have to buy me anything, you have to make me anything, But it's kind of the same as Mother's Day where I'm gonna take time for me and just build some stuff I've always wanted to build. And so I have till 1:00 AM. So this is exciting, except some of y'all know I was up till 5:30 this morning with my daughter at Girl Scouts at Mall Madness.
Oh yeah.
Yeah.
It's okay though. It's fine. And then I might have had, you know, I might have had an idea to like have some rosé for dinner. So I was like, I'm gonna do— now I'm like, 1:00, that's not happening now. I need my full brain power, um, included. So, Here is where you can see it. Uh, it's way down here though. Um, so a couple things. I'm glad we're here. Uh, so when— I don't know if I'm in this mode right now. That is so cool. I'm very, very glad for it. Um, but there is a couple of changes that have been made to Lovable in the last few weeks that you might not be aware of. One of them is visual edits. So this is another one you're looking right now at, uh, one of the platforms that I built. Again, one of the many landing pages that I am supporting. And if I click on visual edits, what you'll notice is, of course, it, it's now going to reformat the content in a way that allows me to capture visual elements on the page. Now, Padmini Soni, one of our coaches in the community, she would always be like, just learn to code a little bit because then it's cheaper credit-wise for you to go in and make these changes, right? If you knew how to read HTML, you could just jump in there and change it. But now they add— so as a result of that feedback, right? As a result of them being like, wait, we actually don't wanna necessarily make you go learn how to code. They added, um, and it was good advice, by the way. I do think you should learn how to code. I don't, I think that's good advice, but they added this capability out of that complaint, right? Where we were like, what if I don't wanna do that? Now, many of you may have experienced this, but for those of you who haven't, when you are vibe coding and you say, hey, so where you mention active clients, which I'm— Noelle Russell is looking at this page and this very specific element. And you'll notice when I click on it, notice what it does. It gives me the text, the color, right? The background color, the margin, the padding, the spacing. So I can now narrowly focus. Before this, when I would be like, hey, can you adjust active clients to be blue? Everywhere I had active clients would turn blue. Or worse, the one active clients section that I called that I'm not looking at turns blue and this one doesn't. And I'll be like, why? You're not making the change. And it will tell me, no, I did make the change. I'm like, you didn't. I'm looking at it. And the reason why is because obviously I was in a div, if you know a little bit about web development, right? I'm in a div, it's not in. And so it's coming from a different frame of reference. So this is awesome, I think. So I just wanna encourage you, This is part of, of the, uh, the cool usefulness that you should play around with today. So if you don't like something, don't like a color, right? You don't have to do that. This, right? I'm now in the div. Now it says, um, maybe I wanna change the, what is it called? Favicon, right? Um, maybe I wanna change the color. Maybe I wanna change the font or the size. Like I have just much tighter control and the algorithm they are using to price out Token usage, which maps to credit usage. I don't know if you've noticed this, but it's not 1 to 1. It's not 1 credit to 1 action, no matter how big or small. It's actually correlated. Like, they're looking at what you're doing and how much you're doing and how many tokens you're consuming, and they are correlating that to a credit. So that number changes dynamically. So another thing I often will do not every day, cuz it's like watching the stock market and I don't wanna know sometimes, but often I will go in and I will just look at the project settings. And when you go into the settings, you can see how many credits you've used, how many messages you've had, right? So you can start to see this correlation, right? I sent 2 messages and consumed 5 credits. So some who don't know better would think, it's one-to-one, right? Like I send a prompt and a credit is consumed. Not if it's a Noelle prompt or a Renee prompt, right? Or some of us, right? Like our prompts are like, good, like they're very well thought out, have multiple steps, include a database and, you know, foreign key relationships or whatever. So, so yeah, so it's, I think it's useful in educating yourself on the algorithm is just coming here every so often, look at the AI credits used. And the, uh, total credits used because AI credits are different right now. We're talking about, right, planning credits and, um, AI generation credits. So you'll see this overview will get broken out more and more detail over time. That's part of what the product team is working on. Um, but this is still good to give you a sense of like, oh wait, I only, I sent one prompt and that translated to 3.7 credits. You can see some of that in the dash— in in the working environment, but over time you don't wanna look at that on a per-day basis. You're gonna wanna look at it holistically for the project. Um, so this is something, one of the practices that I do. Um, the other thing is this option right here. It looks like a chat box, right? But it's actually planner mode. So that is what I was, uh, and again, similarly, Tara, when I was thinking about this before, I was like, oh my goodness. Um, I was, I was going back and forth. I'm, many of us do this probably. I taught this a while ago is that I use ChatGPT or an LLM of choice to help me do all of the kind of planning. And then I copy my first prompt to Lovable, uh, out of that. And, but this was added, so if you don't know, it was added specifically for that purpose and they're using Claude as the LLM. To do that planning. And so it's worthwhile today when it's free to play around with that and see now when you're comparing prices, right? Today I have an, a very large collection of AI systems that I have to calculate together to create an ROI for a product that I'm creating. This allows you to maybe start thinking about the economics of if I can plan in the tool, if it separates is the distinction between building the model, building the, the web application and the planning, and it's cheaper to plan. And like, if you understand a little bit more about the token economics that are being used here, you might find that it's less expensive and you can build more. And that's it. It's not, is it less expensive only because you might not be able to build as much? And it's not, can you build as much as you want because it might be crazy expensive? So it is this balance of awareness Um, but I'll show you, 'cause I was doing this earlier today. This is my, um, recent conversation with ChatGPT. Um, I have, of course, y'all know me, I'm always building big businesses. So I was like, uh, I asked it a question. I actually think, where did I put this? I thought I put it in Lovable. Maybe I did and I just didn't save it. Let me go back. Um, oh yeah, I maybe I didn't save it. So I'm gonna go back in and actually start it from scratch. Um, but I used, because I was, I had already started this process of planning in ChatGPT in order to create a Lovable prompt to paste it over. Um, today I was like, I should use Planner cuz I wasn't sure about the economics of Planner. Today I got it explained to me. You can watch, I don't know how many of you were listening to the Stockholm event this morning with Lovable, uh, with the owners. Very cool stuff. You, I always like knowing, like feeling like I know the people that I'm investing in their company, especially at the tier and level that I invest in. I would, I'd encourage you to go back and watch that. It's available on replay on the She Builds website and in the community on Discord. So very, very cool. Let me, yeah, so to answer your question, that's what we're going to build now. So I'm going to go and take this prompt. I did start working in the design mode and this is literally just planning, right? So let me see what's in my I think I was doing it on my phone, so I'm gonna see if it's in my clipboard. Cancel and see what I got. Uh, I love the universal clipboard on— oh, it's not there anymore. Um, but maybe it's in my, uh, chat. So hold that thought. Um, but this is what— yeah, so you're gonna watch me over the next hour build out exactly what you're saying, and you'll see the prompts that I'm building, and you all will be—
it's—
you're welcome to them. I, I'll be happy to copy and paste them into the chat, but I mean, I'm, I'm trying to like grow the revenue of my current business. My current business is out of state that you might not be at, so it might not be relevant. But I, I will tell you one of the most important questions I asked the planner, um, was given my— now granted, ChatGPT I've been using for 180 days, or I'm sorry, 1,180 days, 1,100. So that's not, like a year. That's not 2 years. It's like 5 years almost, maybe 4 and change. And so it knows a lot about me. I have been talking to it incessantly since then. As a result of that, I exported as an exercise all of my content to Claude to see if— and Claude actually gave this to me. I don't know if you've been to Claude recently, right? Claude has want to get out of ChatGPT for whatever reason. Like, you know, you do you, if you wanna change platforms for whatever reason you want to, here's a little, like, it literally builds you the prompt to extract all your knowledge from ChatGPT. And so I was like, well, let me see. It doesn't mean you're, you're not killing ChatGPT, right? Obviously. Um, or maybe you are, but it allows you to extract all that knowledge. So it's a very cool thing to do because you can see what the words are that you use to extract your knowledge from memories inside of another LLM. Portability, I think, is our freedom, right? Like that is something that we should know how to do. And I'm not sure, I think until recently most of us didn't even think about needing to do that. Like I don't even think it was a practice that we had was like, make sure you're— I teach it as part of Responsible AI. So if you all remember during our challenge, I told you to build out the prompt for your agents to do it in a document first and then upload that to an LLM. It's the same idea, except I didn't follow that principle with like ChatGPT or even Claude, cuz I was like, well, I, I don't know, for whatever reason I didn't see them the same way as my custom built agents. Now I do, uh, obviously for, well, maybe not obviously, but I do now. Um, so as a result, I will be building that out with you all, uh, today. But I wanted to show you those, both of those two new features. Um, I'll be building that out and then I'll show you what it looks like. Uh, and I'm super excited to have unlimited credits in which to test out my AI. My hypothesis. And that's really what we're doing, right? We're bringing research into the work that we do. So today is all about hypothesis testing. What can you ask? How can you build, build as many projects as you want, right? Oh, okay. Last thing, another flex, another cool thing that I do, but I never really said out loud before until today when someone asked me the question, um, is that I always create a admin dashboard for all of my, like all of my projects. And the reason I do that is that if I can get Lovable to build it to a certain state and then all the customizations I can make through a dashboard, I no longer burn AI credits on Lovable when I'm using the dashboard to edit the app. Right now it's just the app's functionality. So think about that when you're building MRP, right? When you're building, How do you build it in a way that allows you to edit without being inlovable to operationalize the use of what you're building? And that means at the minimum, build an admin console that gives you the ability to like change data, add administrative users, review users. In my case, look at clients, see aggregate data, like whatever you want. Even ask the planner, I wanna make sure that I have an administrative view of this. What should the administrator be able to see? And it will give you some ideas on that, on what, what good administrative views look like. You can also go to your favorite tools that have great administrative consoles, take a picture like Renee does, right? Take a snapshot and feed it in and be like, I love this. Can I have something similar for my app? Though that's as simple as it gets today. But we are, um, we're productizing research. So the more hypothesis testing you can do, the more likely you're going to find an opportunity to build something that's valuable and scalable for the community you're building for. Yeah. So I will share that, the details of that, Tara, with you over the next few. Anything else you wanted to share or, or say or anything else you're working on?
