The AI Movement with Brooke
The AI Movement with Brooke, explores how entrepreneurs, founders, creatives, and leaders are navigating the rapidly changing world of AI.
Through real conversations with people building, experimenting, pivoting, and growing with AI, Brooke goes beyond the latest tools to uncover how this technology is changing the way we work, make decisions, build businesses, create, and define success.
The AI Movement with Brooke
Building AI You Can Trust | Noelle Russell, Former Microsoft & Amazon Alexa Leader
Noelle Russell, Founder and Chief AI Officer of the AI Leadership Institute and former AI leader at Microsoft and Amazon Alexa, joins me to break down what responsible AI leadership looks like as companies move beyond experimentation and begin building more autonomous AI systems.
Recorded live at eMerge Americas 2026, this conversation explores why your values should be built into the AI you use, what organizations should consider before automating more of their work, and why clarity of thought may be one of the most valuable skills we can develop right now.
In this conversation:
- Why Noelle compares a new AI system to a baby tiger
- What constitutional AI means and how it keeps systems aligned with your values
- Why companies should evaluate value, risk, and complexity before choosing an AI use case
- How security, accuracy, and trust determine whether an AI pilot succeeds
- What founders and leaders should think carefully about before automating
- Why people may become less receptive to AI salespeople and relationship builders
- How custom GPTs and focused AI systems can solve specific business problems
- Why clarity of thought matters more than technical experience when building with AI
About Noelle
Noelle Russell is a multi-award-winning AI executive, entrepreneur, keynote speaker, bestselling author, and Founder and Chief AI Officer of the AI Leadership Institute.
She is a five-time Microsoft AI MVP and was named the number one agentic AI leader in 2025. Noelle has led teams at NPR, Microsoft, IBM, AWS, and Amazon Alexa and is the author of Scaling Responsible AI and Custom GPTs.
Connect with Noelle
Mentioned in this episode
- Constitutional AI, Reinforcement Learning, AI Safety systems, System Prompting
- EU AI Act for Global Nationals
- Marbelism Agents, Custom GPTs, Claude Skills, and Google Gems
If you are excited about what AI makes possible but do not want to lose the trust, relationships, or values behind your work, this episode is for you.
Explore eMerge Americas I’ll be attending the Miami AI Summit. Learn more and register to join me there.
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The AI Movement Podcast, formerly How I AI, looks at what AI is changing beyond the technology itself: how we define our value, build businesses, lead, create, make ethical decisions, and ultimately how this shift is reshaping work, culture, and the lives we are choosing to build.
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How I AI is now The AI Movement with Brooke.
LinkedIn: Brooke Gramer
Website: TheAIMovementPodcast.com
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There's a term called constitutional AI. Okay. And that means like, you know, your constitution. The constitution of the United States. Who are you? What do you care about? What are you striving for? What will you fight for? What are those core principles of your company leadership values of that beat those of who you are? You can build it into an AI model so the AI model never deviates from those principles.
SPEAKER_01Welcome to the AI Movement Podcast. The space where modern entrepreneurs and founders come to stay current and navigate their next move with AI together. I cover the conferences, sit with the people leading this shift, and I bring it all here. Broken down, without the hype, whether you're building something, pivoting your work, or trying to keep ahead ethically, you are in the right place. Let's get into it. I'm your host, Brooke Gramer. Today's guest is Noelle Russell. I first met Noelle in early 2025 at a women in AI event here in Miami where we were both speaking. That day she gave me a personalized signed copy of her book, Scaling Responsible AI. This ended up becoming a part of a creative inspiration behind an in-person panel I later produced around conscious leadership in AI. So to say I was excited to have her join me for season two of the podcast is an understatement. For those of you who don't know her, Noelle is a multi-award-winning AI executive, an entrepreneur, keynote speaker, best-selling author, and founder and chief AI officer of the AI Leadership Institute. She's a five-time Microsoft AI MVP, was named the number one agentic AI leader in 2025 and has led teams at companies including Microsoft, IBM, AWS, Amazon, Alexa, and NPR. In today's conversation, we get into what responsible AI leadership looks like now that companies are moving beyond experimentation and getting into agents or and more autonomous systems. We also talk about transformation. What we could and shouldn't automate or why your values need to be built into the AI you use. And why Noelle believes clarity of thought may be one of the most valuable skills we can develop right now. All right, let's dive into today's conversation with Noelle Russell. Noelle, it's so wonderful to see you. Thank you. Thank you for having me. It's been almost one year today since we last saw each other in person for an event here in Miami for women. Yes. And I want to catch up with you about everything you've been up to since then. If you can share first with listeners who maybe don't know who you are, a little bit about yourself.
