41: Using AI for Disrupting Business Models with Joshua Pellicer

This podcast episode is sponsored by chiefaiofficer.com offering training and certification through the International association of Chief AI Officers. Interested in a new career or leveling up your value in the marketplace? Chiefaiofficer.com can help. Welcome to Using AI at Work. This is going to be a fantastic episode. I had the opportunity to sit with Joshua Pellisser, founder of Real Time AI and also the producer of the World AI Summit, which I had the good fortune of being a speaker at in June of 2024 in Austin. Joshua happened to be in Austin, visiting, working on a project, and I was able to get him for about an hour and we sat down and had a fantastic conversation, really, about where he sees AI going, some of the cool things that he's doing, and the future of work. So with that, let's get started. Welcome to Using AI at Work. I'm your host, Chris Daigle. Each week we'll be learning how today's business owners, entrepreneurs and ambitious professionals are getting more done with smart use of tomorrow's tech. Let's get started. Okay, everybody, I'm actually really excited to have Joshua here. It's a rare occasion that we're in the same location. The only time that's ever happened before was at the World AI Summit, I guess.

Yep.

So that's an amazing opportunity here. So anyway, normally I bring on guests and we have a very specific agenda that I'm looking to extract some certain information from them. But with Joshua, because he's working with so many different individuals, so many different industries, and just has such a broad understanding of how generative AI is being used in businesses, I figure we're going to start here. Joshua, what's got you excited about generative AI?

Yeah, so lately, let's see. I mean, every day there's something new coming out. It's really neat. And you can see these projects sort of building over time, gaining momentum. The two things that I think are probably the most exciting for me are the open source community is unbelievable. You can go on hugging face, you can go on GitHub, and you can find amazing entirely built programs. And they're early stage, sort of nascent programs, but you can customize them, you can upload them yourself and use them. I think this is going to seriously disrupt the program for sale business and industry. Right.

Tell me more about that. Like first off, most of the audience that we have tends to be non technical.

Yeah.

Do you consider yourself technical?

No, I'm not technical at all.

So you're able to do a lot of this early stage AI powered SaaS essentially, and not be a technical. Yeah, individual.

That's right, yeah. And this is the biggest shift I've ever seen in, in business opportunity. We kind of knew that going into this whole thing that was going to be like that because it doesn't take very much for you to see, you know, you see a few different things that are happening out there and it blows your mind and you use it for your own business or something. It changes everything, right? So it's not very difficult to imagine this is going to be the biggest thing that the world has ever seen, business wise. However, it takes time for it all to roll out to the right and to be developed in the right order. And as that starts to happen, and it's only been like what, a year and a half or something, two years maybe max, that this whole thing started, the generative AI started happening and you'll get now like a text to app or text to program. Fully, fully functional deployed website or program that is custom, exactly how you want it to be. For like $15 a month you can build as many as you want. You know, cost you pretty much nothing. I got that on Replit. So if I'm not associated with this company, but I love them. Yeah, Replit is, you know, you deploy your own websites and put your own. And not just like websites, it's not really for websites, it's for apps and programs, right? And you put your code up there. And in the beginning I was like, oh, holy shit. Like I can actually, you know, go into chat, GPT, explain a program that I want, I'll tell me all the files I need and then it will write the freaking code for me. And it, I can copy and paste it over and put it and it just tells me what to do. So in like maybe three, four hours, I have a basic but working version of a program. And I was like, whoa, that blew my mind, right? That was totally crazy. But then Replit came out with this agent and the agent has access to all of the functions and API functions of Replit. So that means that you're gonna see a lot of this coming up, right? Agent interaction for programs instead of user interface interactions where you just talk to the thing and you, and you give it feedback and it starts updating things. So now I can go in and go, hey, I want a shopping cart system, right? Custom shopping cart system. I use these APIs or suggest some APIs for me and it will tell me what to do, it'll give me a link. I can Click on to go find an API key for that thing. Some of them I buy and some of them I don't have to. It'll be way cheaper than anything else I've ever seen. It's custom, so now I can make it do exactly what I want it to do. It's bespoke software, and all I have to do is jump into Replit, tell it what I want, it'll launch the agent, and the agent starts writing the files, naming them and putting them aside, and you can see it pop into the folder. Boom, boom, boom, boom. And then it's like, okay, now it's time to run it. Boom. It runs it. And you can see a user interface. It's mind blowing. Like, I've never seen that before.

What was the first application, like, where you had success? You're like, I want to try this. You use the tools and you end up like, wow, this is working for Replit or just for any of these. Talking about now.

Yeah, Coda. Coda was the first one to blow my mind, in my opinion, right? So we did this thing. I'm not sure if I told you this. I think we probably told you, but. But people don't really know that we did this. When. When I first started coming out, Generative AI, my business partner Peter and I, we. We didn't have the company yet. We were just kind of into it and just so nerdy about this whole thing. It was so cool, right? But the thing. First thing that really blew us away is that we're like, you know what? We're going to use AI to help us launch a business in a day, right? And, like, cool from idea, from scratch. So we're like, all right, well, we're two dudes. We actually had four guys, but two of the guys didn't have to do anything because we didn't need their help, honestly. But we just had me and Peter really doing all the work. So we're like, okay. We started in the morning, woke up like, cool, this is our sprint day. We went on to ChatGPT. Our friend, what he does, he went on ChatGPT and said, I want to make a business that I can sell to Millennials. Here's the amount of money I want to make. What should I do? And it was like, oh. One of the suggestions was, you should make an app that sends a text message every day with something positive, right? And they'll pay, you know, whatever amount of money, like small $8 a month or something, to receive daily positive affirmation texts, right? And These are sent out to everybody. They're not like, you know, custom texts. And so we're like, cool. We got a name for it. Like, we're going to go for it. So that's the idea we took. But the only rule.

How long did that take? Minutes.

Yeah, that took. That took 10 minutes for him to do that. The only rule was that we were not using AI as an assistant. We were the assistants for AI and that's how we looked at it. Everybody, me and Peter both were just like, okay, it's going to tell us what to do. We're going to be the workhorse for AI. We're going to follow its plan, not our plan. That was a really big, important distinction because we wanted to prove something here. Right. So we sat down that day to do it, and six hours later, we were done, fully functioning. All the marketing written, the website was up, the program worked. All the APIs were connected. We had a checkout page. Everything was linked together. And we had our first test. And it worked. Right. So we signed up, we got a text, and every day after that we would get these amazing texts. All the texts were written with AI.

Yeah.

Yeah. And then it was $230 to do it.

Wow.

Then. And it took us six hours, right. Then two days later, somebody posted it in a. Like a WhatsApp group and said, guys, check this out. These guys built this for. It took them six hours using AI and we started getting signups. People were like, ling, ling, ling. And they're buying it.

Nice.

Then a week later, we had an offer to buy the company for $50,000. And it was just a joke, you know?

Yeah, yeah, yeah.

I mean, it was a great product. Honestly, I love.

Yeah.

I wake up in the morning, look at Smile.

Yeah. Yeah.

A couple reasons why. One was that it was a beautiful thing to see.

Sure.

The other was that it reminded me of the kind of world we live in now.

Yeah.

Every day when I read it, I go, wow, this took us six hours. And it's a fully functioning business, you know, impacting lives. Yeah. It's crazy.

Yeah.

So I. I was blown away by that. That was the first thing. The second thing that blew me away was I was doing coaching at the time. It was like coaching consulting. And then.

Yeah.

And then I was kind of getting back into the world of coaching that kind of groups, you know? And I did that forever. And this was. This was, you know, me picking it back up again. And I decided to make a program. You know, it's like, not. I say program That's a really. Yeah, that's like too much generous term. What it is. It wasn't really that. It was like a spreadsheet with the mind, you know, with an AI mind. And I used Coda. Coda was. Is amazing. It's my number one tool. It's like a spreadsheet and a. In a. And a word doc together.

Ballpark. What are you paying per month for coda?

15 bucks, something like that. Okay. You know, maybe 30. I can't remember if I pay 30, but between. Not negligible. Nothing. Yeah. I make so much money from Coda.

Yeah.

I mean, it's got to be the greatest investment that I have. Is that $15 a month or $30 a month, I turn into over $100,000 a month.

What is Coda intended? Like, what. What's its stated intention for its use?

That's a great question. I think that what they were doing originally was just having a place for you to dump all your ideas.

Okay.

Right. And organize everything. Right. Kind of like notion.

Kind of like notion.

