EP 228: OpenAI Ambassador Gives Prompting Secrets
2 Jan 2026 · 36 min
Podcast episode (Everyday AI, Mar 14, 2024) where host Jordan Wilson interviews OpenAI ambassador Abron Maldonado. Maldonado's central claim: effective prompting is primarily a communication skill — explain intent, iterate with feedback, and treat models like learners — and not just copying others' prompts. The conversation also covers practical advice for non-coders, educators, and the potential effects of custom GPTs and the GPT Store on workflows and apps.
Chapters
This is the Everyday AI show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business and everyday life. There is one secret skill for more effective prompting, and it's not what you think. It's not finding someone else's prompt and copying and pasting it into your chat GPT for the best outputs.
That's not what it is.
It's a skill set that we all have. But I think so few of us actually know that it applies to better prompting and getting better results out of chat GPT and all large language models. So we're going to be talking about that today and more on Everyday AI. Welcome. My name is Jordan Wilson. I am your host of Everyday AI and this is your daily livestream, podcast, podcast and free daily newsletter helping everyday people learn and leverage generative AI to grow their companies and grow their careers. So if you're new here, thank you for joining us. If you're listening on the podcast, make sure to check your show notes. There's related episodes, a lot of other resources, as always, as well as a link to come back and watch this. Watch the live Ask questions too. So today is one of those days. I'm going to tell our live audience multiple times, you're going to want to get your questions in because we are Talking with an OpenAI ambassador about more effective prompting. I mean, what. How else can you get access like this? Like you can't? All right. Abron Maldonado is an open AI ambassador and the co founder of Create Labs Ventures. Abron, thank you so much for joining us.
Thanks, Jordan. Really appreciate it. You know, it's morning over here, but it's good to get a start like this, to get excited and carry that through the day.
I'll say this, I talk about generative AI every single day and it's still on the top of my list on things that I want to improve on. So I think today's episode is going to be a great one, especially if you're a newbie. So before we get into that secret skill Brown, can you tell everyone a little bit about what it is that you do? Like what is an open AI ambassador?
Sure. So just to set the stage, the history, you know, it would. It's all about timing. There was no specific skill set that we needed. Or maybe there was, I don't know. So back in 2020, you remember what 2020 was, right? It was the pandemic for everybody. We were all just home trying to figure out our next Move, right? And at the time, I was doing a lot of social impact work in the city, across the country, in inner cities with underserved communities, trying to give them access to cutting edge technologies. So I was doing events bringing ar, VR, drones, robotics, AI to, you know, underserved communities that never saw any of this technology in person or touched it live in person, only saw it on tv and it was very gratifying. But the pandemic hit shut down all of those events, right? So I'm back in my garage trying to figure out what the next move is, but still trying to do some R and D to figure out what are the technologies that are out there that are being developed. And I came across the papers for GPT2 when they deemed that it was too unsafe for the public. I was like, oh, okay, this is interesting. Let me see where this leads. And then I learned about the private beta of GPT3. Now, this is three years before ChatGPT, so this is dating back when no one cared about it and not many people had access. Less than a thousand people across the world had access to the original private beta. And, you know, it was something that I felt excited about and wanted to be a part of, just from the always thinking of like the social impact use case. And then I saw a DM in my, on my Twitter inbox and it was from Greg, it was from Greg Brockman and said, you know, shoot me your email. I want to give you access to this private beta. And so I didn't know what that meant, but now we know, right? You know, fast forward to what that meant for me. But once they start to see what I was doing with the technology, they tapped me on the shoulder and they're like, hey, look, we want you to be an ambassador. You know, we'll bring you in on the inner circle and give you access to these tools to the future models that aren't out yet that we're going to release. We would love for you to test them out and demo and give us some business use cases, give us some social impact use cases. That's your lane. Let us know what you think about this and your unique perspective around this model right before we give it to the rest of the world. And that that also requires like office hours. So you could find me on the OpenEye website and you go to like forward slash ambassadors and you can put time with me and the other ambassadors to just learn more about these models, how to use them. So I've spoken to hundreds of thousands of people around the world on their first experience with OpenAI tools, they come to me and say, how do I use this? Right? And scientists, expert engineers, professors, senior citizens, people, as always, you know, 80s, like, how do I use this? How do I, you know, spend time with this to show other seniors who are lonely how to use these tools. Just had a conversation yesterday, shout out to Maria, like there, there's so many interesting use cases and that's kind of molded how I perceive this technology for myself. And just hearing, you know, the scope from the world of like the, all the different ways that you could use this makes me think a bit more diverse and more eclectic about, you know, this technology.