SPEAKER_00Yes, absolutely. Um, Noelle Russell and I run a company, the AI Leadership Institute.
SPEAKER_01Yes.
SPEAKER_00Uh we've had an incredible year, obviously. Everyone's like, AI. Yes. Um, but the challenge most organizations have is not starting AI, it's keeping it, taking care of it, making sure it's safe, secure, responsible, and profitable. These are the challenges that I tend to be very excited about. And of course, out of educating people, people were like, Can you just build it for us? So we built a second company that is a consulting organization where we just build for people.
SPEAKER_01Right.
SPEAKER_00But then we realized building for people isn't great. I want to teach them to fish, not give them the fish. So now we have a third company that is that middle ground where we actually teach people to fish. We build a full system with them, not for them. And it's a really great now. I feel like that is where every organization hopefully will get to is that you learn how to do it well and then you build it on your own well. Like you don't need to keep, you know, some of these companies employed for you all the time. Like learn to fish and let your employees do that work for you.
SPEAKER_01That's wonderful. So you're coming at it at all angles, lots to dive in already. I know.
SPEAKER_00It's kind of evolved. Uh but kind of fine though. It's an exciting time.
SPEAKER_01But first and foremost, I'd love to hear like how are you most powerfully leveraging AI personally as someone who's been in the space for so long? Like what are you doing right now?
SPEAKER_00Yeah, so the number one thing I did was implement agents, of course, but a very specific platform. So I uh I like to think about things like crawl, walk, run, right? And so crawl would be like for small businesses, people who don't have a Microsoft account or a Google account, right? Like small organizations. I ended up meeting the CEO of a company that was pretty mature at the time I met them, now even more so. But it was called Marbleism. Have you are you familiar with this? No. So it's very hard to say. Everyone I talk to about is like marble, what? But marbleism is a six-agent platform and it gives you an agent. And again, I'm not affiliated, like I just, but I use them every single day. It's on my phone where I can talk to my EA. It's connected to my calendar. Um that EA is connected to my calendar and my inbox. It auto-drafts all my emails. It also keeps track of my social media agent, my long-form content agent, my sales agent who actively goes out and looks for my ICP, which I defined. It then sends a mini sequence to them to introduce them to me so we can get on a phone call. Okay. And then there's a legal associate to help me with NDAs and contracts and proposal writing. And then the final one is the receptionist. And so this, like within an hour, all six of these are working for me. There's a phone number that I get, no more Twilio integration or the nonsense we have to do, like to integrate, you know, N8N and connective tissue. Like click, click, click, and you have these. So I use it, even though I have a Microsoft account, I have Copilot. Yes, like marbleism was like my cheat code to getting immediate value from the agentic world.
SPEAKER_01And that must be so empowering to free up your time. If I can recall your mother of five. Six? Six?
SPEAKER_00Yes, five are at home, so I see why you said that. The other one's in Arizona, but yes, six.
SPEAKER_01Yeah, I caught your mind valley talk. Oh, yeah. And I love just getting to learn more about you and your journey and your life. Yes. Um, so that's my my number one mission is to really ultimately empower users, but especially women, because we have such big important roles of our family and our communities. Yes. Um, so my next question for you is since you're teaching so many facets of AI at different levels, what have you learned most about teaching AI that maybe some people are missing? Or if you could just share the thing.