I built my first fully functional chatbot for my website, so I finally can be chatbot certified. And it took— it was a lot of work because I used Lovable to do it. I didn't use a chatbot builder tool.
Awesome.
Um, so I'm excited about that. And I built several assessments, um, that are going to be hosted on different places, so I'm excited about that too.
Amazing!
I can't wait.
And so hopefully, if you are— you're going to do the video then in order to get your certification?
Yes, I am, my dear.
And so, um, it would be awesome— not— I shouldn't tell you this now, I should wait till you do it, but it would be cool. We would all love to see it. So like, the— because you are now demonstrating something that we didn't do in class, right? You're demonstrating to us how you did this in a totally different tool with a different set of constraints. And so I think that is like really super valuable. Um, I would even maybe consider putting it on YouTube, but like I said, I'm not gonna say all that because you'll be like, ah, I don't want— like, what are you talking about?
You know me so well.
Yeah, so I'm gonna tell you now, like, no one's gonna see it. I mean, I'll look at it briefly, like, I won't, you know, just get it done.
I'll share it. I'm determined.
I think we would love— I mean, the community can let you know, but I would imagine it would be very useful for us to see the Bot Builder framework done on Lovable, um, building a customer service agent. I think that would be really cool. So thank you for that. Anyone else want to share what they're working on today or any challenges or frustrations that you have? Meanwhile, I'm going to stop sharing so I can build in at the same time.
Go ahead, Renee.
I just thought I would share for the community, um, sake. So, um, I'm building a couple things at once. I don't know why, but instead of one at a time. But anyway, um, I was having a problem like getting it to go in. When you go into the— sorry, my— it's over here. Um, when you go into the, to the edit and you try to go into the side and actually do the visual edits, I couldn't get it I don't know, it just wasn't working for me. So I went—
meaning like when you clicked on something, it didn't match what you were trying to edit, or— yeah, yeah, yeah, yeah. So I had the same problem, and I found that it was because I built what I was building before Visual Edits was created. So like, you can imagine, right, the model that they're using to—
oh yeah, I did go into one old project. That's what it is.
Yeah, yeah, that's what I did.
I had a brand new fresh one from scratch that I did this morning, so I built Today, some people already took it, the spirit animal. It's your— who's your AI strategy buddy? Your spirit animal. So I just thought that was super. It's funny that two of us had animal ones.
I know.
Mine didn't originally start off as an animal, but then it morphed into an animal as I was working on the requirements yesterday. By the way, on my phone while walking my dogs, wrote my PRD with my— it was awesome.
I love talking about asking.
And then the other thing I'm doing is I think that creating visual prompts for video, uh, videos and images is really hard for most people. So I'm creating a, it's almost done, a, um, prompt generator. So you just put in what you want and it'll give you the best prompt.
That's nice.
I love that. That is definitely an area where I, you know, I, I usually just use my video cuz I generate so much video. But I would love to have, um, yeah, I would love to have like, if, if the friction to building video was less, I would be much more interested in doing that. But you know, most of us who try to prompt for, uh, you know, even the best, you end up with content that's just not, not right.
So yeah, I've actually, because of the different clients I have, I have to create so many images every week, and then I'll create images and then I'll take those images and then create the videos. Yeah, you know, because I am doing using VO3, but I'm also using Runway, Kaling, um, you know, some of those, uh, DaVinci.
Yes, I love it. All right, and one of the things, uh, you brought— you reminded me of is that if somebody wanted— if you're like, I don't even know what to build, someone could build literally a, um, like an app that would allow us to like record all the apps we're building and be able to see them, you know, like just create a mechanism for us to go to a website, type in our, like our idea, our name, um, and you know, a link to the solution, right? An app of apps. Exactly, Natasha. Like that. I'm just saying, if you're struggling with an idea, like that would be helpful to us right now. Like that would be so cool because, uh, today, uh, Art just came back from New York. I just came back from Miami's, um, There She Builds event, and it was so cool. And I wish right now the deliverable I had was all the cool apps that people had built that were just demos that they're even, they're looking for feedback on, right? Like, but I, some of those people I may never even see again. Some of them followed me luckily, and I did give my book, so maybe they'll reach out to me, but most of them I will likely not see again. And they, they might not feel enough like inspiration or courage to keep going. And if I knew, I could send them, be like, you're amazing. This is so awesome. So I think it would be really cool. Um, awesome. Um, James, what's up with that? Let's see. I want to see. All right, cool. This is very neat. Oh my gosh. A monetization plan. All right. So once people build their ideas, now James has provided a monetization plan provider, which I, yeah, that's very cool. I'm gonna do it. I'm gonna try it, see what happens. So cool. Great idea. Um, but yeah, so, so yes, so that timing thing, Renee, was a surprise to me also, cuz I was like, all my apps are old, old, right? Like compared to the new features that just launched. So these, uh, so basically you can refactor. So you could just say, hey, I'd like to refactor to use visual edits. Um, and it'll refactor, uh, the code. But yeah, it's because it doesn't have visibility to the same structure., that it was created on, which I thought was an interesting lesson, right? Because if you build AI to build code and then you change either the AI or the code asynchronously, right? There has to be some reckoning there in order for them to continue to be consistent. Um, so I found it was in the timing in which I built these projects. So my old projects were not able to be used, but my new projects instantly, which this one I just built went on Friday, so makes sense.
Awesome.
Any other comments, questions? Let me see if I see— okay, Noelle. Hi, Artie. And then I'll go to you, Kim, if you don't mind.
Yes. So I'm sitting at the New York She Builds. As you can see, it's crazy.
Yay!
Is it fun? Are you having fun?
A lot of fun. Since morning I've been building. My back is gone because the chairs are not very comfortable. Uh, but it was such a fun event. It's such a fun event. Lots of energy. Almost about 150 women, uh, who are building here together. Uh, so yeah, super duper fun. Super duper.