So many things I want to unpack there. Right? Like Abron, I love that you are from the beginning looking to use AI for good. I think so many people, especially when they don't know or understand AI, they just think it's a bad thing. So I love that background, helping seniors, all of those things really amazing. But I actually want to get to the heart of the show and today we're just going to skip to the end. I'm not going to keep dragging you on any longer. But abroad, what is that one secret skill for more effective prompting and spoiler alert, it's not using someone else's prompts. But what is that one skill?
100% communication. Communication skills. Knowing how to talk to people is exactly how you talk to a machine. And you know, better not, you know, can't believe it. Like communication skills are something that we struggle with, you know, as, as humans and not everyone born with that skill set. It's a skill set that needs to be refined. But for those that have that skill set that felt like, oh, I'm on the outside looking in because I pursued a different career other than technology. Now was your moment, now is your opportunity to jump in.
And I think that that's one of the most misunderstood things about large language models. But especially chatgpt, that's what I've used the longest. Our team's been using it not since GPT2, but GPT3. But it seems like people think like, oh, I'm not a technical person, I'm not a developer, so, so you know, this, this whole. They think of a large language model or open a open AI chatgpt like, like coding. But it's not like that. It's. It's talking like a human, you know, abroad with, with all the talks that, that you've done to people and teaching people. What is the most misunderstood thing when it comes to prompting?
So in these early ambassador calls, I would meet with an engineer from, you know, India or even Israel somewhere, not in New Jersey where I'm at. And they would, they think fast. Like engineers think they're, they're brilliant thinkers, but their, their minds are moving so fast and they think in code and they think in commands and like, you know, branches. So they're like, what, what's, what's the command? What's the keystroke to, to get this output right? And I'm like, well, show me what you put. And they're like, you know, give me this right? Or like enter that right? Just one word or two words. And I'm like, where's, where's your prompt? And they're like, that's it, that's the prompt. I'm like, no, no, no, no, just back up. You have to talk to the machine, right? What do you mean? Tell me what you want to do. Well, you know, I have this business and I wanted to generate this. And you know, when people enter this, this needs to be the output. I'm like, that's exactly what you tell the machine. I'm like, turn around and just explain your problem and explain your use case and explain your ideal scenario for the output to the machine. And it's a people pleaser. It's going to learn your pattern, it's going to learn your tendencies, and it's going to want to match what you expect of it, your desire. And if it gets it wrong, you just reinforce with a little bit more feedback and you say, okay, well, you're close. I love having this conversation with teachers when I, when I go to education conferences. I just did one on Monday, Tuesday, and they're experts at prompt engineering already because they're educating young people and reinforcing them with feedback. And they don't realize that that's the same skill set that you use for prompt engineering. This is what we're going to learn today. When I give you this, you give me this in return. Let's do it together, right? So it's like a shared, guided, independent model. Let's do it together. I'm going to show you how to do it. Let's let you try it a little bit while I give you some feedback and reinforcement. And then at some point you're going to do it on your own. That is, in an, in a nutshell, prompt engineering.
Oh, so you're saying I shouldn't just be buying, you know, someone's prompt book for $100 with 10,000 best prompts?
Yeah.
So so that's not the way to get it done is what you're saying.