Okay. And then I think it was actually a spin off of notion or something beginning. But then they did something really wild, which I think is, if you're gonna. If you're gonna, you know, get a new app right now, an AI app, and you're like, which one's gonna be around in six months? There's a. There's a way you can tell, right? One of the ways you can tell is, is, does it let you make API integrations, or do you have to wait for them to make integrations? If you have to wait for the company to make integrations, it's not gonna be around. No matter how great it is, at some point someone's going to get annoyed. They want to. They want to put these apps into workflows. They don't want to.

Yeah, yeah.

You know, they don't want to have to go between this page and this page and this page anymore. No one wants to do that anymore. It's. And it's coming up now. You can see it's like, well, this is really cool, but I don't want to go to your user interface. I want an API and I want to be able to put it into my machine and go, hey, whenever you're done writing this thing, then go there and make a video for me and then go here and post it on Twitter. You can't do Twitter. But, yeah, Facebook. Right. And then I just jump in, push a button, and it's. It does the whole thing. That's What I want, I don't want to sit there and, you know, I don't want to work the same amount every day and get twice as much done. I want to work a 10% of the amount every day and get 10 times the amount done. Yeah, it's not acceptable anymore to just like, shave off some hours. So what I did is I was like, you know, I love coaching and training people people so much. It's like my favorite thing ever. And. But I. I need to charge a lot in order to do it, and I don't have time to follow up.

Yeah.

So they're kind of floating around in between calls, like. And I was doing, you know, twice a month or once a month calls with people, and they'd be totally different place when I talk to them the next time.

Yeah.

So here's what I did. I said, all right, during our call, I'm going to record it. As soon as it's done recording, I synced my Zoom recordings and transcripts with coda, which means that now whenever something happens on Zoom, the transcript pops up in coda on a page that I made, right? And I was like, cool. That was easy. I just clicked a couple buttons, put my password, and done, and it pulled them all in. Super simple. Then once the transcript was there, I said, hey, if something shows up in this. In this box. Yeah. Then I want you to. I want you to push this button. And the button would take the transcript and send it to AI and the prompt that I had is the same prompt every time, Right? Because you can customize the prompt and hard code it in. It was, hey, this. This person is being coached. Inside of here is. Are all these implied missions, like, these implied goals they have. So I want you to extract their number one goal from this conversation. So it did. Boom. And their goal is when one of the guys was, I wanted to learn how to be a barber, right? He just. He just. It's what he wanted to do. Like, I was asking him, hey, what if you didn't have to work, you know, and do anything else and you had all the money in the world? What would you want to do, you know, for fun and, like, what talent would you want to develop? And he was like, surprise me. He's like, I want to be a barber. Great. You know, I'll probably never need you. But. But he should do that. He was scared to do it. So I said, cool. Next thing that happens, it took that. That goal, and I said, here's the transcript. Here's their goal. Now I want you to make 15 different micro steps that get them one major step closer to their goal. Right. Not all the way there. Right.

Yeah.

So it made 15 micro steps, and then I said, cool, now turn all 15 of these into text messages, short ones. And say, here's your daily mission. And then it did it. And I just made a system. Every day, it would change the number. Like, every day, it would count a number of days that they had joined. Right. So every day it's like nine, 10 days, 11 days. And it would read the number, it would look at the list, it would find the number of the text message, and then it would. With Twilio, which is integrated. Right. In Dakota, it would just send them a text message in the morning. And then they got this thing that said, hey, here's your ultimate goal. Right.

Very valuable.

So valuable. So I'm. I wasn't selling coaching forever. Right. So I came back into this, and I wanted to have a. A trial group. So I. I lowered my price a whole bunch. Right. Just the way they do it. So I was like, okay, for a thousand dollars a month, I'll coach you. I'll have one meeting with you. And sometimes I had two. Cause I was testing that out. And then I'm using AI to follow up with you. They're going to send you text messages, but it's going to be your mission. Yeah. It's not going to be some random text message like, hey, buddy, have a. Don't. Have a good day. Have a great day.

Yeah. Yeah.

And like, it's going to be something that's going to help you get what you want. And this blew my mind. First off, guys were like, great. They didn't care at all. They didn't care that it wasn't me texting them. They just wanted something to say.

The accountability or the structure. Yeah.

To keep them on their track and everything. And once a month, they got to talk to me. Right. So it was effective.

Yeah.

But. But what really blew me away was how much progress these guys made. They were unbelievable. They were the best students I've ever had. In between calls, the next time I call them, they'd be like, oh, my gosh, you're not gonna believe what happened. I did what you instructed. The missions that I got. I was in the middle of doing my mission for yesterday, and someone asked me if I wanted to be an apprentice to them as a barber. I did not go to school. I got to skip the entire thing. Like, whoa. He was blown away. And he's now apprenticing to Be a barber. And I. I could. I didn't have to do that. And if I just had that one meeting and told him, you know, you want to be a barber? Right. He would be like, cool. Then he'd wait a month and he'd be like, I didn't do anything, you know?

Yeah.

But this kept him on it. So that was $1,000 a month. They were stoked to pay it. I probably could have charged a lot more than that.

Yeah.

But anybody can do this. Now. If you're. If you're a coach, all you have to do is get a CODA account, figure out a couple of things in coda, and then set up your own system and. And do that. You have your meeting, it dumps in. You push a button if you want to go review it. Review it. I would. In the morning, I was reviewing it all, and then that's it, man. Send out the text messages to everybody automatically. And it worked amazing. So there's a bunch of stuff like that that started blowing my mind. Right. Then I made a Joshbot where I was telling about this Josh bot had all of my knowledge base. Yeah. Everything I've ever written, all the. All the transcripts of all my coaching I'd ever done, both in AI and in attraction and dating, stuff I used to do a long time ago. Then I started picking up again because now I can write books with AI So I'm like, I've always wanted to release this book about this thing, so I did that too. And it's super duper fun. Right. So I grabbed all my old content and have all these guys in a group, you know, thousands and thousands of guys that are interested in talking to me and asking me questions, but I don't have time to answer all their questions. And, like, I'm actually more excited about AI than anything else. And I don't really want to be in there talking. Yeah. But I want them all to get their questions answered, because if they. If I don't answer their questions, they're going to go elsewhere, and that advice is going to be maybe nefarious.

Yeah.

And I want to actually guide them. So I was like, cool. How about this? I'm in here. If you don't hear back from me, just. Just click this link and talk to joshbot. In the beginning, they were like, okay, you know, I'll check it out. And they would. They found some bugs and told me about it, and I would fix it. Right. And then after a little while, though, I remember the first time this happened. I was Like, a guy had a question. He's like, you know, hey, what's wrong with this? What am I doing wrong here? And it was a complicated situation he was in, and I didn't see it in the members there. I was. I was not present. I was out doing other stuff. And I was out doing AI stuff. Right.

Yeah.

And also, of course, we have an amazing AI training company now that. That's where I was spending my time. Yeah. So I was. I was like, oh, I didn't see this. Right. It showed up. It was like, two days later. And this guy had no idea what to do for, like, two days. Right. So I get him like, oh, I gotta answer this question. I was stressed and like, man, I only have a couple minutes to do this. I jump in and I see a thread, and the thread goes, hey, I have this situation. It was long and just read. It was, like, too long for me to read it. And then I saw the comment underneath. It said, hey, why don't you try joshbot? Someone. Someone else in the group. And he goes, oh, what's the link? Here's the link. He clicked the button and he goes, oh, great. It perfectly answered my question. And the guy was like, what did it say? He goes, boom. And he posted the comment. And I was like, what have I done? Like, I actually took all my expertise.

Yes.

And I gave it away with a link. And it worked.

Yes.

Worked. And it works. Complicated stuff. And it was only about two, three weeks later that I checked my API usage for that bot. And I was like, whoa, someone is going crazy in here. They're like, you know, talking to this thing all day, every day, and spending like, $40 a day. Right? And I'm like, that's.

That's a lot of API calls.

Yeah. Yeah. So I. So I reached out, I was like, hey, I love that you love the tool and Josh Bot. And, like, I see you using it all the time. What are you using it for? And he goes, oh, I'm an investor, and I just put all my investing ideas in there. And then you tell me what to do. And I was like, dude, maybe you shouldn't do that. Like, you need to. You need to probably not use my knowledge base for your investments. It's like, no, no, Actually, most of it's about mindset, and I just. I get. I get weirded out about my investments and I want to pull out early or. Or I want to jump in with fomo. And he's like, you calm me down and you get me straight. So he was Using it to do his job. And he would make reports and come up with strategies and send them off to his clients. And he was doing his whole work in there, you know, and I thought that was so hilarious. So. But I was like, hey, you know, maybe don't do that. Right?

Yeah, yeah, yeah.