That is so cool. 150 women. Amazing. Yeah, this space we were at only allowed 40 women, and because there was only so many spots, and then there was like hundreds of people on the waitlist. And, um, here's the thing, like, if you're not gonna go to something, just say you're not gonna go, because they were like 10 people maybe who didn't come. And I get it, like, I'm a mom. I woke up this morning, y'all. I get home at 5:30, I jump right into bed. Luckily my sleep latency is cool, um, so I went right to bed. I woke up at 9:30 to get ready to leave. I go check on my dad and he is on the floor. Not like unconscious, but he's like on the floor. I won't tell you anything else about his situation, but I'm like, Dad, What's going on? Like, are you good? And I'm like checking, you know, some of you caregivers, you like know the checks you do to people's— I'm like checking his head, I'm checking his like under his shoulder, like to see if like he fell on something that required medical assistance. He has epilepsy, so he often has seizures and will roll off his bed, but there's lots of things to protect him from hurting himself. Anyway, uh, I check him out, he seems fine. Um, but I'm like short final for leaving this event and I'm like do I go or not go, right? Like, this is the, the thing. And so obviously these women, um, I would imagine the women that didn't come today had similar— like, it happens. But man, it was really sad to know that there were also like 150 people that really desperately wanted to go, um, and didn't get in because of that. So I'm very empathetic on both sides. I would love to try and let her know like as soon as possible if I'm not coming, but sometimes we don't think about that, right? We don't really think that there's an impact. I'll share with you another very simple example of this. I walk into the event and a security officer— I have like a bunch of boxes of books in my hand, it's like up to here, I— they're very heavy, I can't see. And the security officer's like, look, I really need you to come over here, like downstairs, and log— like sign in, because you came through a door that somebody let me in. Um, actually, she let me in, she let me in. She's like, look, I just let you in because I could see But she's like, I really need you to come back and sign in like the right way. And I was like, absolutely, of course I will. I get up there and they— I set up my books and everything and I was like, I really need to go down and sign in. And then everyone in the room was like, you really don't. No, like don't even worry about it. It's totally fine. They know we're doing this event, blah, blah, blah. But in my mind I was like, but I promised her that I was gonna come and that's her job, right? Her job is that I sign in. And she thinks I'm gonna go back. So, so many times, right, people are like, ah, don't worry about that responsible AI stuff, it's fine, like, don't worry about it. But there's this like little thing inside you. And so, and I sat with it for a minute because they literally like, don't leave, because, you know, I was like part of the thing. They're like, don't leave, you can do it on your way out, it's totally fine. But there was this part inside of me that was like, am I the one who does, like, who just blows off that internal feeling of responsibility and accountability, or am I the one who gets in the elevator and goes and does the thing that I said? And so I went and did it, of course, because I was like, that's the self-awareness. Sometimes we feel that feeling, but we can't like quite put our finger on it. And Responsible AI is this way too. We'll feel something about the way an app is being built or about how we're gonna go to market. We can't quite put our finger on it, and then it goes to market and then bad things happen. We're like, oh my God, that's why. Um, and so in this case, I've just become very in tune with like how I feel about things. And so I felt that moment of like, who do you wanna be right now? And so I encourage you to do the same thing, like while you're building your AI systems, it's like, what kind of AI do you wanna build? And who do you wanna be? And how are you gonna hold yourself accountable? Because some of these projects, you think they're gonna be nothing right now. It's just like every AI project I built for Alexa, I thought no one would use. There have been millions of people who have used my skills now. And I'm like, I wish I would've taken it more seriously. Honestly, I wish I would've done a better job. Like, I, I mean, I didn't know what I didn't know, but you know now, and I'm, I'm sharing that with you. Um, but yeah, so I went down there and I told her, I was like, I almost didn't come, but I want you to know, like, I want you to know you are worth me keeping my promise to you. And she was so touched by it, like that she was worth it, that, That I could have blown her off and been like, I'll get to it later. But that I came back for her, the, you know, proverbial security guard. And that when I told her I was gonna do something, that it meant something and that she was worth something. Like these little interactions, I don't know, permeates through everything, permeates through all my AI systems. It makes a big difference. It is night and day between what works and what doesn't in the world. And I think this is a big part of it. So anyway, but I thought it was really cool. I share that with you because you all are my friends. And it was a moment for me, right, where I could see in my mind this slippery slope of like, ah, I could just let it go. And then that, you know, the little voices, they're like, uh-uh, that's not you, Noelle. You're the one who goes down.
Nope.
You want to feel good about this. And of course I did. And then she got all emotional and I was play. You are important. Everyone, every one of us. And it's International Women's Day, and she's a female security officer. Dang it, we need to be nice to each other. So go ahead, Kim, and then we'll go to, uh, Sherelle. Thank you so much for sharing, Art. I don't know how long you could stay on, but we are so grateful for giving us a window into New York. That is so, so cool. So thank you.
And I'll see you next week before I go to celebration.
I will see you next week. So I'll text you when I land, and then, yeah, out. Let's— we will definitely see each other for sure. We will catch Yes, yes.
All right.
Talk to you soon. All right. Awesome. Kim, and then Cheryl.
Okay, so, you know, at midnight, of course, I went right on.
Yes.
So I did my little— I have a whole list of projects and I don't use Lovable. So today's kind of exciting for me. I can go in and play around and see how it works and kind of explore and not waste a whole bunch of tokens. Because exploring and testing is where, you know, I spend a lot of money on these platforms, especially the video editing one, you know, video creation ones. But, but it's so much fun. So I'm in there for a couple of hours. And of course, the first thing I build, I put the link in here. I built me a Vibe Coding project generator so that I can go in and choose little different things and it will give me the prompt. To put into Lovable to at least get a starting point. And they're not very good, but it was fun. That was the first one that I did. And anybody's welcome to use that if you want. I put the link in there. Awesome. And then I did some other ones. I've got like categories that I do, you know, hobbies, business, you know, some different ones. Nothing real complicated. But my goal is to do 25 apps today. And then I'm going to take them over to Pay Me GPT and do the same 25 apps.
Noelle, I'm with you. I'm like, wait, what?
Wait.
Back— what? Um, that's awesome though. I think that's especially with your idea generator and then even improving the idea generator as you go. Like, that's very awesome. I love it.
I know I did have to hook up the backend. So like the third one that I did, I realized these are not gonna matter. I mean, it gives you a nice UI on a couple of them, but they won't do anything. And so I did hook up all the backend. The AI, the LLM, the database, the authentication login.
Yeah.
So I put a Brew one that I did with the login. If anybody wants to go play with that, I'm kind of interested to see how much it's going to cost me if people use that app and I don't charge them.
Yep.
Because it says that you get so much free, but I want, I want to see if it starts using the memory for people to keep their, you know, their preferences and stuff.
Yeah.
How much that would cost. So it may get shut off at some point, but go use it and, you know, so I can kind of see the charges.
Yes.
All right. Cool.
So I'm curious to compare that.
Yeah.
Let's see how far— can you throw that link in the chat again just to bubble it up?
Oh yeah, sure. Thank you. There's the one for the— to like put your preferences in your coffee and tea and beer and stuff that you like. And then the generator. Let me get that one.
That's right, Natasha. How you do one thing is how you do everything. I love that.
Yes.
What you do with the little, you know, is a good representation of what you'll do with bigger stuff.
Oh, yeah.
I love what you were saying. That is so important. Little things matter more than people realize.
Yeah.
Awesome. Thank you for sharing that.
Thanks.
It gets lost in the like, duh duh duh duh. So thank you for doing that. Um, but I like the project generator. Who was it? I don't know if she's here. Luaskia, I think, wanted us to build, like, I have 100 projects. Um, actually, I might have that somewhere. Okay, I'll find it. A PDF that I wrote with, it was literally me modeling what I did for Alexa, but for AI. So like 100 mini projects you could use to like credentialize yourself in knowing, but to your point, you couldn't just. Like vibe your way there. Like they required a little bit more of like understanding of infrastructure and connectivity and, you know, like these apps were pretty full, like they were fully thought out applications that you could build, like a customer service agent, for example.
Yeah.
I mean, you could build like a web, you know, chatbot UI, but that's very different than how you're going to manage the persistence of the conversation and how are you going to, bubble up, you know, the context of the last thing they said when they come back. Like, all of that is where the hard part is. So, um, awesome. Okay, well, thank you for sharing that, Kim. We'd love to try it out. I'm definitely willing to. Um, my best bruise— so tell me that, just remind me what that means.
So like, I like— I go to coffee shops and—
oh, coffee—
all the time, and I forget what I like, right? So I think it's cool to have an app that I could just put in what, what it's, you know, profile, where it was, you know, all of that. And it'll track it and give you what your preferences are. So then when somebody asks you, what kind of wine do you like? Well, this is the ones that I really like. And they can—
oh my gosh, wait. So this is like not just for coffee. This is like all the things.
Oh, yeah.