SPEAKER_00I mean, this is a great chance to bring in my baby tiger analogy. So this is this is what I have learned uh over a decade of teaching, helping, empowering organizations is that when you start using AI, it's like a baby tiger. Like it's super cute. Like if you think about the first time you used ChatGBT or Gemini, maybe not Copilot, because it was a little rough at first, but but Claude, right? You go in, you ask it a question, it gives you back something, you give it a PDF, it summarizes, like it's super, like you're like, this is amazing. And so similarly with a tiger, you're like, oh my gosh, it's so cute. But what I'm finding is no one at this stage, when it's cute, cuddly, and small, no one's asking really important questions about how it's gonna grow up. Right. So what I'm finding now is that the most important questions organizations can ask is like, how big is this thing gonna be? What is it gonna eat? What data does it need? Where is it gonna get it? Like, am I gonna buy that data? Am I gonna steal that data? Like, how does the AI model grow? When it grows, where is it gonna live? Who's gonna host it? Who's gonna manage it? Is there a zookeeper? Like, what is what's happening? Um, and most importantly, inside companies, like we're building these little models that become big models.
SPEAKER_01Yeah.
SPEAKER_00In a big model is going to ultimately need care and feeding every single day. So it's so much easier to have that conversation when it's cute and little than when it's like, you know, serving 500 million users. Yeah. And so that's what I found is that most people aren't asking those questions in the beginning. They're they're really just enamored with the exciting time and like world that they're in. They're like, oh my god, the AI is awesome. Look, I just got clawed. Look, another version just came out. They're just jumping from model to model, use case to use case, with excitement and never really asking this the hard the questions that will determine whether they're successful at all. Let's pull on that thread a bit.
SPEAKER_01Let's talk about the upkeep of AI. How do you consistently check in and manage and maybe redirect your AIs?
SPEAKER_00Yeah, so there's a term in machine learning called reinforcement learning. So you probably have seen it, like the thumbs up, thumbs down, like in a model. So this is the direction that we can provide as users to a model that the model's not doing what we want, right? Thumbs down. If it's a good model, it'll give you like five stars, or it'll give you a text box so you can actually say why it's not working. But that feedback is how a model gets better. But in a world like Copilot or Claude or some of these other systems, you don't, you aren't the model builder, right? So you don't get that feedback. So how do you change? So what we've done is we've built AI systems to educate. We call it an AI safety system. So what that means is that we start by first when we build a system designing for human AI experience. That means the first thing we're gonna do is say, what is the human gonna do? What is the AI gonna do? And we define like what good looks like based on that model. Yeah. And then we write a prompt. Like sounds easy, system prompting, but it's not venue machine AI. It's system prompting. It's basically controlling the machine, not asking the machine. So this is like going into the custom settings in ChatGPT or going into customize inside a claude. Like you're actually telling the whole model what good looks like for you. And that's how we end up giving it guardrails, right, for performance. But the I guess the cheat code for making sure they last over time, that their behavior stays good over time, is actually building AI systems that validate that. So for the listeners, we have like extra homework. There's a term called constitutional AI.
SPEAKER_01Okay.
SPEAKER_00And that means like, you know, your constitution, the constitution of the United States. Yes. Who are you? What do you care about? What are you striving for? What will you fight for? What are those core principles of your company, leadership, values, of the ethos of who you are? You can build it into an AI model so the AI model never deviates from those principles. And most organizations are not doing this today.
SPEAKER_01Yeah, taking the time to do that. I love all the metaphors that you use. Vending machine. Yeah, yeah.
SPEAKER_00It's easy to understand, right? Because you're like, that's what people do. They're give me an email, write me a LinkedIn post. And I'm like, or we can be like, we're the kind of person that wants to communicate to our kind of customer. What's the best way? The model should deduce that it's LinkedIn. We shouldn't tell it.
SPEAKER_01Yeah, absolutely. Let's switch gears a bit to the enterprise uh term and section. Where do you think a Gentec AI is genuinely ready for enterprise value today? You know, where is the market maybe still getting ahead of itself? Because everybody's just kind of rushing. We need agents. We need them now.
