AI Business Manifesto Live - August 14 2026

Very cool. Have you played with it? I didn't even know about it. No, I'm about to. Cool. I am live. Oh, I still gotta do the Twitter thing, but I gotta take care of that. Hello, hello, hello everyone. Well, there's no one on yet. People are joining. Um, so happy Friday, August 14th, and, uh, finished the Imprint Challenge over the past couple of days. Hey Kevin. And, um, I am looking forward to this weekend. I'm looking forward to, uh, The UFC, uh, card on Saturday night. And then next week we have, uh, Jay Abraham in town where I'll be teaching him, uh, uh, how to use AI. And, uh, Harry and I both will be. And then, uh, next weekend we have Connect the Dots here, uh, with Jay Abraham. So super excited about that. And, uh, hey Lisa, good to see you. Do we— we have a call today, right? Like as soon as this is over. And this might end sooner than, uh, than later unless people have questions or issues that I can help with. Because, um, I, after I did the Imprint Challenge, uh, finished that yesterday, the last thing I wanted to do was to be in front of my computer or think about AI, um, after a couple of grueling days of trying to bend AI to my will. Um, hello, Explore Groove and, uh, Sean Hellman. I'm competing with Andrew Wilson, uh, debating Candace Owens right now, so that's, uh, hard to compete with. Um, good morning, Biggie. And so, uh, anybody got any questions? Anybody, uh, got anything that is an obstacle or blocking them? And, uh, I might as well say it because I always do. The reason I'm doing this, uh, these live streams is because I'm trying to get people to know about the AI Business Manifesto. It is the report that I am most proud of, of the reports I've written over the last 25 years. I think it points to a bunch of opportunities for any entrepreneur to really take advantage of what I believe is going to be the next scarce commodity that whole world deals with, kind of similar to attention, but it will be judgment. And, um, and so that's why I'm here. I'm here because I want to talk to you about AI, about judgment, about the imprint, about Atlas. And, um, haven't yet checked out the Grok bot, but there's been a bunch of, uh, chatter about that online, uh, the last day or so. And I am looking forward to it. Okay, TOC. I need to build an orchestrator that can run overnight. I think it could be generic, but the first use will be to gather my alumni data on my computer. Hmm. All right, I need to build an orchestrator that can run overnight. I'm thinking it could be— um, all right, so Lisa, this is the question that Lisa had there. All right. Um, okay, but the first use will be to gather alumni data on my computer. So that really— that doesn't seem like that's that big of a job. Um, and depending on how it's set up, like where it is That might even be able to be done with a local model. You know, it's like I have a local model that does all the wiki links from all my files and everything, like pretty brainless stuff. And as far as gathering alumni data, unless it's all spread out and it's hard to find, you probably could get away with a local model doing that. I, you know, I have a I'm reorganizing like a 40 terabyte drive right now, and overseen by AI, but using a lot of Python. I had 40 terabytes of hard drive stuff, and I wanted it all reorganized and then deduped. And so that's what I have my system working on. I would think that that's a pretty easy thing to get done Lisa, where's the challenge? The what was really cool about the imprint challenge that we just finished was giving people the experience of. Seeing their judgments captured, revealing the underlying pattern in their judgments, and then formalizing like a new perspective going forward. Of course. So Kevin asks, not to interrupt, just posting this also. Can we build out an AI to strategically help us? Find where our customer audience is online, identify and connect with them. Yeah, that's really relatively easy to do as long as you're clear about who the customer is. Are you clear about who the customer is, Kevin? Because if you are, then it's relatively easy. And, um, the— we could even take a crack at it today if you have like a pretty good avatar. Or ideal client profile or something like that. Huh. The, uh, I know this weekend, uh, I want to play around with the GrokBot. I also want to play around with Buzz. Have you played around with Buzz yet or no? No, not really. Yeah, I haven't played around with Buzz. Yeah, Donnie still raves about it. Um, so that's, uh, Buzz is what was put out by Jack Dorsey, and it's kind of A way to manage multiple agents. So might be something interesting. All right. If judgment follows a pattern and AI can identify it, how would it affect the assumption that judgment is a competitive advantage? Let me share this if I can. See if I can. I don't know if this is possible, but I want to share a chain of thinking with you if I can. Let's see the. What's that? All right. Oops. I don't have very high hopes for this, but let's see. Image file. Yeah. Desktop or no screenshots. And this would be date created. Date created today. All right, let's see if this actually works. Hey. All right. So See if this makes sense to you. More intelligence creates more possible action. More action creates more consequential decisions. More decisions require more judgment. Human attention cannot supply it all personally. Therefore, judgment must be transferable, or it will be the single biggest constraint. Hence, it's not like it's wrong to think about. So hopefully you get that. And that logic is very hard to disagree with. It all makes perfect sense. And so one of the things that is a mistake to think about is that it's less about replacing you, right? Like, oh, If I have my imprint, I don't need to be here. And it's much more about that judgment is the one thing that's holding back your AI from continually producing. And as the machines get better and better and can go longer and longer and do more and more, the only thing that's stopping the AIs from working 24/7 is your judgment in what it should be working on, whether it's working on the right things, and whether it's doing things right. Yeah. And so having layers of judgment in there allows it to go longer than it would if it didn't. And that one difference— I did, Sean. That's my work. Sean asked who, who that string, who coined that string of judgment you just posted. I did. That's my whole theory. That's my working kind of assumption about the world. And just like I wrote The Attention Age Doctrine, I could write The Judgment Age Doctrine. And so The Imprint