Whatever your beverage, coffee, tea, wine.
But it's a beverage. I see, because this is great.
So my—
I am not— I am a newly minted foodie.
Um, I would say you could adapt it.
Yes, like for food. Yes.
What do you like at certain restaurants?
We have been to, uh, a single restaurant 3 times, and every time we don't really like it, and we never remember that by the time we go back. So we end up spending all this money at a restaurant. We're like, don't we hate this restaurant?
Yeah, it's like, oh, what do I—
yeah, like, why did— yes, like And especially this one dish we've gotten twice and it's awful. And we're like, I remember not liking this last time.
Yeah.
The worst part is when you ask somebody else that you're with, did I, do I like this? What do I like here?
Yeah.
Yeah.
Yeah.
I don't remember.
How are they gonna remember?
100%. Especially when it, you know, for again, foodies who like to experience different restaurants. If you have, which we do, an incredible experience. So I'm going back to Seattle for, oh no. Yeah. Seattle for MVP Summit, which is coming up in the— at March 23rd. And so there is a restaurant there, it's called Ascend. It is by far the best restaurant experience we have had on the planet so far. And I'm easily, you know, I'm the girl who does confetti in her apps, so I'm easily pleased. But they have like, you know, dry ice on everything, and so your table is always like smoky and like Tears. Anyway, I mean, it is delicious, don't get me wrong, but they're like— the ambiance and the features and all the stuff that they do, we absolutely love it. Um, but like, that's the only one I know for sure I go there, I'll find something I like. But even then, I don't know which meals I've ordered because it's a year between times. I've gone there 4 times, but it's been 4 times over 4 years. So I really like, uh, the idea of remixing this to be like a foodies, you know, logbook Um, and then I found out today— I can't remember what it's called, is it Bee or— I'll have to find out. But there is a new, uh, you know, Renee introduced us, uh, while I was all about Limitless and then I got bought out and killed. Um, Renee was using Plaud and, uh, so brought that like to our attention. And there's another one that's a video like recorder, um, and it generates content from the video that it sees. So I was thinking, as a foodie, like, that's pretty cool, 'cause you get to— now you put it right here, it's like a necklace, a pendant, and it looks at all your food. That's the first thing I do when I'm at a place is I'm taking pictures and trying to document. And so being able to be in a place, number one, where it knows where you are, take pictures of food, it detects the food, maps it to the menu item, like, there's so much cool like experiences that you can build from that. That's just hard to do like manually. And I think a huge opportunity to sell to these higher-end, higher-margin restaurants. So really cool.
Yeah.
Yeah, exactly. It would be really— I agree. Yes. Yeah. So, and I don't think you— I don't know how— I think you have to be like in your team, Kim, to remix this. But maybe, maybe there's a world where you share your prompt or something. Um, if it's open or you—
oh yeah, I could do that.
I'll, I'll—
after today I'll put together anything that I, you know, yeah, around with that might be beneficial.
And I'll definitely publish if no one does this as a result of today and builds like, uh, like, you know, the opportunity for all of us to upload their projects that we built. Um, I will put— and this is not for your like IP, right? I'm not looking for you to share stuff you don't want to share. But if you have these little apps that you're building and you want test users, I feel like it'd be great to have this directory. And that is gonna be the beginning of our business directory, right? Because some of those, thanks to James, we now have the ability to build a monetization plan for. So now for those of us who monetize, we now have a business directory of monetizable, right? Apps that have been built. Um, so I think that that's a really, so I'm definitely interested in doing that one, cuz I just care about what you are building and. Going through this chat is not going to be the best way for me to find— get access to those links.
One of the things that I do in my framework whenever I build is the first thing I do is look to see who's using something like that already. Is it a viable, like, market if I'm looking to generate revenue from it? So, um, for me, it's like I want 100 people building the same thing, like That's where you know that it's going to work. So I'm of the mindset that I want to share what I'm doing because all of us could do the same exact thing with a little different twist and we'd all have a market for it. It's— I'm not threatened by anybody, you know.
Yeah.
Now, of course, there, there is stuff that I probably wouldn't share that, you know.
Yeah.
But I mean, I definitely—
most of it's not.
Yeah.
Like, uh, especially a tiered system, right? Where you, you have your unique kind of proprietary cool things that you add and that's part of your monetization., but like, you know, the, the introduction I think is really, it's really cool. But most importantly, I like just testing other people's stuff and helping you create a better product.
Thank you.
They're really, really cool. Thank you for sharing that. I love that idea. I've been thinking about this because I have an, as many of us, like a notebook, you know, uh, in Notes on like all my notes are in there. It's not pretty. There's got to be a better way. Um, anyway, Sherelle, how are you? What are you building? What are you thinking?
I have had the best time today, I have to tell you. It's not a natural builder.
I was so excited for the—
today I'm part of another, um, family group, and I was like, oh my God, it's Lovable Day! And they were like, oh God. Um, so I've been working on finishing my site, um, which also has, um, an, uh, uh, I built on your, um, assessment scorecard and added the strategy to it that I'm used to doing with nonprofits. And so I'm actually finishing out the report on that. But very similar to you, I moved my brain, as I call it, from ChatGPT over to Claude. And oh my God, I don't know if everybody has really gotten into Claude yet. I mean, I joined them back in November, but I didn't really get into it because I've been with Chat for longer. And but Claude, chow, between the projects— I'm sorry— between the projects, It got to one point where in Lovable, as I was trying to like, OK, just give me the prompt because I'm having it teach me as I go along. Claude said, let me just get this Chrome extension, went in there and did it themselves. I took a video of it and sent it to my friend. I was like, it just took over my computer.
Yes, that's what I'm talking about.
Let me tell you, it has saved so much time and prompting.
Wait, so is this for the problem you were trying to solve, by the way?
Yes, yes, the part— it took it over for Airtable. It took it like— I have— my data is now in there. I'm sorry, I'm just a little excited.
It's amazing.
I have been—
I mean, for those of you who don't like— we're not part of our earlier phone call, we were like, I love it, but this one thing. Yes, you know, like, yes, it's—
it was amazing. So I've been stuck on this one problem, and when I'm ready to share it with the world, I'll share the problem. But the thing is that I needed the data to populate and the trailers wasn't working. It went in there, I was like, oh no, you had everything right, your JSON was here, you just got to do this and this is it. And I'm watching it literally do it and I'm just like, what? So if you do it on Claude desktop— I know we're talking about Levelable, but let me just say this a little bit. Yeah, yeah, please do, you know, as a companion, as a friend. Um, if you set up the Claude on desktop, it gives you 3 sections: a chat section, the project session, and a coworker session. So even what you were just describing, um, as it having like a little assistant or whatever the case may be, the, um, coworker session goes in and does all the tasks on your computer, all this other stuff. So it helps you execute. The project session, very similar to ChatGPT projects, is like where you build everything out, you put your RAG in there, all of that other stuff. So you work in that, and then that's the one that kind of took over my system, and I'm just like, I—
what's happening right now?
I'm so happy because what would normally take me hours has— it's just cut the time. It just cut the time. In another way, I cut the time. I finally downloaded Whisper, and, um, so now I'm saying what I want and it's putting it into the prompt and it's creating the prompts for it. That saved time. So, um, and then I'm— so I worked on two projects, the site. I'm trying to calm down. I'm really hyped.
I don't know. Bring it, bring it.
Oh my God, I finished the site. Um, I finished, um I'm working on the other project, which is an app. I have 3 things happening at one time. Right as we were starting here, Claude booted me out and was like, look, child, you use too much of the, uh, you have exhausted your time today. Yes, you can't start again until 6 PM. And I was like, all right, Big Bet, I got you, we can do it.
I think that's good though. That's like, um, that's a little self-care, right?
Like Kinda, I just went back and said I could do the prompts myself in, uh, in Lovable. I could keep this going. Here, take this screenshot. And so yeah, I'm really, really excited. And then I'll say one more thing and then I'll leave the floor to— I think Donald's next. Um, the other thing that I didn't plot attaches to what you were just— you were talking about at the beginning. Um, when I was in chat, it was harder for me to keep up with my decision logs, my README file, my model cards and things of that nature. So what I had before I did anything else, I said to Claude, hey, listen, I want to make sure for every project that we update the README, the decision log, the model cards to keep up with everything that's going on. How do I go about doing that? And they were like, oh yeah, we can connect right to your Google account. We could set up the folder. And how do you want me to do this? At the end of every project, do you want me to remind you and say and make suggestions as to how we need to update, I'm like, yes, please. Yes.