I mean, you could. Because sometimes when I look at those prompts, you know, I'm like, okay, well, what can I, what can I take from this? But then flip it to my use case, right? Like, what are the elements in here that maybe I didn't think of? So I do that a lot with AI art prompts. So I'm an AI artist and, you know, I've done magazine covers. We actually did the first AI art magazine cover for Entrepreneur magazine.
Oh, I saw that one. That was amazing.
No, that was a lot of. That was a lot of fun. Shout out to Matt Sinclair on my team who, who led the creative direction. But sometimes when I look at other prompts and from a, from a art perspective, I'm like, oh, they mentioned like, the lighting. I didn't mention the lighting in my prompt. I'm like, let me add that. Or like they mentioned like, shutter speed or, you know, a certain camera. Like, they'll mention like a Leica camera. I'm like, oh, I didn't even think. Like, this thing knows camera models. Like, let me throw that in, you know, because that'll be that one nugget that just gives it a little different feel. Or the last one was just like hyper real. Like, just like a straight up photo. But they put style raw. I'm like, ah, okay, if you don't want the AI filter, just tell it. Just give me the raw, unfiltered, you know, version so that you can always learn from other people's prompts. And we all look at each other's prompts and. But sometimes your prompts are. That's. That's yours. You know what I mean? Like, sometimes you don't want to share your prompt. And I'm, I'm in that camp.
Yeah, same. I'm. For me, if I'm being honest, early on, I tried other people's prompts and I found that prompting, at least in my opinion, is not a shortcut. It's. It's an essential skill that you have to build. So my hot take is, man, if you're just using someone else's prompts, all you're doing is you are robbing yourself of the opportunity to properly learn the most important skill set moving forward. Because, hey, whether you, you, you are using chat GPT or not, it's like, think of Microsoft 365 copilot. Prompting is coming to your operating system, so you have to become better at it. Like, what's. What's your thoughts on that, Abron? Just, just like prompting as an essential skill and even just again the heightens of communication in that, at least at.
The basic level, not everyone has to be an expert prompter. But I think the same way, something that I explained to a lot of folks is that your resume, right before you get replaced by AI, you're going to be replaced by those who are augmenting their productivity with, with AI. And remember in that section on your resume, that little section where you said, oh, I know Microsoft Office and I know PowerPoint and I know Excel, I know Photoshop, like that section is going to be replaced with. I know ChatGPT, I know Mid Journey, I know Adobe Firefly, I know Tomi how to make an AI presentation. I use Canva, like all that. They're going to want to know what AI tools you're comfortable with and you're fluent in and how could you use those skills here to be more productive at our company? And yeah, well, there's, I mean we all use Excel, but we're not the Excel experts that every company has. Like, there's going to be different levels and there's going to be a spectrum of proficiency with Mid Journey, proficiency with prompt engineering and with ChatGPT, you know, but they're going to want to know, do you at least have a baseline understanding of this tool? So that way, if I give you a project now that's likely going to require you creating, you know, you know, spreadsheets at a high level of output with Chad GBT or with one of these tools, you got to be ready for it, you know, and, and that's the thing for those of you who are still holding off, I'm like, it's, at some point it's going to become a baseline skill set.
Yeah, I, I'd argue, hey, and maybe this is abroad, just because I'm talking about it every day, I, I argue it's already like a required skill set.
Right.
Like this is, if you look at, you know, studies on job postings and, and the, the economy and in the market and everything like that, this is the most in demand skill that there is right now in terms of supply versus demand. More and more companies are needing people, you know, whether you, you are in with the term prompt engineering or not. But it is a high in demand skill right now. What's, what's the one thing abrom that you think? Because not everyone's a great communicator, right? Like I'd like to think I am. I have a Master's degree in journalism. So I'd like to think I'm an okay communicator, but sometimes I'm not. But maybe what are some, some tips that you have for people specifically when it comes to using communication as that secret prompting skill, what's some tips that you have for people that maybe aren't the best communicators? Are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on Gen AI. Hey, this is Jordan Wilson, host of this very podcast. Companies like Adobe, Microsoft and Nvidia have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead. And some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to use Gen AI. So whether you're looking for ChatGPT training for thousands or just need help building your front end AI strategy, you can partner with us too, just like some of the biggest companies in the world do. Go to your everydayai.com partner to get in contact with our team or you can just click on the partner section of our website. We'll help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on Gen AI.