I don't want to be on the hook for you making a bad decision with investments. Like, that's the one thing. I used to be that hedge fund manager and so I'm like, you know, that's really cool, bro. And maybe, yeah, that anymore.

This is awesome because for anybody that's out there that has domain expertise or subject matter expertise and they're known for it and people are like, oh, if I could get five minutes with Chris at the cocktail party or whatever, they don't have to wait for the cocktail party anymore.

That's the thing though is that our entire, you know, funnel sales funnels for coaches and stuff is based on the cocktail party.

Yeah.

Right. So if I, if I'm going to get clients, then I need to not give away my stuff for free. Right. And that's, that's true. I do need to do that. If I make a bot that you can talk to anytime you want, it's going to devalue all of my coaching. Right. That's what everyone thinks, but it doesn't. It raises the value of your coaching like crazy.

Because of access.

Because of access and because the wall they hit will get. At some point they get all their questions answered from your bot. What, whatever that might be. And then they want to talk to you. They want you to help guide them through something. They don't want the bot. Right. It's just a preference then. It's not even like a necessity anymore. Yeah, they would rather pay you. Now imagine you had a money making business. The people who do success in money making are going to explode soon. They're going to be doing killer with their businesses. And here's why I think it's going to happen. Imagine that I am broke and I want to buy your money making course. If I have money, I don't want to buy it. Yeah, right. So that's always been the annoying thing about that industry. However, now I can go, oh, I'm just going to jump on to your bot, which you let me have for free. If I'm subscribed to your newsletter, I get it for free. So subscribe to your newsletter. By the way, all your newsletters are written with this AI, right? Because all your knowledge base. Right?

Yes.

You just kind of look at it and scan through, make sure it's good or have someone do that. Yeah, I read the newsletter. It reminds me to jump on the bot. I get on the bot and I start asking questions. Then it answers my questions and helps me with a method to make money. Now I have enough to pay you, and I can buy you. I can buy your time, I can buy your consulting, and I want to do that. If you have a mastermind group, I want to join it, you know, because I want to keep going and I want to have connections to other people. So these are the things that are always going to be valuable and they're going to become more and more valuable over time, whereas your knowledge base is going to become less and less valuable over time.

So let's talk about that so that you don't find yourself in a situation to where people are like, oh, I don't need to pay. Because it seems like, oh, if I'm giving everything away. And it's. There's intelligence behind the answers, it's not just like, here's a bunch of FAQs, but here's a customized response to your scenario that the individuals might feel like that's all the value that they needed. What?

Mm.

But that's not the case.

No. This is one of the biggest misnomers in marketing is that if you give away your best stuff, that people won't want to hire you. But the truth is that when you give away your best stuff, people always assume you have other stuff behind the scenes that you're holding back. Your real best stuff is actually somewhere else and you're keeping it. And the stuff they see is not even the best stuff. So imagine how good the good stuff must be if the, if the stuff you give away for free is already worked.

Yeah.

It proves your. Your authority and it shows people that you have more.

And karmically, you're like hooking up the world with.

That's great, great info.

Yeah.

And so. But you do want them to do something in order to get it. You don't want them to just, like, have access here, share this link, do whatever you want the value. Then even if the bot goes down and your information goes down, they won't use it. Right. And you'll just pay for all these API usage. Right. Yeah, but. But you can do that. You can just have a newsletter, say, this is free to everyone who signs up for my newsletter. All the newsletters are in there automatically. All of my books, I have over 113 books. I just realized or Products. Right. That I've written over the years. I used to have a publishing house too, but they published almost exclusively my content. So it was all this stuff was in there and I'm like, okay, you can get all that stuff. I'm not even going to say how much it is. You just, you get all this, you can ask whatever you want. It has that entire knowledge base. You just need to sign up for my newsletter and I'll give you the link. They sign up for the newsletter, you're like, hey, cool, thank you so much. Here's the link. Enjoy. It's in a members area, right? So they go in the members area and they access it. Done. And while they're in there, they interact, they ask questions and at some point everyone's going to have every question they've ever had answered. That's it'll be answered whenever they want. When Google first came out.

Yeah.

People were like, what? Yeah, like I'm never going to XYZ again. Right. And now we do, we, we Google everything.

Right.

Most people Google everything and it's going to be like that where it's a deeper level of I have access to all the information in the world now. I'm going to get it faster. It's going to be catered to my use case, my context. It's going to be exactly what I'm looking for. Right. It'll be step by steps, it'll be able to take actions, you know, for me so soon, then all that stuff is going to, it's going to be free and the world is going to see it as not valuable. Right. Having access to all the information in the world is going to be normal. Google's free, right?

Yeah.

You just jump on there and you ask whatever you want and it'll tell you it's not always true, but it's pretty good. Same with the AI, right. You're going to want, at some point there's always going to be validation that you're going to want, you want to have, but besides that, you're going to have access greater than any other time in history. It's gonna make the library of Alexandria in your pocket. Right.

We'll be back after a quick break.

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My mind is spinning here. So. So if that becomes commoditized, right. Like, if I can go, oh, everybody does this. Everybody has their Josh bot.

Right.

The point of distinction could be what you did with Coda, where it was like, based on this particular session, the user session, it got that information. It was like, oh, by the way, Josh, Josh is going to follow up with you, you know, throughout the month to make sure that you're doing what you're supposed to. That would be something that. Because a past guest and somebody that we do a lot of work with is Jody Cook. And Jody has a business called Coach Box. And Coach Box is. It's for coaches. It's for. It's the. It's the natural language interface, AI powered, gen powered for coaches to introduce their subject matter into it and their IP so that their clients can have their joshbot experience. Right. But this idea that you did with Coda, which isn't, I would imagine, like not terribly complicated. You just have to be able to think that way.

Yeah. Not complicated at all.

That's what made the. Yeah, it's great. I can talk to Josh once a month. In the meantime, I get the perspective that I need. Oh, and by the way, what I really wanted was accountability. And that's what I'm getting. Right. Because that's what most people want with. They want the advice and knowledge with coaching and. But they get results when they know I spent money on this or I don't want to be embarrassed because I didn't do what somebody that I respect suggested that I do.

They'll fall off because of that.

Yeah.

I mean, just the shame of not. Of not accomplishing something that you helped them set up perfectly and their resistance will make them. Make them fail.

And if you've got this automated mechanism that is just checking in with them, that's all, like, that's probably enough for a lot of people to end up getting results that they wouldn't have gotten without that one automated step.

Mm, Yep. Pretty awesome. And this is like the, you know, I had to build a tool, you know about rag.

Yep.

So for. For people who don't know about rag. RAG is Retrieval Augmented Generation. It's this. It's this way to take a knowledge base and then let the AI grab stuff from it by searching through in a really smart way searching through everything that you have in that knowledge base and pulling out just the pieces that were relevant to your question. They pull that into a big pool and then the AI then looks at it and goes, oh, here's the answer in here somewhere. And it answers your question. And it's the future a hundred percent. We're going to see rag and everything because it's the knowledge base. It's not about. People don't really want a tool that answers every question about everything. What they want is something that does one thing in one niche, in some area that they know is trusted sources. Because if you tell me, here's how to, you know, fight a legal case and you, and you give me all the instructions that I don't know any different, then I might go, that's really great. But I also am going to be nervous about you applying it because if I apply it and it's wrong, I lose. The risks are really high. So what I really want is for a lawyer to say, here's all the case law for this particular thing, upload it and go, this is, you know, this, this is non negotiable. This is a thing that's real, this is a case law, these are the laws. So now would you have a question? I want it to look at the laws and say, this is illegal, this is not. And why? Right? So to help build your case, I should be able now to take a. If I'm being served something, right, someone's trying to sue me, they should be able to send me their paperwork, whatever it is, and I should be able to take that, input it into my AI, push a button and now it reads all of this trusted source data with rag, grabs out the information, it could be thousands of pages. Grabs out the right information to answer just my query, pulls it in and then answers my thing. Right? And to give you an example, I had to use this. I had some, not my current landlord, but a previous landlord that I had was just being a jerk. Like he, he was trying to get me to, to pay for something that I didn't have to pay for. Right? His was not in my contract, but there was some vague verbiage about it in our lease. So he was like, oh, this is, look right here, this is what it says. So I took the tenant landlord code and I took our lease and I put it into the AI.

Yep.