Yes, I would. That's awesome.
Yes, I am just like, I'm so excited. So yes to Lovable. I'm loving this space. I'm so happy. And I'm super excited about how Claude is helping out. So yes, I love me some chat, but I'm— it might— chat might have to be just me, like my— My old first boyfriend that I would always love, but somebody else is meeting my needs right now.
You're like, well, you're really nice. Just not really nice right now.
Uh, that's too funny.
That's a great analogy, really. Like, because, you know, like, there's a special place in your heart for that. Yes, yes. Luckily, I married my high school sweetheart, my first love.
Love that, love that.
Not everybody gets to do that.
I'm not—
I'm not married, uh, to my AI models, and I'm glad for it. Like I I'm like, yeah, I've, in the last week I have done things acr— in a more holistic way across more platforms. And it has exposed things that I have not seen. And that is, that's what happens when you lock into a vendor unintentionally. It's not like I was like, I'm a ChatGPT person. I just fell into old habits, which is like state of the world for every company on the planet. Like they're all in these old habits. Um, and first to market, ChatGPT ends up getting these habits, right? And daily habits is the name of this game. And so yeah, it was really interesting to watch my own thought process as I had to bridge, like break out of these like neuropathic kind of processes that had just become, uh, I mean, de facto standard for me. And now I'm like, wait, what? There is this and this and things that were hard on one platform are easy on another platform. And I never, yeah, I never really gave it a full, so I, I love this whole vibe of just like building, testing, creating hypothesis, testing hypothesis, and, and doing it across as, as many platforms as you can manage in your brain. Um, really, really cool. Well, thank you for sharing your excitement and enthusiasm. It excites all of us, so don't apologize for it at all. Um, it is very, very cool. We are right there with you. All right, Don, tell us what's going on. What are you building? How's it going, man?
There's too much female energy in here. It's not too much. It's good.
All right.
Oh, I see. Watch it.
I see it.
So, um, first off, you know, thanks for letting me have the space, ladies. Um, very simple question.
Ally of allies.
So don't—
yes, yes. And I'm trying to get— I'm trying hard to get my daughter, you know, psyched up to do something today. So cross your fingers. I can get her to do something. Really, really simple question. I saw that, I think the extension for Kim's tool was .app, and I'm curious, are you all creating websites or are you actually creating apps? Because that was the one question I had.
I'm creating websites personally now, but I have created an app.
And when you say app, do you mean like deployed through an app store?
Well, no, that's what, that was what I was kind of curious about because I saw, I saw it, I saw it popped up, looked like a website, but the extension mentioned, said dot app. So I just wanted to be clear, are, are people actually creating apps right now or is it just?
Yeah, I think there's a bit of, um, I put the word responsive. Yes, thank you, Kim. I, I put the word responsive in there. I think there's a bit of a transformation that's been happening over the last few years from like traditional app development, um, meaning an application, whether that's a mobile app, um, or a web app. And then we saw maybe 5 years ago this like transition that people were making to building kind of, we call them, uh, what were they called? Like PWA, right? Power Web Apps. And this transition from like, I don't wanna build for one platform. And I'll give you a really great example. I was at NPR, this was 2019. I was the head of engineering across, well, like the proverbial CTO across all of digital at National Public Radio. And I had an Android team and an iOS team and a web team, and they were all building divergently. None of it was connected. None of it was the same. They had features rolling out on web that were like 3 years on the roadmap on mobile. They had stuff on mobile that you could do easy on mobile that the web, you know, so the experiences were completely disjointed. So I think now when people are launching, A, I think people are using extensions they don't fully even under— like, they're just like, I saw this other app use apps, so I use it because it's kind of an app. The other thing is subdomains versus, you know, what's the other word? Like subdomains versus the other kind of like, you know, when you do AI Leadership Institute slash, you know, app or app dot, right? AI Leadership Institute. So the ability— like you have complete control over that. In the past, They literally were defining a mechanism, a, a, a way of going to market. Today it's completely vanity. Like somebody, uh, me, I will choose what that extension looks like. Now the definition of app, I put responsive. Technically any application that you're building from an engineering perspective, an application is something that's not brochureware, right? It's a dynamic activity that happens on a webpage. Or a phone or a watch, right? But, but that functionality is dynamic. You click a button and something happens. You provide data and something happens. That application concept I think has now represented everything that we do. But to Renee's point, I mean, most of what I do is build websites, but those websites have application functionality built in. So I'm building like AI Leadership Institute is my website, but on it I have a risk calculator. Which is an app, right? But that app is actually a responsive HTML iframe that I'm plopping inside of my website, right? So, um, I think the— that's why I asked you for the distinction between like, are you talking about apps you publish? Because a lot of companies now are publishing, uh, responsive apps and then they're giving you instructions. I don't know how many of you know Hearth, uh, or Starlight. These are— of course I would know, I have 6 kids, but It is a home network, like a home operating system for your family.
You—
we have one that sits in the center of our home and it is a digital, like, outline of everyone in the house, all of their responsibilities, and a reward system for those— for when they do their job. Um, so we run our house like an LLC, um, and it works for us. Uh, but as a result of that, when they first came out, they didn't build a mobile app, like they didn't build an iOS app or an Android app. They built a mobile app and made it responsive. And then when they sent it to us, they were like, this is not an app you download in the App Store. Click here. And they gave instructions on how to save the icon to the home screen. Have you seen this? This is like, I mean, now they have an app, so like now I could go to the App Store and download it. But to get out the gate, which is what we're doing today, they ended up deploying an app, but they deployed it as a responsive, a responsive website. They then taught their users to download it onto their phone as an icon, and it looks just like an app. And when they click on it, the only difference is it opens up a web browser. Um, yeah, yeah, exactly. Saving applications. So, so I think there's a little bit of transition that's happening in the app space. Um, I right now have zero interest in building and going through the mobile app process with Apple and iOS or in, in Google. And that's just cuz I did that at NPR and it hurt me. And so I don't wanna do that anymore. I'm like, wait, is— and then when I saw Hearth did it and I had no problem, I did not ask any questions. I was like, oh, that's how your app's deployed? No problem. I didn't go, what? You're not in the App Store? Which is what most entrepreneurs think. If you're not in the App Store, it's not a real app. If you're not like We put all this stuff in our head to keep us from public, like from going live. But the reality is, is as a user who desperately wants what this app does, I don't care where it is. I don't care what, what I have to download. I just want it to work. And so I think that's a really important thing to think about today as you're building the first version is like, don't get too caught up. But I, I don't know if that directly answers your question because I, I don't know exactly where you were going, but hopefully it's helpful to somebody.
I think it does. Just one more thing. I just wanted to give a shout out to all the women in the room. Because y'all are powerful. And I just remember back in the day when I first started trying to, you know, learn how to code, and there were ups and downs. And I was one of the few brown people in the room, but there were almost no women. And so now just looking at all of you so psyched up, feeling capable and powerful. When I said like, there was too much energy, I just couldn't match it. So I would explain that to you all and just give you a serious shout out.
So thank you. No, we know you didn't mean anything by that. Of course, of course. But it is— I agree with you. I'm like in inspiration overload by like, it's so incredibly— now all I want us to do is go and be in those spaces where it's 90/10, right? Like, that's the challenge I have is that I go to these conferences. That's why one of the things we're building is conference delegations where I can have companies sponsor women to go to these conferences because for whatever reason we don't get to go. And I, I don't, I'm not gonna put it on anyone saying like you didn't ask to go or your boss didn't let you, whatever it is, it is distinct and it is obvious. I, every year I will take a video of the escalator going up to my, my keynote. That's so funny. Yes, Noelle. Um, but I'll take a video of the escalator and it's all men. Every so often I see a woman, I'm like, hi, like we're best friends. I'm like, hi, what's your name? We should talk later. And they look at me like I'm crazy. And that's okay because they probably haven't had a woman talk to them at these events before. Microsoft is a little bit better because their demographic of employees is a little bit better than most. But in, in almost every engineering or technology and now Vibe Coding, AI, these meetups, there are 52 happening in Miami. When I go, it is a handful of women, a handful, and none of them are speaking and they all could. They just aren't. So I think there's some work that this is hopefully going to inspire in you all to like get out there. Um, that's too funny, Sherry. That's amazing. I saw Tia's here.