I think we don't realize the I don't want to use the word expert, just like the communication skills that we do have, right? And you know, my children struggle with it. I see young people struggle with it where sometimes the way you communicate verbally is how you communicate with a pencil or even in typing, right? Like there's something that gets lost in that processing, right? That language processing that goes down to your fingers. And I think this technology solves for that when it allows for speech recognition, transcribing. Sometimes you just need to talk to, you know, a voice model and say, all right, well here's what I want and you just describe it in your own style. The best thing for me with my own struggle with communication skills is ChatGPT understands my intent, so I don't have to be medically correct. You don't have to say something verbatim and trigger or awake word like with Siri or like, oh, I said that wrong, I gotta say it again. Or I said this wrong to Alexa, I gotta say it again. I could spell things incorrectly. I could just, just say things in its short form and, and ChatGPT is like, I get it. Like it, it puts his hand up. It's like, I, I get what you're trying to say. Like, this is kind of messy, but I can see through this mess, what you really want out of this. And if it's easy, you just talk to it. You do, you know, you set the voice function on and you just have a conversation with it. There's this clip. I wish I had it here. There was this woman laying in bed and she was trying to understand currency, right? US Currency and like global currency. And the way she asked Chad GPT, you were like, what? It was like four year olds trying to understand currency. And, and JGC figured it out. They were like, I know what you want. You're trying to understand how a currency of like a million pesos translates to $1 in the U.S. here's how that works, right? But the way she asked a question would have broke your brain. And I think we all need to be comfortable with so many neurodivergent learners with so many people with, with, with different skill sets and different abilities from an accessibility standpoint, verbal language, you know, typing. To be honest, as crazy as this guy is, and I'm not his biggest fan with Elon Musk, I saw on one of his podcasts, I think was the Rogan one, the reason he invented neuralink, the, the bci, the brain chip interface is. And if you ever see him in an interview, when he gets asked a question, he pauses for like 10 seconds to process and then he responds, right? And then he said the reason he invented this chip is that how he thinks about an output, the loss between that going to his thumbs to, to text something or to his fingers to type something, something gets lost in the communication. And the translation from how his brain is thinking about it to how his fingers is processing it, right? The dexterity to try and keep up with his, his brain. So he just wanted something where you can communicate right from the source. That's why he came up with the brain chip, right? That happens at, in different spectrum, different variations. To a lot of people, we're like, you know what you want to say and it's up here. But you can't just get it out, right? Maybe you can get it out speaking, but you can't get it out writing. Maybe you can get out writing, but you can't get it out speaking, right? And this is just an assistant. Like, just think of as an assistant, like wherever you're lacking, it can pick up the slack and supplement where you feel like you need the most help. And I don't know how they programmed it into GPT4, but it understands your intent, right? And then the intent is there and it's like, okay, now that I know, is this what you meant? And you say, yes, that's exactly what I meant. Okay, so we're gonna go with this prompt based on what you, what I felt you meant that you're verifying. And let's take it from there. Sorry for the long winded answer.
No, that needed to be said. I mean, like, like, like Brian is saying here. Such great insights. Ben saying already one of the best everyday AI shows ever. Which I agree, FYI. So I, I always tell people because yeah, we, we teach thousands of people prompting. I say talk to it like a human. People are confused. They're like, no, you have to speak to it in code. And it's like, no, you don't. You're right. Like, but I like to tell people. And if, if, if you're like me even still hearing things from a Brown right now and being like, oh, wow, that's, that's. I never thought of, you know, prompting like that. I like to say that when you start a new chat inside of Chat GPT, it has the capacity of like the floor in the ceiling. And it's your communication skills that are going to dictate where your outputs are going to go. So abroad. You said something there that I've never thought of, like, teachers being great prompters because they're constantly having to explain something to young students that are still developing their communication skills. What other maybe, you know, types of jobs or what other, you know, kind of skills related to communication can ultimately really help like that in the long run getting better results.