SPEAKER_00Yes. I would say that actually I think AI and even agents, they're ready now. It's the use case. So I always encourage people to use a rubric, a very simple measurement to figure out if they're you they're going after the right use case at the right time. So the first thing is core values. You'll see a theme in the way that I do my work, but core values first. What is important to your business? What does success look like for your business? Like it's going back to the basics of like, especially ease, it's easier for founders and small business owners because they're closer to that time. I go into companies though that are 100 years old and I'm like, no, no, who, why do you do this? You're IBM, why are you doing this? And documenting the why is very important for us personally, but it's also incredibly important for AI systems to understand what they do. So that's the first thing. What it what are the core values? What do you think is valuable in the business? And then what is risk? Right? And so risk is different for every company. I worked with uh Lando Lakes, they're the Cheeto dust people, but also better. Well, I was gonna say better. Cheeto dust. But I was so surprised. I was like, you're in Cheeto dust? That's amazing. Um, but they have a brand that they're trying to uphold, and so risk to them is very different than risk to you know, Delta Airlines. Right. And so looking at value, looking at risk, and then the last thing is actually going after use cases that are the least complicated. And that's usually not what people want to do. They want to boil the ocean, they want to do the hardest thing, and that sets you up for failure. 95% of pilots fail to ever get into production. Wow. And it's because they don't follow this, they go right into this looks cool. They haven't vetted, is it valuable to us as a business? Is it risky to us as a business? And most importantly, can we even do it in our company? So I think that use case selection, it allows you to start AI today if you pick the right use case at the right scope. Yeah. 95% of pilots fail. Wow. That study came out, it's in Forbes in December. Do you want if you all want to look it up? Yeah, it's crazy. What sets you up for success? Who's doing it right? Yes, the 5%. So we've talked about some of it, right? Yeah. The number one reason, and there's actually two sides of the failure. One is technical. Okay. So on the technical side, it's security, accuracy, and trust.
SPEAKER_01Okay.
SPEAKER_00Right? So most organizations over provision their AI systems. Most organizations do not realize that by creating a conversational agent, you increase the attack surface of your company. So that security profile is massive, and most comp so fail. Wow. The next one is accuracy. Most organizations don't know that they can ground the model in truth, that they can ensure their model doesn't lie. Like all of those things are possible, but that's most organizations, they are setting themselves up to have a model that drifts away from truth over time. And then the final one, which is actually correlated to the number one non-technical reason, which is trust. The number one reason why these pilots are not um generating any value is because nobody will implement them. Like the people we're building for won't use them. And I always think to myself, why wouldn't someone use them? Because they're afraid, because they're watching companies like Amazon and Microsoft lay out lay off 10,000 people in the age of AI because they're watching, you know, like I get why somebody's gonna be like, yeah, that AI, no, thanks, I'm good. I'm gonna do it the old-fashioned way because you need me if I do that. So it requires us to have a redefinition of what work is and what value is in a company. And I think all of those are really good, like that's why I love Mind Valley. It's like a really good self-development journey, as well as an AI development journey.
SPEAKER_01Yeah, your own personal development and spiritual practices are so important right now. Because we're all coming up against this uh definition of what our value is.
SPEAKER_00Yes, I agree. And then we're dic dictating to a machine. That's why that first step of human AI experience, we get to choose right now. Soon we won't, but we are the last generation who will get to choose between these two things, between what I do and what it does. And the it is defined by us. But most of us are over-privileging, over-relying. We're letting go of the things we love and letting an AI do it instead. Like, you know, I love social media, I love connecting with my followers, I like connecting with my students. Yeah. Like I'm not automating that. But a lot of companies are like, well, but if we can do more is more is more, but then it doesn't represent you, it doesn't represent your core values. And then the humans who are your customers, they see that and they react.
SPEAKER_01I kind of have this feeling with AI clones, and I see a lot of founders wanting to just jump in and be like, oh, like I don't have to be on camera anymore or reply to people anymore. But I also feel like it's it's a disconnect.
SPEAKER_00100%.
SPEAKER_01Yeah.
SPEAKER_00Yeah, I think there's like there's definitely places in your business where you can have that. So for example, I do like my SOPs to have a video that is me. And my SOPs do not need to be me. So they're deep fakes of me. And as a matter of fact, I always tell people, like, if I go somewhere and they do my makeup, I immediately record a deep fake. I'm like, look how cute I look. I've got like the lashes, everything. So I record it and then I do a bunch of videos in my company. Yeah. But I don't use that to like communicate or connect or sell. Yes. I think people, especially as we get more and more inundated with AI, people will grow averse to an AI salesperson, an AI relationship builder. Like they want to know who they're working with. More so than ever, I think. They want to know who it is, not just what you do.