What's up? Good to see you.
Anyway, so I hope we all just get out there and do what we're doing now, but like in these other meetups that are happening, you'd be surprised how much, you know, someone actually told me that the other day. They were like, I just demonstrated something I did in the class that they took. Um, and I didn't know this, but no one else in the room knew what I was talking about. And it like solidified, like they felt it. They were like, I can't believe I know something that they don't know. Uh, so I feel like there's a little bit of, you know, myth busting we need to do on this, you know, echo chamber that AI has created. Um, and the best way to do that is just to get out there. And if you are not, you know, if you know a woman or an underrepresented person who's not like bring them along and be like, you know, some things you need to talk to somebody. Um, that's what I do. I bring people with me.
I—
or worse, like Padmini, um, I ended up throwing her to the wolves, as they say. Like, I had a keynote in a city and I was like, I can't take it, you're up. And so she went. Like, this is early in our friendship, but she was in the community and I was like, go do your thing. And, uh, she went and she of course was very self-critical, but she got like 6 people responded to her, which is a lot. And then one person was like, let's have a follow-up call. I'm like, this is the game. You're in it, you're in it. Um, but unless someone throws you to the wolves, some of us will never get— do that work, will never get out there unless you're like, what do you mean I have to go? It was really cool. She flew from Ohio to Florida. She, she actually— I think it was even in Tampa or somewhere around there. Anyway, we should talk about that, Renee. That was before we met. Um, so it was pretty fun.
All right.
Uh, Adriana, nice to see you, my friend. How are you doing? What is going on?
Hello. Thank you for organizing this, Noelle. I'm so happy and so excited. I just wanted to say that to everybody. Happy Women's Day to everyone here. And, uh, well, just to let you know, I, I started to build something that I had in my head for a long time. And I just realized that I spent 85 credits. I was like, oh my God, that's crazy.
Especially when you saw mine and you're like 5.7 credits.
Yeah.
It was like, oh my God, that's not the way to do it. Well, I think I need to—
but that's the benefit, right, of today is that it allows us to gain that level of knowledge.
So, and it, and it, I did build something really big anyway. So I probably even being disciplined. I will use probably half of that. So yeah, I'm very excited because I think it's gonna become a product and I already have somebody interested in and try the demo this, uh, this week, actually in 3 days. So I'm like, oh my God, I really need to finish this and show it. And so thank you for everything, for all your tips and thank you everybody, the community.
And I'm a Remarkable product, right? So like, don't, you don't have to have it all done. You just have to have a piece in the context of a sales or, you know, a conversation to be able to be like, this works end to end. And that way you don't like, cuz you don't wanna be doing everything and get everything done at 50 or 60 or even 70% and nothing done at 100%. So I always say focus on at least one use case being done 100% end to end so you can demonstrate the full lifecycle and then go back and finish everything else. But But I'm super excited.
Yeah, I'm super excited. Actually, it is. I think it's almost done. I need to tackle a couple of things, but it's just little things, but it's functioning. I already tested yesterday and I was like, yes, actually did it. I'm, I'm so excited.
Thank you.
Oh my gosh. It's amazing.
It's amazing.
And we can't wait to hear about the conversation. And of course, like, that's like a, usually a warm conversation with someone you maybe met or, you know. But like, as soon as you have the ability to demonstrate it, this is where we create a little video and then we put it on the internet and then people who, right? Like that's how businesses are built. It is so, uh, it is so cool to right now be thinking that you, again, a problem you've been trying to solve for a very long time, that you've been able to build something that you can now demonstrate to potential customers.
And, uh, they throw it to the wolves. That's exactly what it happens.
Okay.
Okay. Now I have to do it. I have no more excuses.
That's right.
That's, I always encourage everyone, all of you, like to have on your LinkedIn, um, book a call with me. Like just make that a action on your LinkedIn because as you just said, as soon as someone books a call with you, it, it becomes real. Like you're like, okay, let, we have to figure out what we're gonna say.
Exactly.
And I encourage you to take that call and know that if you're building something, you're gonna have thousands of calls. So one call does not make or break who you are. But it, not taking it defines you a bit and taking it and not learning from it defines who you are a little bit. But like the opportunity you have to just start moving forward and partner with people that'll help you get there, it's incredible. I'm so inspired. That's so amazing.
Thank you, Adriana.
I can't wait to hear about your call. I hope it goes very well.
Yes.
And of course I use, you know, I, I leveraged my LLM to help me build out my talk track and I did a lot of research on my specific customer cuz I also have a call coming up that I'm really wanna land this, this, uh, opportunity. And I, I research them and then like reverse engineered their biggest fears, their biggest hopes, their dreams about what, what they're trying to do, and then mapped that directly to what I'm trying to do. And if it's not a map, I am transparent with myself. They're like, this isn't actually a good fit. And then I let them know that like, there are pieces of this that match what you want, but I actually, I mean, this is kind of like, do you all remember Miracle on 34th Street when Uh, Kris Kringle would, uh, he got in really big trouble, uh, when he would like reference like the competitor and be like, I, I really of course want you to buy it here, but if you, I don't know if you know, but it's 30% cheaper across the street. And that they then like more and more customers came to that, to that, uh, of course to his, his store because it is all about trust. That's why I, I mentioned at the beginning security and accuracy, but at the end of the day, You can have all of these things, and if you don't have trust, right? If a person doesn't believe that you actually built something that's for them and you know what, you know, you know what you're doing, you deliver. Someone came to me today at the women's event and their immediate ask was, can you help me implement something that another implementer, uh, what did she, oh, she said a word I can't say, something about a bed and, and going to the bathroom. But they like, she said this phrase and I was like, I'm like, that's unfortunate. Um, I would love to help you. And she said, this is the common, like, she of course serves a bunch of clients. All her clients are investing in AI expertise and that expertise sounds really great for 6 to 8 months and then they have to show results and they can't cuz they don't know what they're talking about in most cases. Or if they do, it's very minimal, right? They haven't thought through what we have the ability to think through. That's why I say, like, don't build outside of your depth. You have so much depth in your lived experience. It's really finding the right people that need what you do because that depth is already there. You don't have to make it up. But super cool. Sherry, you had your hand up and then you took it down. You want to say hi? It's so good to see you. Oh wait, I can't hear you. Why can't I hear you?
What is—
you're unmuted, but you're not— you're double muted, maybe. I know, sorry.
All right, can you hear me now?
Yes.
Okay, so I started building like at 2 o'clock in the morning, and when I say building, old lady looking at a bunch of shit and going— so I went over to Claude and I said, I'm blind, and could you please tell me how I can navigate this? Guess what Claude did? It took everything away from Lovable and built everything. Built me an app, built me the strategy, because I'm in the middle of a contract. Gave me the entire structure of what I'm gonna pitch for them to buy. Gave me the scripting for 6 other— in case the people on don't know it, I'm into the, um, advanced stage facilities, whether it's independent living, assisted memory care, whatever. And I'm training the trainers, and they have fallen in like with me, but they would put people who are so deep and nonverbal to test me that it was incredible. And I said, 'Cause they can't— one of them still talk, you know, please.' So So anyhow, I passed their test and I made so many incredible apps on the fly. I got these people who don't speak to kind of emote. When I say kind of emote, if you really understand dementia, Alzheimer's, you will understand what I'm talking about. But anyhow, today the real value was Claude stole me away from Lovable and said, well, if I build, if we, if you put this in Lovable, There are 8 steps and it will take 2 to 3 hours, but I will build you something right now. And it did. And I sent it to the head of life enrichment who's in Florida on vacation. And I said, oh, Alicia, look what I made for you. And she goes, oh my effing God. Because what I did is I built an app where they don't have to think on the fly. They go in and click, is it a group, 2 people, 4 people, verbal, nonverbal, gave all the parameters of the simplicity of what they can do. So these life enrichment people don't even have to do it themselves. The app does it for them. And then as I get more clients, then it says, oh, well, you'll just get different URLs, uh, from Netlify.
Netlify.
There's a great place. Seriously, has anybody used Netlify? Or am I saying it right? Net-a-fly? Net-a-fly? What the hell is it?
Net-a-fly. I have.