And then I took his email and I copied it and I said, here's what my landlord said to me. Give me all the reasons why this is wrong. And illegal. And it just boom, boom, boom, boom, boom, boom, boom. And then I said, okay, write a really nice email to my landlord that says in no uncertain terms that this is how it's going to go down. And. And ask me if he wants to do it another way. And it wrote the sweetest email ever. And. And it had. It was like, you know, according to this statute of this thing, this is the thing. And here's the other cases in which this happened. And here are the results of those cases. And your cases, I would say, falls in this category. Would you agree? I think so, too. And as a result of. Of. Of basically going after me, here's what. You're gonna lose. You're gonna lose. You know, not only this, you're also gonna put your property at Jeopardy. And everything else, right? And. And then it said, do you wanna. Do you wanna try this another way instead? And about two hours later, I get an email with five words in it. It said, don't do this to me. And that's it. And I was like, okay, great. Like, let's. Let's just not. Let's just not worry about it. Like, we'll split the costs and be done, right? And I got to be a nice person instead of being a jerk about it and, like, having to be vindictive and resentful. And so he was like, like, after that, he did not mess with me about anything ever again, you know, And I think that that is the superpower. I can actually do that. And I only do it because it's using the information from. From the. From the code that we're supposed to follow. So trusted sources are going to be a major part of the next wave of AI. And, you know, if I.

So almost like specialized small language model environments where it's just contract law in the United States, it's just maritime law and, you know, whatever.

Or it's, you know, business advice or.

Whatever it might be based on McKinsey's way of doing things.

Yeah, exactly.

Or whatever.

Yeah. And you should be able to select the reason why. So I built a tool that did this, right? This is like a year and a half ago when I started doing it and called it the Librarian. And the reason why I built it was because I was like, I was thinking to myself, well, what do we all have, right? We really do actually care about our own trusted sources. We really do. And you can prove it because you have a library at your house. Books. And maybe you have a digital one. Maybe it's not digital. Maybe you have A physical one. Most people I know that are especially business people, type A people, you know, they all have a bunch of books, and they're all in their library. They keep those books. Why. Why don't you read a book and then throw it away after you're done reading it or give it away? The reason is because you might need it again. Right. And a lot of this stuff you'll forget because you're doing your life and you have other things to think about. Right. So you keep those books because you trust them now. You read through it, you vetted it, and you like it. So that's not going to go away. Every. Every single person has a different library. You have a different library than I do. And every single person, no matter how similar they are, they don't have the same books. Yeah. And this is where it's a fingerprint. You know, your, your trusted sources are your knowledge base.

Interesting.

And if you could, you would have way more books, probably with a lot more trusted sources, but you just don't have time to vet them all and to buy them all. Yeah. You know, I wanted to have a whole library. We walk around with a freaking ladder and go, yeah, I really wanted that. That was like my whole thing. But what I did is instead, I mean, I have something like that. Not a, not a ladder, but that'd be cool. Yeah. But, but I have, you know, a library at my house. I found all the digital versions of all those books online. You can search, you know, PDF file, type PDF inside of Google, and find so many things. Right. So I just downloaded them all and uploaded them to my librarian tool. And then I was like, I was blown away by what I could do. I, I, the first thing I did is I said, I have to write an email to and to an audience. It's a, It's a promotional email, like a marketing email. But I don't like being markety, and I want them to get a lot of content from it. I also need it to, like, do all the things that good marketing emails do. So they actually want to keep reading my emails. Like, you know, I love this, this method by a guy named Andre Chaperone, you know? Yeah. And he had something called autoresponder Madness. I love it so much. It's my favorite style. It's storytelling, and it goes from email to email. They call it the soap opera sequence. Yep. And. But I was gonna, I was gonna have to sit down and read that book again and, and find all the secrets again, and then structure a template and then you know what I mean? Right. On my stuff. I also wanted to write about the 33 strategies of war as they pertain to attraction and dating. Right. So I'd have to read that book, too.

And then I met and then contemplate mapping it all together.

Yeah, I'd have to build some kind of a system. Right. And then. And then show it to everybody. And it would take forever for me to do that, you know? So I said, all right, here's autoresponder madness. Here's 33 strategies of war, and here's my book. What I want you to do is write using only the techniques in Autoresponder Madness for your writing style. I want you to write an email about 33 strategies of war as it applies to the readers of my book. And I want you to speak to people who are the readers of my book, not to the readers of the 33 strategies. And it blew me away. It was like, okay, boom, here's the subject line, here's the email. And it was the best email I'd ever seen. I've never written an email that good. It took one of the principles from the 33 strategies of war, reframed it into dating, and then said, you know, you're basically, you are your worst enemy kind of strategy. One of the strategies of war is to fight yourself, fight your ego. And it wrote in a beautiful email. And I was like, huh? Write the next one. Because at the end of the email, it says, in the next email, I'm going to teach you this. Boom. Next one done. And I was blown away again. Now everyone's got different writing styles. Everyone's got different, you know, structures they'd like to use for their emails. For example, I just cranked out 50 of them in about 10 minutes. And then I scanned through them. I was like, does this look right? Does it look right? All the information was great. And I just put them into a large doc and sent it over to my marketing homies. And they loaded them up and they went out, and it was awesome. Content. The people were just like, guys were just waiting for the next email to come. And I would love to do that with every single step in my business, with every single part of my business, but I couldn't before, you know, so.

With this librarian, it's basically. It's using the AI brain, but with a select set of context that you feed it.

Yeah, exactly. Yep. And I just explained it like this. Like when you put. When you put content into chat GPT and you upload a file or Something what it's doing. Because they have so many regulations. Look, people looking at their, at their business.

Yeah, yeah, yeah.

Always hawkeyeing everything that they're doing. They have to control the narrative of whatever's going on. Yeah. They can't let you just produce whatever you want. You'll produce literally illegal stuff. So, you know, you can go in and be like, hey, how do I make lsd? And it will go, I can't tell you how to make lsd. Right.

Yeah, but I know how to.

But of course it knows how to. It knows everything pretty much. You know, it can explain a way. Is it real? You won't know unless you try it, I guess, or you know somebody that does it or you know how to do it already. But it tries its best, you know, and it's, it's very, very good at everything else. So they do that. They make it so that you can't ask certain questions. When they did that, they also made it such that if you upload a file, your file, I explained, like this, it will bend your. It'll wrap your file around the LLM, meaning the AI itself is going to be core and exactly the same. It will make your file like a, like a nice hat it can wear. It won't fundamentally change anything about the LLM. Whenever I built my system, it was as if our files were the core.

Yes.

And it wrapped the AI around it instead of said, so. Now the AI is looking inside going, what's in here? Oh, I see what's in here. My job as an AI is only to report the truth of what I see. It's not to determine the truth.

If you're enjoying this episode and want to learn more about how to start using AI at work, we've made it easy for you. For just $1, you can have full access to the Chief AI Officer community, which will give you additional training, custom software, daily Training, calls on AI tools, using AI automations, getting more from your ChatGPT sessions, and the business of being an AI consultant. Simply go to chiefai officer.com insiders to accelerate your AI journey. Now back to the episode. So you built this.

Yeah.

With. And you mentioned early on in your enthusiasm for open source.

Yep.

So is this an open source model that you're using for this?

You can use an open source model with it. I use. So there's a. There's a couple of open source systems. One of my favorite ones is a company called Grok. It's Groq. Yeah, there's Grok also. That's the, the Twitter. Twitter AI, which is going to be one of the best AIs in the world. I think very soon, probably in next year, it's going to give a run, completely run for everyone. Like every other AI is going to have a hard time catching up with Go Elon. And that is, you know, he likes not censoring very much.

Yeah.

He likes free speech a lot. Which. So it's going to. When he releases his API for that, a lot of people are going to switch over to that. And heck yeah. Because they can.

Yeah.

Won't censor their content. Right. In a way. So if it disagrees. And one of our clients got in trouble for a little while from, from the media chased after him for something that they were all wrong about it, but they did it anyway and it tried to ruin his reputation. And if you put his name into the AI, it'll go, I'm sorry, I don't feel comfortable helping you talk about this person or whatever. And you're like, screw you, buddy. You can't tell me who to trust and who not to trust. So that's going to make Grok with a K more valuable. But Grok with a Q is a chip company and they make these speed chips for AI for large language models. And they started hosting them in racks and then letting people come in and you know, by access. And it is the fastest thing I've ever seen. It is. You put something in. It's almost like as soon as you hit enter, you have 10 paragraphs of an answer, like instantly. It's the fastest.

You've set this up for yourself.

This is already existing.

Okay.

I just had to plug into the API.

Wow.

And it uses open source large language models. They're not an AI company that makes AI generative AI systems. What they do, sorry, LLMs. Yeah, they're instead they just make the chips. So they find, process, they process it all. So. And they're lightning fast and they're really cheap. So that's another thing. So all the open source stuff, like I have an. I have an open source model Llama, right?

Yeah.