SPEAKER_01Yeah, trust has gone way down, as you mentioned. So it's I like that distinction of sales, uh, relationship building, the one-on-one is really important. Customer success. Yes. Yeah.
SPEAKER_00I mean, oh my gosh, I got trapped in open AI where they double charged me for something, and I got trapped in their support cycle. Where it just kept psych like months of I just want to talk to a human. Can I talk to a human? And it's like, I am a human, but it wasn't a human. And then like over and over, and then it would reset and start back at, I'm sorry, what was the problem? And I'm like, Yes, we have talked about this. Yeah, so really frustrating.
SPEAKER_01I actually just did some personal research on this because I had the same issue with Venmo, which is you know, my financial baking information, and I couldn't get a hold of someone. And I was like, researching, is this legal? And apparently, if they meet some sort of standard or minim minimum, I don't know who's even setting that, they're allowed to do that, where they don't have to put someone on the phone. I hope that changes soon. What do you see happening?
SPEAKER_00Yeah, I mean, the good news is that there's like the EU AI Act, right? So the EU AI Act for global nationals, which is not then, but global national organizations that are held to a different standard, they have to, and we're only we're starting to see implementation of this act, and it's got hundreds of different levels of parameters that we you have to cover, but it's just starting to go into effect like in October of 2026. Okay. So you'll start to see new rules and regulations. States like California, uh Washington state, New York are also passing state laws. Yeah. That means only people in those states get that benefit of having a human actually respond. Um, so regulate you know, I always say regulation is the floor, the bare minimum. But the bare minimum, there's there is no floor. So it makes it very difficult for consumers like us to be like, no, I like that was $150. Like I would like to have that back, please. And no one is, I mean, I still to this day have never, and I just gave up. Which is, I guess, a ju a good for me that I can afford to do that, but like, I don't know. That doesn't feel right to me. Yeah, so the good news is that there are outside of the US right now, there are regulations that will force global national companies, which is anyone operating, you know, like these uh MasterCard, a lot of these financial systems. But but it's not gonna be enough. And so at the end of the day, that's where ethics comes in. It's like really we need to educate the leaders of that company to be like, is it ethical? Do you even know?
SPEAKER_01Yeah.
SPEAKER_00Oftentimes I don't think that the leadership in the company realizes that they're hurting their customers. Right. Right. I don't even think they realize that they're in this vicious loop. I think they're getting statistics that tell them the opposite. Because they're using AI to generate these insights. Right. So I yeah, I have a feeling that if we educate people on like, why don't you just get some insight and look at how it's working, that they'd be surprised at how much it's failing.
SPEAKER_01Soon the pendulum will swing, I think, and it'll be the real flex will be talk to a person.
SPEAKER_00Yes, yes, pay extra to talk to a human, which is ridiculous. But I would 100% I'd pay more to talk to a human. Yeah, just to get those issues handled. Yes, yes, have a like, so in my community, I have like one of my offers is a bat phone to me. Cool. Yes, and people will pay ridiculous amounts of money to have a bat phone because they end up in these cycles and they can't get an answer. That's such a fun marketing idea. Yes, exactly. Try it, yeah, yeah. The bat phone, the bat signal. Yeah, yeah.
SPEAKER_01We touched on risk a little bit, um, but my question for you is if you were to teach a board or executive team to understand AI risk without turning this conversation into fear, how would you approach that conversation?
SPEAKER_00It was just yesterday at a company called Diligent. They basically are an organization that builds uh software platforms for the GRC, right? So for governance, risk, compliance, and audit teams. Um, and so the room was full of like chief legal officers, risk officers, compliance officers, um, so literally the audience of exactly what you're talking about. And I and my session with them was all about, of course, first the baby tiger analogy, but also their responsibility. Yeah. Because I think there's a shared responsibility model that has not been really shared with boards, senior leadership, and companies. And that shared responsibility model is the responsibility of like a Claude or a Microsoft or a Google, it stops at providing you the model. Yeah. Meaning, like they're not responsible for the model being accurate, you know, all those things, secure. Like they'll give you the tools to do it, but they're not gonna make it secure for you. So you have to invest in that. Most organizations, baby tiger mode, they just buy the tiger. Yeah, they don't think about the entire ecosystem of things that are necessary to make this tiger operate well. Right. And then think about it times 10, 25, 100. Uh I mean Satya Nadella recently quoted a billion agents in like the next five years. Yes. And if that's the case, like how who's managing those? How are we managing whether they're doing their job? Are they even like, are we checking if the tasks they're doing are being adhered to? So there's so much, yeah. So so I try not to scare them, but I do scare them a little bit. Yeah. I I think it's okay for I call it nerve-sided. Like it's okay to be a little nervous, a little excited, but the opportunity is is theirs. They just have to use their words to build a system that checks on these baby tigers. So they have to start building.