Okay, so let me tell you, it's like a no-brainer. And let me tell you, none of you know how old I am. Noelle kind of knows. I would blow your socks off. I am going for the gold award of old lady smashes every woman's ceiling on the I'm in competition with you, darling.
Who's that?
Tara? Tara?
It's Tara.
Tara.
Okay. Well, the only difference is I've been hanging out with old people doing this for a while. So I have a little bit of an advantage. I've been, I've been the neuro whisperer for about 15 years. So I have, that's a little bit of an, well, it is actually a huge advantage, but let me tell you, It is a turn-on because today it's like, well, you didn't think your numbers matched, uh, all the lottery numbers, but you woke up this morning and you found out you won the lottery. So that's how I feel this morning. I did win the lottery because I have all the tools. I have all the tools. I don't have to know how to do needlepoint. I know BS. I've been a marketing person my whole life. Now all I have to do is sell what it gave me. The easiest part of my life is selling.
Exactly. That's exactly how I felt with the, um, I repositioned, like I took all the things I've ever done and all things that you said to me, Sherry, where you're like, okay, you're doing this tiny little thing and I appreciate you, but like there is so much more you can do with what you know you're doing. And so I put all, I was like, here's all of me, all the things I'm doing, all the information. What it, uh, let me give you the prompt I gave it. I was like, I wanna understand based on all of this information. So I of course built the retrieval augmented generation. Um, and I'm like, what's the highest value I can provide to the highest paying client based on my experience and expertise in alignment with my values? That was what I asked for. And again, it doesn't work well if you haven't trained the model on you. And what you do and what your values are. But my model is well trained. And so it came back and it was like, oh my goodness, you're a unicorn. Which many of you, including Sherry, have said to me, like, not a lot of people know how to be nice. And oh, someone gave me an amazing— I don't know if you're here, but gave me an amazing compliment saying that not only am I— oh, I need to plug in my computer. Um, not only am I nice, But I'm like nice, intelligent, and practical. And that most people are nice and practical, but not very intelligent and practical and, uh, you know, intelligent but not very nice. But to have all three is like a unicorn skill. And so I, I wanted to lean into that, like I have a unique set of expertise. And then I started, so based on the Socratic prompting method, it was asking me questions that I was blown away by. Like, it was like, are you currently telling your clients about the similarity of productizing Amazon Alexa? And then went into detail on like the process I went through, which I have a framework for. I just never called it. I never say at Alexa, we started off doing, and it's the same thing we're doing now, but the first thing was daily, like Jeff Bezos said, whatever you build has to promote daily use. And that's really what that means is trust. You have to create something that people will use every single day if you're building an app, right? If you're building something like that, even if you're not, even if you're building a capability inside a company, it has to have daily use for it to take on. And so that's what we spent our first 2 years doing was building daily use. Then, M-R-P. Make sure the thing that they use every day isn't just cool. It is the most remarkable thing that they can experience. Now you've got them using something every day that they love. Like, it is a recipe that I had not seen correlated to my Microsoft experience, my NPR experience, my, um, IBM experience, my Red Hat experience, and then of course my Accenture experience. And it's the same process correlated to my own bio. And I was like, okay, this is pretty good. I was like, I gotta give it to you. This is pretty good. And then of course it was like, you already have all these frameworks. It like aligned those frameworks just like you're saying, Sherri, right? Align those frameworks to an offer. And that, that offer, of course, it knows me. It knows I do a keynote, aligned it to my keynote, which pulled from my TED Talk and all of the videos that I've been on, you know, that I have on YouTube that are in the, the list. It was incredible what it did. The only thing, you know, like, but then it said, which is why I liked what you said, it literally was like, all you have to do is sell this to 20 people and your goal that you wanna make is made. And I was like, well, goodness, that's the easy part. You know, like it's piecing all together and pulling for even from all of you, we all have lived experience, aligning the right lived experience, right, to the right problem at the right time that then means something to our customers. Like, it, this is the meta conversations we get to have that are just so very hard to have either by ourselves or with the right, like, it would be like me talking to Jeff Bezos, which I don't get to do, right? Even though he lives nearby. And maybe I don't even want to for many reasons. Um, right? Or Elon, or, you know, anyone who's built a trillion-dollar valued company, I would like to know, like, who were you when you were me? Like, at this stage of my career, how— what choices did you make right now when I— when you were me that turned you into who you are now? And there's a lot of correlation that I was not aware of. So I feel like when you're brave enough to ask these kind of questions, yeah, these tools, man. And that's the other thing is, is I don't— I am not mad at you for mentioning Claude. Or Shirelle, you did the same. This is not a like lovable thing. Lovable just gave us an excuse to come together. As a matter of fact, I, like I said, we built something. A few of you are on this project called ARIA, which is a women's focused AI leadership program. It includes these delegations to conferences. It includes all sorts of stuff, getting certified, right? Creating more, uh, women certified across the globe. There's all of these pieces that come together to just elevating women in general in this space, um, and taking away the excuses of like, like one of the things— do you all know Erin, um, Reddick? She is the founder of ChatGPT. You should look her up. She's a cultural futurist, brilliant. She just had a baby, which, you know what happens when you have a baby, it just changes all the things. Um, but she's amazing, and, uh, she, you know, she basically introduced me to this concept. I mean, she's younger than me, she's me 15 years ago. Um, I don't want to say how long. Uh, she's me 6 kids ago, we could say that. So she just had her first child. Um, she's like very successful, she's growing her. And, um, and I realized like what's the biggest gift I could give to a woman is to just give them a, at least a view to a playbook that has worked for me of things you do at the time in which you need them. Like right now she's deciding Do I go on my own or do I get another job? It, that answer is based on, for me, how many companies have you worked at? If you've got Amazon, Microsoft, Meta on your resume, I'm gonna be like, no, you're good. You've proved to the world that you've worked, you know, like, but if you haven't worked anywhere, I'm gonna be like, yeah, you might wanna go work at a company so they can teach you how to run a company. So I, I, it was just really interesting how valuable our lived experience is, but how how helpful an AI can be to extract it and apply it in a way that is highly monetizable. And that's why, Sherry, you are a little humble in your approach to, uh, what, like where you are right now. You got this amazing deal, but you have been like pounding the proverbial pavement for a long time in this area, right? And so I think it with like your human, like people know who you are. It's not like you're doing a bunch of social and people are finding you. You know, through your YouTube channel or your TED Talk. Like, you are in those facilities helping them out for, uh, you know, I don't know how long, a long time.
I'm not gonna say—
no, not really, not— no, it's usually one-on-one.
But same, that's what I mean. I think—
yeah, but I mean, but you know, I always talked. I was, you know, I live in Northern Virginia, so that's 1.5 million people, and I hold on a second, my clock is going off here. Alexa. Um, long story short is, is that I would be the person for every county— Arlington, Alexandria, Fairfax— where they go, ask Sheri to do it, to introduce a product or something, because the price was right for me, right? You know, when I focus to say, gosh, I really want to monetize this, like in the next 3 weeks I have 4 talks, and they're, and they're big ones, by the way. They're City of Alexandria, it's Fredericksburg, where the Women's Club invited the mayor because they want to use an app to build a bridge of more women resource stuff. And they go like, can you do that? And I said, of course you say yes, and then you quickly go and quickly say, how do I do this, how do I do this? And, and I put together something so simple at their level because I know them. So it's really wonderful because, you know, you guys don't know me, but I've been marketing forever. I was in very high-profile international stuff where I really had to have my game on, okay? And so now at this age, to be able to do this, um, people are afraid because I'm not exactly the little old lady because I still have my shit together and I know it. And so that's pretty scary. And they're coming to me saying, can you help me? So as long as people are coming to you and asking, can you help me, you're winning. You are winning when they ask you.
I just, uh, yeah, and I, I just know from knowing you that you've been, you know, you're, you're about to be like, you're, you're growing your brand. It's on this like beautiful, you know, hockey stick trajectory. But as with most of us, You know, like it's like a 10-year journey to overnight success, right?
So, well, it's funny. I never, I never, you know, I was on Facebook and I had to do like 8 accounts for garden clubs and crap like that. And so I focused on LinkedIn and I saw Renee said she got over 1,000 impressions and I got 2 of those this week and I'm like, well, that feels pretty good.
Let's go.
But it cannot be you, Noelle, because you're just like cranking it out.
It's like, it's crazy. So I'm on a mission.