One of the Llama models on my computer. I can go, you know, in an airplane with no Internet or wherever I am in the whole world, I can say I want to do this and it'll help me do it. I also can go, hey, I'm outside right now in the woods and I don't have Internet. I can go, I'm outside, I'm stuck in the woods. I don't know what to do. Here's the kind of stuff I see around me. Help me identify the plants I can eat and help me make shelter. Tell me what to do and it will walk you through everything. Right. You don't need the Internet at all. Yeah, it's like the ultimate survival tool.

Yeah.

But it also can help you do other stuff. You know, it can help you come up with strategies. You're gonna have to do the strategy for now. Right. But it's only a matter of time before you don't have to do the strategy either where you say, hey, I want to, I want to plug into this API or I want these systems to be here. I think APIs are going to be major in the future, by the way. They're going to be really, really important in the near future because people will.

Be able to come up with an idea and go, oh, this is one of those ingredients. This is one of those ingredients. And they'll be able to hodgepodge everything through the APIs.

Yeah.

Okay.

So like for example, I saw a kid just the other day on Twitter and he's like, hey, we're not, it's called Ix Ray. We're not releasing this information because we only did it as a project for fun and because it's a security risk. But you know those glasses with little cameras on them, they're like look like regular sunglasses.

Yeah, yeah.

He, he got a hold of the live streaming data that was coming through that, that he then plugged into an API and his phone and it scanned people's faces for facial recognition and found their social media and all the information about them while he was talking to them. So he'd look around and it would be like, here's this person. Boom. Look at the phone. Cuz he didn't have display yet, you know, in the glasses he look at his phone and it would tell him, here's, here's what this person does for a living, here's where they work, here's any, all this information about them. You know, you could do a background check here, here's. Are there crimes that they've been committed that they've committed or been convicted of or whatever? It might be any data they want about them. And they did a test, it looked like regular sunglasses. Right. They're not, you would never even notice. There's a camera in there, it's flat. It's totally different. Right. Than anything I've ever seen. And they did a test where they walked into a subway in New York, I guess, and he was, he walked around and he Saw somebody. He took off his glasses, looked at his phone, right? Saw who that person was, and walked up and said, hey, is your name Dave? Do you work at this company? And the guy was like, you know, he's sitting like this, and he goes, yeah, that's me. Yeah, what's your name? And he started getting up and shaking his hands, like, what can I do for you? Like, how can I help you? You know? And he goes, oh, I just. I love your work and I love what you do. He goes, oh, cool. You should stop by the office sometime. Like, he thinks he's being recognized by somebody. Somebody who's actually interested in what he does. Right. This is going to disrupt everything. Also, I saw him approach a girl, right? Hey, do you by some chance really like poetry? Yeah, actually, that's what I do. Like, I think I know your poetry. Like, you had a poem about dogs, and it was this poem. She's like, wow, you. You know my poetry, right? And I saw that and I went, whoa. Yeah, whoa.

Instant rapport.

Instant rapport. And, you know, everyone was like, this is really scary. Right? But I was like, this is amazing. Right? This is amazing.

I instantly think about going to an event and sitting at the event, networking. Like, what do you do? That's gone like, yeah, just scan the. Scan the room. Target, target, Target, target. Done. There's your networking.

And you think about it, because you're a good person. That's what you think about. But if you weren't, you'd be target in another way.

Yeah, that's true.

And that's the. That's the hard part. Yeah, he did it with API calls that. That a teenager can get a hold of. Wow. And it was all instant on his phone. Pretty amazing.

So one of the things that you've mentioned a couple times, and I'm very interested in it, because I truly think that there is a lot of Runway in the agent environment and to the point to where we've got some services and things that we do for companies. And rather than having to train up a whole army of chief AI officers, if we can get agents to fulfill some of that, then there's less need for the humans to get involved, less human error and those sorts of things. But, you know, all the tools that I see there, they. They call themselves agents, but it's questionable if they're really able to have agency and, like, make the next decision. What's your experience with that?

Well, you know, the word agency is. Is kind of loaded because it kind of assumes consciousness, Right? So that's a that the word agent itself is also kind of that too. It's based on that root. So I think that that's a cool rabbit hole to go down. But that's not really what you're asking. I think what you're really asking is can they do stuff and make decisions, right? And if you program them to make decisions, how you want to say, you have if, then directions to go in. You know, there's a, there's a system. Jeez, am I drawing a blank on this right now? It is a tool selection system. LangChain. LangChain and their whole open source community as well. And it gets better and better. What it is, it's an internal thought process for the, for the AI. And it goes, first, do I need to use a tool to do this? And it asks itself, it doesn't tell you that that thought, right? And when I say it asks itself, what it really does is it prints that in the code. It says, do I need to use a tool to do this? And that's the prompt first. And then it answers just that prompt question and it doesn't display it. And then it goes, yes, actually I do need to use a tool to do this. Which tool do I need to use? And it says, here's all the options. It goes, well, I know all about these tools because I have it all written right here. That's the best tool to use to do this. How would I use this tool? Oh, here's what I would do, right? I would first, you know, log in, then I would write, you know, open it's Gmail. I would, you know, create a new message, a new email I would search through first. Actually, maybe all the previous emails I wrote to this person and I would find how I'm talking to them. I'd analyze it, come up with a strategy and a style for talking. And then I would create a new email and I'd write it about this thing and then I'd hit the button and send it, right? That's what I would do. So then it goes, cool. Well, you have access to the API of Gmail. Do that now. Now it goes, I'm thinking, I'm thinking, right, and it goes, done. And then your email has been sent. When? A year and a half ago. LangChain and llama, kind of Llama had its own LangChain. It was really bad, but they had a Gmail integration. And I built it into my librarian just to test it and see and I could get. This was a year and a half ago. Keep in mind, right. No one was doing this at the time. I could go in there and say, hey, give me the list of the last five emails that I had that were personal, that were not business. Boom. Listen right there. Like, wow, that's already crazy, right? I don't have to go in my email. Yeah, I have five email accounts. I can pull them all right here into the chat. Cool. Now then I said, okay, write a draft reply to each of these emails. And it would go. And it wrote a draft reply. And then I said I could say save this as a draft in my email or I could say send it and it would go, done, sent. And then I went to my email and I checked. It had sent an email. It was in the send folder. And I was blown away. I was like, I cannot believe this. So when you say agents, people say agents. They, they really mean that. The AI system has a connection to an authorized connection, right? To an API of some sort where it can take actions and do things, right? It can go search the Internet, it can send an email, it can send a text message, it can read things, it can get access to information. You have to let it have access to that information. You have to give it the codes and logins and all that stuff and tell it what to do. You also need to tell it which tools you want to get access to. But once you do that, you can absolutely then say, okay, here's an if, then split in my decision making tree. And what I want is I want you to read this thing and if this happens, you do this thing. And if not, I want you to do this thing and it will do it. And then you just turn it on and it will scan or you can turn it on or push a button to turn it on and it will.

What tool would you be using to do this?

Coda.

Coda.

Coda. I can do it with Coda without knowing any code. You know, you have to learn how to, how to write the functions in Coda, which is like spreadsheet functions, basically. They're not. They're not serious.

Yeah.

And the cool thing is that I don't really know how to do any of that stuff. What I do is I go on ChatGPT and I go, I'm in coda. I'm trying to make this happen and it writes the codes for me and then I go back and paste it in there and I'm done.

Yeah.

You know, and it works.

So the part that's missing, so anybody can do the mechanical parts, but the part that's missing from other people doing this is the thought process of architecting this. Oh, I need to do this, I.

Need to do this.

Is there a framework or what's the secret there?

Yeah, actually, my. My business partner Peter kind of taught me this. He was like, he's very simple when it comes to frameworks. He's. He breaks things down really, really well, you know? Yeah. And. And he goes, okay, you just want, what inputs do I have to put in? What outputs do I want? And then that's all I need. Right. And so you have like a black box. You put in these things, and then inside the box transformation happens and then outputs these things. Right. So if you know the outputs you want and you know the inputs you want it to use, all you have to do then is say, hey, take these inputs and you write a prompt, right? Take these inputs, here they are, and, you know, wherever they are. And you'll say, my goal, the output goal is this thing. You could just say that and it will probably work. It'll do a really good job. You can hit the button and it'll take the inputs and transform them into the output. You don't have to say, hey, the objective is this and that and that. You can just literally say, here are the inputs. The output I want is a business marketing plan. And then. And here's an example to follow. Done. Now it takes that. It looks at the example, it looks at your inputs, and it transforms them into that, and you're done.

So there's no architecture required.