SPEAKER_01Nerve-sided. I use that analogy for speaking. Oh, nice, yes. Yeah, like turning nerves into excitement. Yes, that's awesome. Oh, and wonderful, that's amazing. So let's get into a little bit more in the future of 2027. Yes. What are you building, exploring, and paying most uh close attention to right now?
SPEAKER_00Yeah, I think one of the biggest trends is in custom. So I just released a new book, Custom GPTs. Oh. Um, so it's building custom GPTs. I know I started it two years ago. I actually it was a we you would appreciate this. I took two women in my community and I added them to the byline and had the like so I Could transfer some of my credibility, and I'm like, they're like, I could never write a book. I'm like, or maybe you can. It did take us two years, but we did it. And so now all three of us have co-authored this book together, but it's on how to build custom GPTs. And really, this I think is the next year is realizing that vending machine AI right concept is that it's you're not gonna just go to a model and ask it for something, you're gonna want a model that's custom built for you. Yes. Custom built not just for you, but for the very specific problem you're trying to solve. So it for example, for me, I have a custom GPT that builds YouTube thumbnails for me. Biggest challenge, yes. Like, and I want that model to be smart enough to go and constantly be looking at the most popular in my niche that are generating the most clicks. I want you to use that format for mine, and all I have to do is ask you for it. And I mean it's amazing. It takes my face, which I've given it a bunch, but it'll turn it into like the, you know, and the like I you know, I've had this done recently.
SPEAKER_01I was uh I did a collaborative post and was interviewed by another woman uh for SEO an AI conversation, and I'm like looking all me mugging on that thumbnail. And at first I was like, I don't know, I was like, I didn't get permission to this, and but then I was like, I'm thinking too much about this, or maybe it will be clickbait. I don't know. 100% YouTube's tough nail to crack.
SPEAKER_00It is, and that's why I like like this. I mean, it's been working for me, but I had no interest in YouTube until recently. And I was like, I need to solve for this because I'm not gonna invest in someone, I don't even have time to train them. Um, so I built a custom GBT for this, and then I also did one for titles, I for the YouTube titles. Yes. Um, so each one is specific though. Most people want to build one agent to rule them all, like has all these features. And the way AI is most powerful is when you narrowly focus it on one thing. So I have a YouTube generator, I have a um one, oh, a sales proposal generator, um, what is the other one? Oh, HR. So I I don't have any employees in my company. I have about 32 AI uh employees, but I have five contractors. But I wanted to treat my contractors within the letter of the law like employees. So I wanted to make sure, according to like tax law, how good can I treat them without giving them benefits, without them being, you know, without the IRS being like, they're actually employees, you need to like have workmen's comp and all this stuff. So it was really powerful to be like, you can be this good to them without crossing over that line. And I would never, you know, be able to manage that on a day-to-day basis. I would just choose not to, you know, and so now I get to be a better leader because I have a system that's giving me ideas that are safe and trustworthy. And of course, I have systems to check that, but but that is custom GPTs, I think, is the future. And I say custom GPTs, but I mean, you know, we've now seen OpenClaw and Claude Skills, these are all the same variants, right? Yes, I was like, Google Gems, right? So every platform has their ability to build a custom AI system to solve a specific problem, but they solve no problems until we get involved. So, along with those governance people, I'm like, get in there and say, what is the biggest thing that drives you crazy right now? Yes and build a little AI agent to make that just a little bit less crazy.