No, but obviously your mission is tied to a result that makes sense. Until I have a goal of just not yapping, okay. Oh, by the way, somebody from Yap are gone, and I had to write the guy a note, and I go, don't sell your yap on my page.
100%. Don't feed the trolls. 100%. Like, yeah, people— I find I have a lot of people commenting on my post now, and then I looked at them like, oh, you want visibility? Thank you though, I'll take it. Like, it's fine.
But it—
they're literally commenting so people see them on my post, and I'm like, that's—
I see it.
Yeah, because there's no— you know, it's a valuable comment, but it's not— I don't know them and they don't know me, and we're like third connected and like, why?
So when I saw Jason the other night, we have decided that you, we, we're pretty sure you've cloned yourself, but we don't know.
We're pretty sure you have. So those of you in the AI Leadership Institute, you're gonna, so remember I told, I had to like condense all the things I've ever done in order to do this analysis to build the next stage of my business. Um, and so I'm, and some of you know this already, uh, but there is a platform that I was given access to. I don't know what the, um, I don't know what the extension is, but you can Google it, called Delphi. Um, does anyone know Delphi? Uh, yeah, so you can look it up, but basically it's a place you can store your brain, um, and you can document all the things, and then you can create an interface for customers to talk to. And the way that I saw it implemented was very cool. Gwen, thank you. I'm— thank you, I, I'm not alone. Um, but it's cool, like, we all don't hear about something until we do. I was the same way with Delphi a couple weeks ago, but the way that the person introduced me to it is they said, I have a Delphi, and before you come to me with a question about something, go to my Delphi and see if it can help you. And I did, but he— this person did not know who I am, and so I like hammered that thing like nonstop, to the point where it became like, oh, it's based on an old LLM model. So, um, it started saying— have you ever seen that when you start asking a model questions, it starts the answer the exact same way? Like, oh, I appreciate that. Like, there's like a phrase it uses, and it's the same phrase every single time. And then I'm like, oh, like, it totally— but the first 30 minutes of my chat, which is statistically the way it works, but my first 30 minutes with the, the bot, I was like, this is awesome. It gave me sales page landing copy that I wanted. It gave me like all these different ideas. And, and real deliverables. So I was like in alignment with this person's philosophy. I was like, this is cool. If I can do this, this would be great. But then it got very repetitive. And the context window, right, was not very big. So they're obviously not on Opus or even saw it. 4, 6. So as a result of the minimal context window, it started repeating itself and I was like, oh, I've exhausted your usefulness. But it was cool though, because the idea of it is good. And I would imagine all of us, it's literally the ultimate customer service agent is like in your LinkedIn, in your email signatures. If you have a question, I can serve you 24 hours a day. Start that conversation with my Delphi agent or whatever it is. And then have that Delphi, if it cannot answer, instead of repeating itself, just be like, let's set up time with Noelle Russell Russell. Um, and that becomes a funnel that I can, I can use, but it's pretty cool. Yeah, you could do the same thing. Thank you, Cynthia. Yeah, you can do the same thing with HeyGen, except HeyGen runs the same problem is that they have a backend model that isn't the latest and greatest. And I don't know if you've noticed, but both on ChatGPT and on Claude, massive model improvements have completely changed the game from a real-time data access, like, knowledge agent type of space. 5.4 is very good at this, like, high-level RAG-based reasoning, like, exponentially different than what we saw in 5.2. So something to think about. Yeah, exactly, exactly.
I don't know.
I do think that there's a moment here for all of us. There's a reason we're in this room, right? It's 6:07, so I'm not going to keep you too much longer. The hope of this 2-hour session was to let you know you're not alone in building, that there is everyone who took the stage today. Thank you so much for your time, everyone who spoke. None of us are classically trained data scientists. We did not get raised in the world of math, you know, mathematics. And, you know, if anything, people probably told us we weren't great at those things and that that's not a world we belonged in. Um, but everyone is a builder. The most important thing you can do is figure out who you're going to build for and what you're going to build for them, right? Like, it is— it could be serving yourself, but ultimately I say even then, when you build something that helps you, there is a whole audience of people that are just like you waiting for you to build that thing. And so my hope today is that you will spend some time in Lovable You have heard of Claude. Claude is amazing, but we don't have free Claude today, so use free Lovable to just get in the habit. I think it's a good, like, neurological practice to just build stuff that maybe you never use again, just to exercise the muscle of building, see what's possible. And then don't take anything too seriously in the world of AI. I have come to, to learn the hard way that you can get on a beautiful track and someone, I think Renee, you mentioned it when you were talking about about using these models and then being able to having the, to a requirement to like back up. Um, maybe it was you, I don't, or maybe we talked about it at some other point, but, but sometimes you'll get down on a tangent in Lovable and then you'll be like, what are you doing? This is not good at all. And then you have to roll back those changes. And so having practice, like rolling back things, completely giving up on things, it is so hard. It's one of the things that kills most founders' dreams. Is they get attached not to the problem that they wanna solve for someone, but to the product they built to solve that problem. And that is what makes or breaks you as a founder, right? Either you are founding a solution to a problem, not a product. Now we can build products like this. Our job is to build as many products as necessary to accurately solve the problem we care about for exactly the right person. And there's no, no excuse now. We could do that, and today we get to do it for free. So I encourage you to build today. I will be online. I will hop into school every, like, around 8 probably when my kids are, um, off to bed getting ready for school tomorrow. I will just turn on school and just, you know, we'll just have an open forum, um, if you want to build with me. So I'm building and I'll share my screen, but if you want to share your screen, like, I just, you know, sometimes it's nice to just have a little space, but it's completely ad hoc. If you're not part of our community, you're welcome to join us. Uh, that's very easy to find. It's just my name, Noelle, N-O-E-L-L-E dot AI. Um, one of my many sites that needs to be revamped with my new, like, planner at Lovable, uh, enabled guidance, where they're like, for real, you gotta like at least make this stuff look the same. And the funny thing is, is that a creative director came to me and was like, I love what you do, but for goodness sakes, like I don't know what I'm doing when I'm in your— like, if I'm on Love— if I'm on school, I get it. But then I go over here and I, I mean, I get what you're doing over here, but how's that— is that connected to school? I'm like, um, no. And they're like, great, but okay, over here you're doing this other thing. I'm like, yeah, I see your point. It'd be nice to connect that. And I never would have done it because it took too much time. But now I'm a lovable prompt away, and today it's free. So that's what I'm building today. Is a way to take everything I do and create a cohesive— oh my gosh, can you believe I'm saying it? Customer journey.
Yay.
Um, so for those of you who are my customers, you just know, like, I'm just doing my best, but now I have a little bit of room, so I'm gonna try and really nail down that customer journey. And I want you to build with me, see it the entire time. So thank you everybody. I hope you enjoyed today's session. Um, definitely keep building. Let us know what you're building. I'm gonna Hopefully if no one else does it, I'm gonna build a little app that I'll have you fill out tomorrow just so we can collect all of the non-proprietary, non-trade secret type of apps you built on Lovable and give people a chance to just go through and play around with them if you are up for that. Yeah, absolutely. I'll see y'all at 8. It's in school, so you have to be in school to get there. So if you're not there, it'll be in the I Love AI community. So we make it accessible to everyone, who's in there. And I'm not going to talk. I'm just going to tell you right now. So if you want to talk, you can talk. I'll share my screen while I build, but it's like a build session just to take advantage of the time and to do it together. So I hope you enjoyed the session today. I hope this inspired you and you saw through the lens of all these amazing people that you could do this. This is meant for you. Your time is now. I mean, I can't imagine every, every other person that was on here, everyone who responded was like, your time is now. Everything you've lived to do and experience, like, now's the chance. You can build the thing. So go build the thing, and we celebrate you. Happy Women's Day, International Women's Day. You know, say hello and be nice to a woman, you know, in the most appropriate way. I shouldn't have said that, but be nice. Be nice to each other. Um, not every experience has been positive for most women that I know, and certainly for me. Uh, in the workplace and with my ideas and as a founder. So just realize like the empathy you can show them, it makes a world of difference. I mean, it's literally like the response of that security officer who was like emotionally touched that I was, I honored her in that just 5 seconds. She was like, thank you. It was really cool. So I wanna do more of that. I honor all of you. Your presence matters, your voice matters, and most importantly, what you build matters. And I'm here for it. So thank you for being part of my community. Bye everybody, have a great day.
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