No. Then you have a bunch of transformations. You can take transformations and stack them. Yeah, Right. And they'll go left to right and they'll work.

Yeah.

Like, for example, I wanted to make something that would check comprehension. Like, you're talking to someone, it's a chat, and you want to know, did they actually learn anything? And think about this. Like, you went to college, right? Ish. Yeah, I went for two years and then I stopped going. I stopped paying. At least I kept going for a little while for free, and that was fun. But I didn't get a degree because, you know, I wasn't paying and I was. I hated college because of. I loved it too, but I hated it because it was not testing my comprehension or my application. It was testing my memorization and my conformity, and they were testing for conformity in college. And I hated that. I was like punk rocker when I was younger and.

Yeah, me too.

I didn't want any of that stuff, like, get away from me, you know?

Yeah, yeah.

And. And So I left college and didn't want to deal with that stuff anymore. But now, you know, you. If you have kids, you're. You're like, I want to know. I want to train, actually teach my kids. How do I really teach? You can't teach for memorization. You have to teach for comprehension. So what. What I did is I said, hey, when. When you're talking to somebody, this app, this is. I'm gonna oversimplify it, right? Let's say you're in a chat, like, chat GPT, and it's teaching you something like a teacher. And then it goes, do you understand this? And you go, yeah. And then. And then it says, well, if you understand it, then I want you to, you know, tell me what I just said. Right.

Yeah.

Oh, I mean, all you do is look up there and read and say it again. You don't have to understand anything. There's, you know, there's all sorts of apps. You can now take a picture of your screen.

Yeah.

You're taking a class, and it'll tell you the answer right there. You just choose the right. Right button. Right. So it's. It's going to get harder and harder and harder to actually teach kids because the memorization was. Was the strategy. So what's going to happen next? We're going to start testing finally and teaching finally for comprehension. So I made an AI tool that would check for comprehension against the rubric. It would say, here's all the different levels of comprehension. Here's their answer to this question. On a scale of 1 out of 15, how well do they comprehend? And it would say, here's how well to comprehend. If the score was too low, it would say, okay, the score is too low. What I want you to do is repeat that stuff, but the parts they missed only, and go teach them to correct them and tell them exactly what actually is accurate. So then it'll go. That's really close to the. To the way that it is. That was really good. The only thing that's different is that, you know, instead of the engine turning, you know, a magic crank or gear, the engine's turning, you know, a piston or something, you know, whatever it might be. And it's. And it goes. And here's the difference. Does that make sense? Yeah, that makes sense. And then it'll go, okay, well, that makes sense. Then tell me how you would apply this to this and this thing. So it has all these different tools or techniques for comprehension, and there are amazing books on comprehension. Right. But I don't want to read them. What I want is to upload them and say, here's all the stuff about comprehension. Use this super genius comprehension stuff and make me a really good comprehension thing that now will. Will guide and change as I love it, as I grow. So. So that's what I built one of those and we patented it, actually.

So on Librarian, is that commercially available?

Librarian? Yeah, it is.

I know we're going back to something different, but.

Yeah, Librarian is under. Under the name IP Vault.

Okay.

You know Perry Marshall. Yeah, Perry Marshall, partner, partnered with us. He's a brilliant marketer. And. And he was selling early access to this thing as well. And we're going to release it. Ultimately, though, that. That is about making Jarvis okay. Right. Like Jarvis for people who don't know, it's like a. They probably all know. But Iron man, if you're a dude, you definitely know. Yeah, it's Iron Man's AI and what I want, I was like, what can we do to make it right? And what I realized, and it's personalized.

For everybody based on what they.

Yeah, of course.

It is their library.

Yeah, your library. Exactly. Your trusted sources are your fingerprint and you will change them. It's your agency to change them.

Now, this is interesting because without that distinction, it would be homogenized. Everybody would be.

Yep.

Even though I'm this way, the output that I'm getting from my tool isn't as calibrated to me as it would be in a, like a librarian environment, an IP Vault environment. So that would actually. Even though I thought I was a unique snowflake, my responses would be fed by something that everybody else had access to.

Well, how are you going to get an edge now with anything in life if that's the case? So everyone would be exactly. Have exactly the same opportunities, same knowledge, everything else. Right. But that doesn't create evolution. That creates equity.

Yeah.

Right.

So if somebody wanted to test out something like IP Vault without building it themselves, is it like, Is it available?

IP vault? Yeah, you can go to IPVault AI and check it out. Right. You can do that. And if you want to test something that's kind of simpler than IP Vault, but it's a similar concept. It's a pain in the ass to use it, in my opinion, because they don't let you just bulk upload all your files and then stay, keep them and select which ones you want to talk to. And it's like you pick it. You pick your files. There's an environment. It's called a notebook.

Yeah.

You Know what I'm going to say? And then you have. In that notebook, you have all those resources, and when you go in there, you can talk to it. You can't change the LLMs. You're stuck with their LLM and stuff, too. But that's called NoteBookLM. And NoteBookLM is like a version of this.

It's a Google product.

It's a Google product. Yeah. Google bought it or built it, I don't know. But it's a rag. It's exactly the same thing, but you have to choose the books and the resources, and then they're locked in.

That's static.

Yes, it's static. So when. If you're in the middle of a conversation, the, like, if you ever had a really great brainstorming session or something with somebody, then in the middle, you know, that middle of the conversation, you're like, you know what? Hold on, I got a book about this. Let me just pull this up. And you're like, yeah, here's the answer. Cool. Oh, let's keep going. But you know what? Now that we're talking about this, I have a book about that, too. This is evolving. Right. The conversation. Let's pull that in and let's talk about it. Here's the answer. So that, like, evolving book resource thing is how you naturally think and how you naturally evolve conversations and knowledge. So that means that if I. If I have a static environment, I have to now create a new chat with that book separately. I don't get the crossover between these two things, so I can see where the relations are. I have to just.

And it might also be pulling in information that's not completely relevant just because it happens to sit in that notebook.

Exactly. So I don't, like. I don't. I don't know anybody that uses Notebook Elem for that.

Yeah.

Hilariously, everybody uses it to make podcasts.

Yeah.

Interviews. And listen to them. Because that's really fun.

Yeah.

Right. And that's why everyone's talking about it, because the voices are so great and they sound so real. I saw this one guy and posted. He used. He uploaded a document that just said poop and fart. And it said poop and fart over and over again for, like, you know, 15 pages. And then he made a podcast, and it was the most amazing podcast I'd ever heard. It was. It. It was them going, you know, one of the users uploaded this file, and we're looking at it here in the studio. It's like, not really happen.

Yeah.

And. And it's just the Words poop and fart repeated over and over again for pages like, wow, yeah. You know, and then the girl goes, you know, but I wonder if. If this is really just us trying to find meaning in something that doesn't have meaning, don't we do that? Don't we look for patterns when they don't exist? Yeah, they. We totally do. And it made this philosophical, deep discussion about. About poop and fart.

Yeah.

And it was the funniest, coolest thing I'd ever heard from this thing. Right. But the power of this tool, that's really cool because you can now make a podcast and listen to it about any topic you want. Right. And from the resources you decide. But people aren't using NotebookLM to actually talk to their files.

Yeah.

They're using it to make podcasts.

So with IP Vault, I can toggle on and off which context I want to be included in this particular chat.

Yeah.

Okay. That's the distinction.

And you can also do something. This took us a while to figure this out. But AI doesn't write like you. And if you've ever tried to get to write like you, you know, it's like pushing a snowball uphill. Yeah. You know, it's not. Doesn't really work very well. And the first attempt that everyone does is make a writing profile, writing style profile of you by giving you a sample of work.

Yeah.

And then saying, write like me. And it still doesn't do it. It's pretty, Pretty terrible. So what we figured out was that if you want to actually make a writing style, we call it personalities, you need to be able to turn it on and off in the middle of a chat. Say, like, okay, I'm talking to you, but now I want you to write this email. So you need to write like me. Right. Or now you're writing a book chapter, so you need to write like me. But. But while we're brainstorming, I don't need you to. So that's the first thing is you have toggle on and off. So we made something called modes for IPVault and Librarian. And you upload your work, and instead of trying to make a profile out of it, it finds things that you said phrases and stuff about something similar to what you're writing about. So if you have a whole bunch of content about, let's say it was medieval carpentry, whatever reason, and that's all you did was medieval carpentry, and you talked about it on podcasts, and you had a thousand podcasts, you upload them all in. And then you say, also, you had a bunch of emails, newsletters, stuff like that. You upload those all in. Right. So now you got all this content. You wanted to write an email. You don't want to write like you speak a podcast, because you don't write like that.

Yeah.