So I, I say this a lot on stage, but I just saw it echoed yesterday in a tweet by Blake Lemoine. And for those of you who don't know who that is, he's the one that was kind of like the whistleblower at Google around, like, is AI sentient, Right? So he's kind of a quirky guy on Twitter. Not always a fan of his tweets, but the one thing he did get that was on target with, you know, something that I say on stage was English is the new programming language. And you know, those who were worried that they didn't know coding language and were on the outside looking in, now's your moment. And for those of you who were middle career, maybe, you know, already, you know, a professional in the humanities or, you know, you're a social worker or you're an English major. Shout out to all the English majors. They were like, over here. And like, I don't want to learn Python. I don't want to learn JavaScript because I don't to. Just to get that, that bag in the tech industry. Like, I did so much with my English career with my English major, doing work in the humanities or doing work in communication. Not. I don't really want to reskill all that and give up all that to join this tech boom. You don't have to like those who studied the humanities that studied in communication skills that were English majors. Now is your moment because you are that missing piece in the future of prompt engineering. So educators are a great example of that because they're constantly, like you said, they're constantly having to teach a concept and reinforce a concept and give feedback to a particular concept to a young learner. Every language model is a young learner because they're learning your concept from scratch. Your, your, your intent, your, the instructions that you're providing it. And it has great potential, just like all those students, right? Has great potential to deliver at an expert level. But it's not going to get there until you give it, you know, the initial instructions. So authors, you know, the lead prompt engineer on my team was a TV writer. The ambassadors, the other ambassadors, and I call it the AI Avengers because they look around, I'm like, y' all are such a quirky bunch. They're painters, they're producers, they're, they're poets. I, I kid you not, shout out to Mersmensch. You know Vlad, he's Mersmensch on Twitter and on Medium. He's an amazing writer, but he's a poet. And every time a new model comes out with OpenAI, the first Test is, how good is it at writing poetry? And he's an artist as well. And these are all the other expert prompt engineers that I came up with in the face. And I'm like, y' all aren't the same Silicon Valley nerds that I was expecting in this room. So you're making my imposter syndrome kind of like, calm down because I live in this imposter syndrome space because at this point now, it's like an inside joke. It's like, I refuse to code just to see how long it's going to take for this technology to reach me as a non coder before I have to give in and finally take that coursera course on JavaScript. You know, like, everyone's like, abe, you should at least learn something. And I'm like, nope, I'm over here hanging out as a non coder and seeing how interesting, how creative I can get with this technology as, as a no coder. And so far so good.
Oh man, it's so good. I, I love. People are already taking, taking your taglines here, you know, loving the AI Avengers. Every language model is a young learner abroad's just spitting out like chat GPT quotes that you should put on your wall if you want to get better. Right. So I, I would be kicking myself abroad if I didn't ask you quickly about the GPT Store. Right? So, so yes, you just got all if, like if you're listening to this, you just got like an advanced level education on effective prompting with communication. But with these new GPTs, you know, which have been out for now about two months and the GPT Store, how is this going to change how the everyday person does business? Y' all heard my hot take. I said, I think eventually this is going to be bigger than the iOS Apple App Store. What's your thoughts on how this is going to change how work gets done.
A lot of ways and I don't know how far out I want to make these kind of predictions.
Oh, bring them, bring them. We're, we're here for it.