is designed to deal with that. You know, I was explaining this the other day that like if you were to get The Imprint today from the world's best media buyer, it'd be valuable like for your advertising. But as soon as anything changed in the outside world, any algorithmic change, any like change in platforms, that imprint now would no longer be totally valid or useful. So an imprint has to be consistently updated because the world is constantly updating. Your opinions and how you interact with the world changes from day to day based on what changes in the world. And so for all of that, for those reasons, right? It's less to be thought of as like, oh, I'm looking for a way to exit the business and have this run without me. It's much more like the there's too much judgment needed. And so we need to capture my judgment so that anywhere where my, the judgments I'm making are applicable, it can just leverage those and keep working and keep moving towards the outcome of building the business or making more profit or what have you. And so for those reasons, the imprint is so much more than just, you know, having it be more like myself or something like that. And this is all new. I had a call this morning with a gentleman I respect a lot. I actually first came across him, he was on Fox News. I think Megyn Kelly was interviewing him, Keith Ablow. And I've read his books. And we were talking about this layer, this judgment layer, like, For other things like, uh, for estates and trusts and things like that. So the, this is a wide open field, um, just like attention was back in 2006 and '07. And so you really have, like, I'm giving you a hint about the future. I'm explaining to you what's gonna be most valuable real soon. And I've shown you a way to capture it so that you're not left behind, that you're actually ahead. And, and I've given you the software for it too. And we're consistently improving that software, you know, the Imprint and Atlas. So, you know, I've done all that I can and I feel really good about it. I wrote a, you know, a pretty dense report explaining exactly what you must do now, what you must do in the future, and what you must do if you need, if you need to get better results. Results out of yourself and created the software. And all of it is free. All of it is without opt-in. Uh, it's my contribution. And, uh, it is, uh, the only thing that sucks about that is that you have to work hard to get your contribution, like, taken by people and shared. Um, so that's that. Let's see here. Am I leaving anything out? Uh, let's see. I think that's it, guys. Like, uh, like I said yesterday, I stepped away from the computer once I finished the imprint challenge. It was just like, oh, I had enough. Um, I am gonna do a session later today where I am— Harry set it up for me— where we're— I'm gonna have a 3-way conversation with, uh, Fable 5 Ultra and Codex 5.6 Ultra. And I want to try and get to the bottom of like why I feel that the, the 5 models are, seem to be there. They seem to forget simple things, things that it shouldn't forget. And I'm not sure what that is. And I want to figure that out because I have had— I've had more challenges with AI in like the last couple of weeks than I have had in a while. Let's see, what's the question here? Is the goal to have enough judgment cases to establish patterns and then hardcode them using Python? Can we at some point hardcode judgments or it stays in the hands of the LLM as a mirror? You're kind of on the right track, but not in the direction that you're going. The goal is to have enough judgment cases to establish patterns so that an ontology can be built out, so that the relationships can be more brought present, so that the— so that that web, right, that these— all these judgments are connected to one another through relationships. It's those relationships that actually make the system much, much more valuable, precise, and accurate. And, um, but right now this is somewhat theoretical, uh, in that like no one has a fully built-out imprint that does everything and anything. This is more— this is my hypothesis, this is what we're working towards. And I've seen enough of a benefit when everything's in place to know that this is the path. But it's still new. And the— and it's that ontology that will really amp it up. So I wouldn't necessarily say it goes to Python, um, but it does go to a much more evolved way of it being stored. And maybe it'll be another way, like, because like I, as I've mentioned on these calls, on these live streams, I'm going to fund a hackathon and have a big prize for someone who builds a much better Imprint. Because I think the world needs it, and I'm happy to kind of be the benefactor. What was the main lesson that I learned? Well, I learned this wasn't the big lesson, but I learned that Codex Research Chronicles can. Watch over Zoom and answer the questions in the chat. That's kind of cool. But the— I guess what the main lesson I learned was like the best way for me to teach people how to have an experience of the imprint. And, and that wasn't apparently obvious to me when I started the challenge, but was obvious to me by the time I finished it. To coincide with that, I always get my best ideas about 90% of the way done. So that was the big lesson. But I think we'll cut today short. I'd rather keep these short than just go on and on. And I will come on Monday with some heat because I'll have all weekend to think about it. And we will— maybe we'll talk about the Grok Bot. 'Cause I definitely wanna play around with that this weekend. Maybe we'll talk about Buzz. Both of these things could be valuable for your business. They might be valuable for my business. That's why I'm gonna find out. And, uh, the next step of the imprint is just to give more and more feedback, make sure it's working. We have to update it. There's some updates that I wanna make to it. Um, I gotta track those down 'cause I had a conversation about it yesterday and then I decided I didn't wanna do those things. I wanted someone else on my team to do those things. So I have to track down that document and then get it to the team. But we'll be consistently improving it. And as long as you check out GitHub every once in a while, you'll see if you have the latest version or not. And have a wonderful weekend. I thank you guys for being here, and I promise you that on Monday I'll bring heat. So please come. And if you haven't read the manifesto yet, what a perfect time to do it over the weekend. and install Atlas and Imprint. And I'll see everyone Monday. To higher profits beyond, Rich Schefren over and out.