So, but you do want to write about this subject matter, whatever it might be. So you're talking about, you know, chisels, for example. What it does is it'll find all the times that you talk about chisels, and it will find the sentences and the sentence structure. Pull that in and say, this is how this person talks about chisels. Because you talk about chisels and write about it differently than you write about dogs, differently than you write about family and friends. You have a totally different tone. And it uses them as examples instead of trying to make a profile. And because of that, I can now say, here are all the examples of how this person writes about this. Here's all the content. So only using that for style. Here's all the content they believe in over here. Now write like them and it'll do it. It actually works.

This is fascinating. You know, I was at a thing here just the other night, the Texas Venture Fest, and I was talking to a guy who had put his tax returns into Notebook LM because he didn't really understand what was happening. And after Notebook LM did its thing, he completely understood, like, his tax situation. And the strategy behind it was crazy.

Yep.

The. So it's again, going back to what I was asking you earlier. How do you think about these things? Like, I think that's the number one. These tools are out there, and the only limitation is what you can come up with of, oh, I wonder if I can have it do this. Yeah, that's fantastic.

Yep. And speaking of the tax stuff, I mean, again, I like the idea of having a sovereign system that I can work with and I can choose, I can switch between them, because these things, sometimes they get dumber. And I don't want to use the LLM anymore. Like, when ChatGPT released GPT4O, they were like, it beats everything.

Yeah.

And then I got in and I was like, this is pretty good. Then about a week later, I was like, this is terrible, actually, it was so bad.

Yeah.

And. And I was sorely disappointed. However, they already had hit the benchmark with it. They got rated and everything. And then they made it dumber. They made Denver because it was too expensive to run it. They want to save money.

Yeah.

So now I'm using this thing and I actually don't know if it's good or bad.

Yeah. Yeah.

Every time I log in and I talk to it, I'm wondering, is it something that they've, you know, they've deprecated in some kind of way. Right. That isn't working anymore or is suddenly gonna censor me or whatever it might be. Like, I'm not allowed to think about certain things. Right. So I don't want that to happen. So I like to have my own systems and my own. Like, I like to have stuff on my computer, too. One thing that I did, though, because I thought that it might say I can't help you with that.

Yeah.

Is upload a download first off, which was a pain in the butt. The hardest part was downloading this. The entire tax code for the United States. Wow. So I have the entire tax code in my librarian, in my IP bot. And I was like, okay, I want to fill out my taxes. Here's the. I just. I wanted to take a picture. Right. And upload it and say, here's all the fields. And it pulled in all of the related tax code. It meant that I could find write offs that were otherwise really hidden in thousands and thousands of pages of documents. And it would tell me exactly how to go about it. Also, it let me know if I wanted to start a new venture, what's the best situation to set up all the different types of LLCs or entity formation types. And it walked me through them all. But I had a hard time with the files. There was way too many files. I tried to upload them all and I kept running into errors. They're out too big. This is because they don't want you, the United States ir. The IRS doesn't want you to actually know all the write offs. The write offs, because they want you paying taxes.

Yeah.

And there are laws saying that they can't overtax you, but there aren't any laws saying that if you can't care. Yeah. You can't overpay. So you'll just do it, you know? And this is going to change as soon as people hear this podcast first. They're going to be like, what I can do is that tool? Yeah. All you have to do is go online and search for a US tax code and then find the download buttons and download them all, you know, and then try it. You need to upload all of them at once. Yeah. But it's your right to do this. You know, you have a legal right. Another thing is laws Right.

Yeah.

This is what's messed up, I think, in general. Right. We have a ton of laws. Ton. Tons. Tons of laws. Every single country has a ton of laws. They're all different. They're all different state to state. They're different county to county in certain ways. And you have a constitution, but you have a lot of other things. Right. And it makes it very, very, very hard to understand if you screw up and break one of these laws, whether you know it or not, if you didn't even know it was a law and it was legal, you still go to jail. Yeah. And no one in the United States, not a single person, knows all the laws.

Yeah.

Therefore, we all live with this sort of looming thing over us that we might be doing something we don't even know is illegal and we're gonna go to jail. Right. No one in the whole country knows all the laws. Until now.

Yeah.

Now you can download all the laws and soon in different systems, like, I'll probably do this inside of librarian and other places, too, and build it into different stuff. Right. As soon as you download all that stuff and you look at it with AI, you now can actually navigate piece, piece by piece, moment to moment, knowing all the laws. Now, you're not going to be like, walking down the street and it's like, hey, don't jaywalk, because I see you're at the corner. Right. You know, don't do that. It's illegal. Hey, don't. Don't shoot that person who's over there, because that's illegal too. Right. That's not helpful. But when you're in a situation where you need to navigate kind of illegal waters and you're setting up, this is definitely going to change. Yeah.

Yeah.

That's going to mean that everybody in the world knows the laws of wherever they are. That's going to change everything. You know, same with tax code. It'll empower everyone. And that's really where this is all going. It's gonna. It's gonna balance out so that individual person has the ability to do anything on their own. It'll make you totally sovereign if, you.

Know, I guess you don't even know. Need to know the questions to ask. You just say, what questions should I be asking?

You need to know what you want. Yeah. Right. I want to not pay too much in taxes. I want to pay the right amount, only the fair right amount. I also, here's a really great use case here for workflow, is I want to buy property. Right. I want to buy property, and I Want to buy in the best place. Right. I also want to get as much support with lending, whatever it might be, any chance that I can to just get the property without having to put any money down and without getting any interest to bother me. Right. Okay, cool. Well, I can get a USDA loan for a farm for $600,000. There's a ton of grants. Not actually not a loan loan. It's a grant and tons of these things that are given out every year in the United States. And the only people that get them are the people that apply. Well, I don't have time to apply, but guess what? I can just use AI to do that. How long do you think it'll be before the USDA is aware that people are filling out these applications with AI? Probably not fast.

Yeah.

They're probably going to be 10 years. Yeah. Before they realize that people are using AI and then they're going to have to change the structure. But between now and 10 years from now, you can buy, you know, a million pieces of properties, you know, and it's, it's not, you know, you have to keep them all up.

Yeah.

But you can come with that plan in minutes, and you can apply for every single grant that exists in two hours for your business. You can get all of the entrepreneurial grants, all of the research and development grants. You know, the I throw my plastic water bottles in, the recycling grant. You know, whatever grants there are. You can get a list of all of them and then fill them all out using AI. And right now, you don't see a lot of tools yet where you upload a document that's got fields and it fills them out for you. But that is coming. Right.

It'll fill it in with the AI provided answers.

Not just that. Yeah. But it'll do it itself. Yeah. You get your taxes right. And you see them there and you go. And you can talk to it, too. Hey, I, I, you know, my name's Josh. Here's my situation. It'll ask you a few questions maybe, and then it will go, well, this, this, if you're, this is your goal. And, and it's an AI. It's an IRS agent, basically.

Yeah, yeah, yeah.

You are like, okay, I'm gonna tax agent to help me fill this out. It'll just go, oh, that's the field you're looking for. Boom. And it'll write it in for you. Boom, boom, boom, boom, boom, boom, boom. You'll see it start to pop everything in. And it does all the research real quick, pulls it back and then fills it out.

Dang.

And this is stuff that you could build right now.

Right? I know.

Anyone could build it right now and make so much money. Yeah, selling it, doing whatever with it. Right. You could totally do that right now. But everyone's sitting around and going, I'm gonna wait for the, for the, you know, for the water to settle. Like, I'm gonna wait for the, for the everything to shake down and whatever is still being useful, you know, then I'll jump in. No, you won't. At that point, no one's gonna care. Everything that you have that you could build right now will be rolled up into one thing in the future. It's true, it will. But that one thing in the future is gonna have to buy those, the disparate parts. And if you make one, they'll have to buy it from you. And they don't have to, but they probably will because they're moving too fast. So this is the greatest opportunity for business I've ever seen in my life. If a person right now who has $20 a month can get ChatGPT, can for $200 more, can launch a business in six hours and get an offer to buy it for $50,000 for six hours of work. Think about that. That's the. Anybody who has $20 a month, that's almost the entire world has $20 a month. You know, that's about to be our competition. Every single business that you have, every business, everyone who owns a business, anybody who has $20 a month now and time, which you don't, by the way, because you're busy running your company, they have all your secrets. They can strip, strip them straight out of your website. They also have all your models, they also have all your mistakes. They can see everything you did wrong. They can make a better product. They can put you out of business. They can come at you from maybe three, four hours of work and replace your entire business and do it way cheaper, undercut you price wise and serve a larger group of people and be more efficient, have fewer employees, move faster, move faster and that's it. If you don't apply AI right now to your business, you are going to be dinosaur the hell out of this whole thing. Really, really fast.