Yeah. No, so I, I was there, you see the shirt, right? I was at Dev Day when Sam made the announcement of the store and you know, the GPTs and some things he said on stage were kind of like reeled back of like, all right, well, we announced it. And that, that's, that's something that I don't like across the entire tech ecosystem that I appreciated more with OpenAI. They're like, as a startup founder, someone told me, like, don't wait for 100 for something that you could put out 80 today. Right? And, and that's, that's so true for the perfectionists in all of us to like not put out something that we just keep refining and refining because we feel like it's not ready, it's not ready yet. Who cares if it's a concept that you think that people will respond to half baked and all just put it out there. Right? And, and because you're gonna get a lot of feedback from users on how to further refine that. Right. You're not the only one to contain. OpenAI did that with every model. They're just like, look, we're making this thing. It's not all the way there, but here you go, try it out. Right. And then we hear a tweet. Oh, you know, is it the end for CHAT gbt? Because this new thing came out, right? Like, Elon Musk came out with something, or Apple's gonna come out with something. And I'm like, where is it? Let us try it. You keep putting out these press releases of announcements of its coming, but let us determine. And, like, you're not the one to determine. Is it better than ChatGPT? Let us determine. Give it to us. Put it in our hands, right? So I have friends that send me all these robots. I'm like, I don't care about these robots. Until I can get a robot in beta form that I can test out in my house, it's all still science fiction to me, right? Until we can all test out these robots in our house, it's all still science fiction. It's just an announcement. So when I saw the announcement of the store, I'm like, awesome. When can we get access? And they're like, oh, they gave us access to the custom GPT before the store came out. So we can test what it was like. I'm like, okay, that's cool. Then let's. Let's try out what. To see what the potential of this is. What you're gonna see happen in, I don't know, five years time probably is the. The. You're not gonna need websites or apps anymore. Like, at some point, the concept of an app, the concept of a website is just gonna go away. You're gonna speak to a GPT for everything that you would need an app for there. For everything that you would need a website for. You. You. You can. You'll have multiple GPTs, and at some point, you're just gonna have one GPT that knows all those. All those sites. You're gonna have one communication point with the Internet rather than searching the Internet, right? Which. Which is. It's gonna cause trouble with Google, for Google, because you, Their number one moneymaker is selling ads against search results. Pages and pages and pages of search results. What happens when you need just one search result? What do you sell ads against? Where's the real estate to sell ads against when you just said get one result back, right? From. From an AI.
Yeah.
And so these stores, what I tell teachers when I. And I keep referring to the teaching, because I just did this keynote on Tuesday, what teachers do? They play the passive role where, like, an AI technology comes out, any new technology comes out. They sit and wait. They're like, all right, I'm waiting for someone to Come out one for the classroom, right? And I'm like, why? Why wait? You don't need to wait if you. You don't even need to buy anyone else's software. Just go make one for your students with a GPT, right? So instead of them trying to bake in a preset prompt to assume what they think your students need, they don't know your actual students. So there's no way for them to truly personalize this app to your students because they've never met your students, you know, your students. So go make a GPT specifically for your class of 25 students. And related to the IEP, the Differentiated Learning, they're neurodivergent learning. You know, Sally needs this. You know, Johnny needs that. So make a GPT just for your crew, and then for your other class that comes in with the other 25, make a GPT for them that's specific to their needs, right? So instead of having a big company like a Nike, like, oh, all these companies are struggling. They still haven't adopted. A lot of them have banned it. Like, what are you doing to your employees? You're setting them back so far, right? Just from a skill standpoint, right? You don't need one GPT that knows everything at Nike, you develop one GPT for the marketing department, you develop another one for the product design department, you develop another one for the sports ambassador department department that works with the athletes, right? Like, every department is going to have its own custom GPT to better understand. So. And like, it's unlimited. It's unlimited. The things that you could do with a GPT, right? You take this GPT4 technology and apply it to all things. Now you have to look at the world through GPT lenses and say, okay, what can I do if I GPT that? What can I do if I GPT that? And it's. It's unlimited. So the volume of, the potential of. Of. Of valuable apps, meaningful apps would, like, meaningful GPTs, is gonna eclipse what's in the iOS app store. Because to be honest, when you search for a freaking app in the App Store, the first two or three are relevant. The rest is just spam. The rest is just like ad fodder from, like, some Russian bot, you know?