SPEAKER_01Yes, I've done a few trainings on custom GPTs for small businesses and first-time founders. It's like one of the first skills to get on to, I think, for AI. But I'm I'm gonna start learning more about Claude myself. I was on both chat and Claude in the beginning. Me too. But I'm switching more over to Claude just to be current because everybody's like getting on the Claude cohort to train right now. So um, but I'm sure it's very similar, the skills, which is how they are today. 100%.
SPEAKER_00You go into the I mean the only difference I I would say in Claude is that it's much more natural language focused. So you know, when you go into like custom GPTs, they give you a lot of guidance and an agent that kind of walks you through building it. Right. And in skills, there's an agent that walks you through, but there's like three places like name, description, instructions. Wow. So it leaves a lot more if you don't know what you're doing. More intuitive. Yeah, there's like less instructions to help you build the right thing. Like there's no, you know, starter conversations, you know, all the stuff that they kind of help you out with. So I feel like custom GPTs were built to support people who aren't familiar with doing this. And Claude is kind of making an assumption that we've been doing this a while.
SPEAKER_01Well, as we wrap up this conversation, because I know you gotta get rolling to your stage next. We're here at Emerge, day two, so exciting. What's one main takeaway you'd love to leave listeners with? Um, what's on your heart that you want to share?
SPEAKER_00Yeah, I would say probably the biggest thing, there is no prerequisite for building in AI these days. The only prerequisite is kind of self-awareness. Like, what do you want to do? How do you want to do it? Can you use your words to describe that to someone or something? And being brave enough, so like my mom is 80 years old, and she had me build a platform. She runs a coaching, like a healthcare coaching company. She's 80. Well, she runs a healthcare coaching company, she sells like nutritional stuff. Um, but she wanted to build a app that helped track her macros. And I was like, well not just tell me and I'll tell Lovable. As soon as I built it, she was like, How'd you build that? And I was like, Well, I used these words that you gave me and I copied and pasted. And she's like, Can I just have that account? And I was like, Yes, you can. She's 80 and she's vibe coding a fully functional macro nutrition app. That's incredible. And it to the point earlier around like how do we help people? Like it increases the perceived value of her company, her services, like everything gets better because she's now not only is she offering her services, she's like, and I have a custom-built app for you based on exactly what I do and what I say. And so I think, you know, now there's no excuses. You know, like you can build a business, you can create you know, higher perceived value assets, you can use Claude or Copilot to build amazing documents, PowerPoint presentations. Now you just need clarity of thought. So spend some time figuring out what do you want to do because now is the perfect time to actually start doing it.
SPEAKER_01I love supporting people with just that, finding clarity of thought. I actually vibe coded uh a quiz to take you through the process of this like Ben diagram of uh amalgamating your life skills, your purpose. Oh my god, amazing. Yeah.
SPEAKER_00EQ guy like exactly. Oh my gosh, I love it. I want to share it with all the people. I'll send it to you. I love your feedback. Yes, amazing. But that's it. Like, because what's easy to us, and that's true for everyone, like what we think is easy is hard to most other people who are who don't have our lived experience. Yes. And that's the gift we have now, is that all we have to do is describe it to a machine and they can help us get what's in our mind and in our heart out into the world. And like, let's go. Yes, let's go.
SPEAKER_01Well, thank you so much for your time. Yes, so this conversation just flowed so effortlessly, and I can't wait to connect and collaborate with you further. Yes, me too. Thank you for having me. Thank you. Take care. That's a wrap on this episode of the AI Movement Podcast. If this conversation sparked something for you, share it with someone who needs to hear it. And if you're loving the show, writing a review means everything. It helps more founders and career pivoters find their way here. Want to partner with us or bring the AI movement to your next event? Reach out. I'd love to connect. Until next time, stay curious, keep adapting, and move accordingly. If you're tuning into this podcast, you're most likely an AI advocate. And you may have also wondered how to support your body against the invisible stress of EMFs. Think Wi-Fi, cell towers, or hours in front of your laptop. Leela Quantum products are lab-tested and triple blind studies and are proven to help harmonize and neutralize EMF signals. Their products are the few things I felt a real energetic shift from. And I personally wear their quantum energy necklace daily. And if you're someone who cares about optimizing your energy and nervous system like I do, you can explore their offers with my affiliate link in the show notes below.