Man, we could go down these rabbit holes for a long time.

Yeah.

Is there any specific, I don't know, advice that you tend to share with people regularly who are on the journey? Is there any lesson that you need them to be paying attention to or is there kind of like some standard something that you say A lot that, you know, it's, it's landing with people.

Yeah. I mean there's, there's a few things. I mean, one, because we teach, we teach businesses how to apply AI right to their businesses. This is the, I think one of the greatest places to. It's my favorite business of all time. This. And it's because I love helping people like this, but also because the impact is immediate. Yeah. And these, and these businesses are, they're good people doing great things and they suddenly are seeing this thing apply and they're, they're 10xing and their competitors aren't doing it that fast.

Yeah.

The competitors are all sitting around doing nothing. Right. Waiting like, like they used to be doing. So I love doing that a lot in that world. I wanted essentially the employees that everyone's scared are going to be put out of work by AI. I wanted them to be AI programmers basically, without using code, something very simple. And they would learn to build tools that do their job for them with AI so they don't have to do that anymore. And the company owns those tools. This person becomes more valuable.

Yeah.

So they're not going to get laid off.

Yeah.

The now, because now they can put AI tools. So now they can AI your whole business. Right. That makes them more valuable. So now the company is not going to fire this person because they are worth more money. The person's not going to leave because they're getting trained in how to make AI tools and they have.

Now they don't have to do stuff they don't like anymore. It's being handled.

Yep. And then the company, if they do leave, the company owns all of the AI tools now the company's worth more money because now the company isn't just going to sell its SOPs, which are a list of on a spreadsheet or an asana table or something, or a trello board. It's got SOPs that are AI FIED. Now the SOP says in order to do this job, you have to come here, copy this, paste this, push this button and copy that and read it. Anybody can do that. So now a company wants to buy your company. They can hire whoever they want to do these jobs. Not a subject matter expert, nothing like that. They can scale it ad nauseam. They can do it as much as they want. Right. So what was happening is that these employees are not telling they're all using AI, right.

Shadow usage.

Over 70% of employees are using AI right now. 40% of those or less of those employees that are using AI are telling their bosses. Yeah. 60% or more are not. And here's why. Because they don't want you to tell them to do more work.

Yeah. Or to say, I don't understand that, therefore you can't use that anymore.

Sure. I mean there is, that's a, that's a legitimate concern.

Yeah.

The actual problem with that is that now they're using tools, taking your company data elsewhere. You have no idea if it's compliant. You have no idea if you're leaking anything. You can't guide them because you're too tight to actually help them.

Yeah.

You won't say, I'm gonna spend some money on you and train you and we're gonna use good systems that I can grow my business with. They're not thinking like that. A lot of people aren't thinking like that. So the employees are doing this thing called, There's a, there's a group on Reddit called Overemployed and it has hundreds of thousands of people in it and they, they're working multiple full time jobs.

Yep.

And they're using AI to do their jobs. And they just sit back.

Yep.

They have whole entire threads of how to have two zoom calls at the same time and be on two different calls. And like, oh, what happens if they both ask you a question at the same time? Oh, well, this is what I do. You know, I just, you know, I hit this button here and it makes my audio break, you know, and I can't talk or it makes my camera. And then I, and then I type here. I have that already written. The type in the, in the chat, one minute, got a reboot and then they just had the other chat over here. And then when they're done, they, wow. They push it over here and that's what they're doing. They have entire system set up for this and they're helping each other do it.

Yeah.

Because it's the only way they're going to get ahead.

Yeah.

But what's going to happen as a result is that these people are going to be the ones that end up building these companies out of nothing real quick because they're training themselves in AI and they're going to put you out of business. They are already in your company working for you right now. They're going to put you out of business. They see everything that you're doing. So you need to train them. That's the thing. You have to train them. Come up, come out with it, you know, come above board with it. Let them actually learn, train them on how to use AI to do their jobs.

Yeah.

If you don't do this, you're. If you're thinking, oh, I'm going to wait till AI replaces everybody in my company, you have a rude awakening coming, big time. Because what's going to happen is the people that you're going to lay off, they're going to go out and build competitive businesses and they're going to undercut you.

Because they understand the domain.

Yep. They understand the domain and they understand it better than you do. Yeah.

Because they're at the granular level.

Yes, exactly. Exactly. Now, you might be thinking, a lot of people are thinking, but they're not entrepreneurial. Yes, they are. They're getting two or three jobs at once.

Yep.

That's how it always starts.

Yeah.

You know, and that's it. Once you start seeing that you can make more money and you can work less, you can't have a boss. So.

So for those of you listening up, you're taking notes. Hey. So this has been a fantastic interview.

Yeah, likewise.

It was kind of random that we were in the same city at the same time like this, so it was awesome to do.

Yeah, total. Totally Fortunate for me, too.

For those of you who aren't familiar with what Josh is doing, though, keep him on your radar anytime. He was a huge fan favorite of our audience at the Chief AI Officer community. We had him come on to do a guest episode one night of a training call. We did. And I think it lasted two and a half, three hours.

Yeah.

And that was months ago, and people still talk about that call, so.

Excellent. I love that.

Where can people find, like, if they want to plug into this type of thought from you? Where is that?

Yeah, I think that, you know, if you really want to work with me, the. The best way to work with me is to let me train the team and let me get them all ready with AI. So all that we do is that. And we do that with. At the website's Real time. It's RLTM AI. Okay. Real Time AI. Which is hilarious because OpenAI just released an API called Real Time API, and it's spelled exactly the same. All right, you know, that's great, but we're not. That. That's not OpenAI's go to RLTM AI. You can scroll down and you can. You can actually apply there for. For a training.

Okay.

And people can. You can join. I mean, it's. Honestly, do it now. I mean, I'm not trying to get your money. I don't care. I I mean, I love, I love doing this for people. Yes. And of course I love being able to run the company and it's great and it's growing and it's wonderful. But it's, it's not about that. This is, it's literally that you have to do this right now. So I think that's the best way go there. You can, you know, apply, you can reach out to us through that, you can email me through that too. But I think the best way is just to fill that out and talk to us, you know, and I'll get on the phone with you and I'll talk to you about whatever's, whatever's possible there. So I love it. And yeah, the, the working in this industry, as you know, has been the coolest.

Yeah.

Freaking thing I've ever seen in my life. And every day gets cooler. If you're on the sidelines and you're thinking about joining, joining in and playing a little bit. Just, just jump off. Yeah, and jump off and jump in and play. Don't worry about it. You know, I used to look at it like it was a river. It's moving so fast. If you try to jump out of the river to monetize something, you know, like build a, build a tool, you discover something amazing in here in AI and you want to just stop now and build this tool for the next year and a half like I did, right? Yeah, I wouldn't do that. Yeah, I would. Just keep learning, Keep learning. Spend all your time learning and nerd out about it as much as possible and apply as much as you can. And if you do want to build a tool, that's great. But I think that's really, really fun and I'm doing it myself. I think it's awesome. But, but don't think that you're going to monetize it and sell it or whatever, right? Don't do it for that. Do it because you love it and, and because this is something that you want. So, yeah, I would love that. If they want to get in touch with me, we put a link, you know, I will, in the show notes and then, and IP vault. Check it out. Yeah, you know, it's a high end product. It's all about your ip. It's not like a, you know, little thing that you do on the side. This is like a real, real business program, you know, and we update it all the time. But we are going to continue and we eventually will get Jarvis and whoever gets Jarvis first, the group of people that get Jarvis first. Are going to be people who do it on their own. Yeah. And those people, if you don't know how to do that kind of stuff yet, those people are going to be, I mean, they're, they're going to get a 2 inch head start that's going to widen and widen into 10 miles and you're not going to be able to catch them.

Yep.

And they may slow down. They may lose it after a while, that advantage. They may screw up, of course, but there'll be some that don't. And the ones that don't are going to be changing the world.

Your nightmare.

And you can be one.

Yeah.

You know, so that's awesome advice. Yeah. Cool.

Well, thank you so much, bud.

Thank you. I appreciate it.

Thanks for tuning in to Using AI at Work. Don't forget to subscribe for more conversations about how to use AI at work and a special thank you to our sponsor, Chief AI Officer for empowering businesses with AI education and training. Visit their website for a free AI readiness assessment and AI strategy guide to help you get started using AI at work. You can. That's www.chiefai officer.com. so thanks to our producer Evan Desalnier for making this episode possible. Follow us on Twitter at the handle using AIATWORK and visit www.usingaiatwork.com for free resources to help you harness AI in your role.