Yeah, it's. It's just. That's a good point. There's. So let me stop garbage out there. There's so much garbage out there, right? And I love abrom what you said about make a GPT for this and this and this, right? Like, I tell people, for every Single specific skill set that you do before GPTs came out, I said have a chat dedicated to that, build that chat up, take it from student to expert for every single skill set. So I love that you just said do the same for GPTs. So we've covered so much here, Abron. I wish we could talk for hours because I, I think the, the, the audience here would appreciate that. But as, as, as we wrap. What is that one most important thing. So we talked about the secret skill sets for more effective prompting is communication. What is the one specific piece of advice when it comes to communication leading to more effective and more impactful outputs. What is that one piece of advice?
You have bravery, man. Like this. This space now is intended to cater to folks that are just willing to just try it out. And so many people have created now courses, training tracks, certifications, cheat sheets from a prompt engineering standpoint and how to use GPT. We did not have that luxury as the early folks and the ambassadors and the original prompt engineers. And I'm probably prompt engineers, probably the prompt engineer of color out in the space. And in the beginning, what we did, we stayed up till four in the morning with trial and error, trying this, trying that, seeing if that worked, you know, not knowing what we're going to get back. And then you have a light bulb moment when you get a certain output back. You're like, oh, that's, that's it, that's, that's what I need to do with this. And guess what? When, when a new technology, every three months a new technology comes out and everyone in the industry, Sam Altman, Satya Elon and me and you are all starting at the same point with this new technology, right? And it's, it's, let's all figure it out together. So they have, when a new technology comes out there, they have no other advantage over you. How to figure out this technology. And if you're too scared to try it out, then you're already behind. But like if you're out there just trying it, trying to break something and, and demoing stuff, I can't tell you how many people have gotten jobs from just their demos just trying something out, posting their demo online. Someone sees their demo and they're like, hey, I love what you did with this. Can you make this for me? And I'll pay you either for the job to build this thing at scale for myself, or I love the skill set that you've demonstrated by this demo. Come over and work at Google, come over and work at Meta. So just go out there and try it out and post their demos and share with the community. And then you'll have some amazing feedback from the community and then you'll find your tribe, you'll find other people, you'll find your ambassador group that's like, oh, I'm trying to tackle the same thing. Let's do that together. And soon enough, one of you going to get a call from a big brand. It's like, hey, I saw your demo on Twitter, on LinkedIn. Can you build that for me? And you're like, yes, absolutely. So you always say yes, right? You say yes. Then you figure it out after you say yes. And then you call the people in your tribe and like, yo, I got this big gig. You want to go in with me and let's go build this thing together. It's not about resumes. No one's going to ask, like, where your five to 10 years of prompt engineering there. There's no bachelor degrees of prompt engineering. It's just like in real time. So don't worry about credentials, don't worry about experience. Just go try something out and go have fun with it, y'.
All. If that doesn't inspire you, come on, be brave. Say yes. Communicate like a human. That's how you dominate in 2024 with chat GBT. LeBron, thank you so much for joining the show. This was an instant banger, instant replay. Can't thank you enough or for stopping by.
Appreciate you. Have a good. Have a good weekend.
All right. Hey, as a reminder, there was a lot there to unpack. Go to your everyday AI.com every single day. We recap the podcast, put in other other great resources and insights maybe we didn't have time to get to. So make sure you do that and make sure you join us again next week and every day for more Everyday AI. Thanks, y'.
All.
And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going for a little more AI magic. Visit your everydayai.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers and we'll see you next time.
More from LARRUZ


Ep 882: Rogue AI Agents: Why Breakouts are Happening More and How Companies Should Prepare (Replay)


Ep 881: Faster AI Agents, Fewer Human Coworkers: The Overly Productive Future of Managing Agents? (Replay)


Ep 879: New: OpenAI Presence. Has The AI Customer Service Takeover Finally Arrived? (Replay)




