Time to talk about AI and your life.

Sa. Good morning, LinkedIn friends, Value First Nation. Welcome to another episode of Value First AI Daily, your collaborative intelligence report. It is Tuesday, January 20, 2026. How we doing, George B. I'm doing good.

How are you doing, Chris C. There you go.

I'm doing good, Doing good.

Yeah.

Hard not to right now. I feel like.

Did you have a long weekend?

Yeah, I ended up taking a lot of yesterday off, I'll say, from the usual stuff. Pretty hard to take a day off from having fun with AI right now.

Right, right. I would agree.

And I've been thinking a lot about the conversation we had on Friday talking about kind of some of the gotchas that come from AI based on its human training data set that it started with. But then on Sunday, maybe the most productive day of my life, I saw.

That, I saw that on Slack.

14 videos, 3 new pillar pages and really filling a gap where I've been doing a ton of content over the last two years. But in the way that I stubbornly want to do it right. Which is generally going live. Having a 30 to 60 minute conversation about topics that, you know, I think have been, aren't easy, like, aren't, aren't quick wins, aren't easily consumed in a 30 second video. All the while people are telling me, yeah, Chris, I don't want to watch a, an hour long video just to, to learn everything. That's not, not my jam. So the day has come where because all the long form content exists, I can now easily create videos and shorter content and all these gaps that as I think about how we're trying to help people think about AI, it's not about the time saved. Right. And I just wasn't doing that stuff like it wasn't getting done. And now that it doesn't take a lot of time, I am able to, you know, create and I've got some stuff to share. But I'm curious. How you help when people maybe show up and, and say like, well I ran into this issue or it didn't do this thing right. Or all these like kind of, you know, gotchas that people run into. Because it can be just a, you know, a mirror of what you're trying to accomplish. It can be very supportive no matter which route you're going.

Yeah.

As, as people share their stories about maybe not getting the value that they hear about. Like how do you usually talk them through that?

Yeah. Can I answer that question in a second? Because I actually have a couple questions for you and then, but, but the question is like when Somebody arrives at my doorstep, physically or virtually, and they're having a hard time getting AI to do what they want to do or getting activated with AI. What do I say? Yes, that's the. That's the question. Okay. Yeah. Before we get into that, Chris, the day that you did how many videos and how many pillar pages?

14 videos.

Three.

Three pillar pages.

Okay. Did you feel exhausted or did you feel full when you got to the end of that day?

I felt very full.

Okay. And I'm asking that question for a reason, because I want people to realize there is a historical difference of where we were and where we are now. Because if you were to ask somebody six months, a year, two years ago, four years ago, hey, hey, we're going to create, I'll even say, five videos in one pillar page today, they would have lost their everlasting mind. And if they did make it through that day, they would have been absolutely exhausted. So we live in a day where you can create a massive amount of content, not slop content that is of value, and you end your day feeling full instead of feeling exhausted. So I need. I need you, the viewer, to listener, to Maronite on that. Okay. The second thing is, Chris, I want to bring up, before I answer your question, is that it brings me great joy to hear that you're taking the content that you have created over the last year, two years that has been this long, form content that into this next phase. I'll talk about that next phase here in a second. But you said something that made me so sad. You said this, and I've heard this in it. It rhymes with something else that I've heard before, and I think that's why it makes me sad, is you said, hey, hey, hey, buddy, I don't want to listen to it or watching our video. That's not my jam. Learning's not your jam. Then becoming a better human, a better marketer, a better business owner is not. You like, learning was never meant to be easy. Now, in school, learning how to memorize was kind of easy. But learning to learn to do, to activate, to execute has never been easy. So. So, okay, okay. Pardon me. Sorry. But yes, you might need some shorter videos so you can watch the hour long in shorter chunks, because that's what you can do, because that's who you are.

Sweet.

But it makes me sad that anyone would say, I don't have the hour to invest in myself to be better after that hour's worth of time. Okay, so now here's the thing. The. The thing that I'm excited that you're getting into, Chris, is content confetti. That's what I love to call it. We start with a long form piece of content and then we create content confetti. For instance, one of the things like you, you, you now have a system, you now have a process where you know you've got all this content and now you can content confetti it and you can get out to people in these micro pieces or macro pieces versus enormous pieces. There has to be a moment of persistence. There has to be a moment of where you work through the beginning understandings and you work through the messy middle to become a master at the craft that you're trying to do. And so persistence is key here. Now, in persistence, what I have tried to get people to learn is quit saying the same thing, say it differently, stop what you're doing in research for a little bit. Is this something that a skill would fix? Is this something that a sub agent would fix? Is this something that. Understanding that there's a. Let's talk about copy. I'm going to get real nerdy for a second. If you're using AI and you know anything about copy and design, you. You know that there are these things called widows or orphans where it's like one word at the end of a paragraph and there's nothing with it and designers lose their everlasting mind. But have you ever stopped and said, hey, as you write these paragraphs or rewrite these paragraphs, AI assistant, I want you to make sure that you're watching out for widows and orphans. By the way, here's the Wikipedia page or here's the XYZ page on what a widow and orphan is. Make sure because you're a fricking math wizard that you're calculating the amount of characters and words to actually make this where this doesn't happen. Now you, the human might not think to know of the words widows and orphans, but if you do, you can say it. And so there's this level again of learning to know what to say to the thing to get the results that you want to get. By the way, this is why many humans go to therapists. The therapist knows what to say to extract the thing out of you to get you to do the thing that you really wanted to do in the first place.

Yeah.

So, Chris, long answer, short piece of it, persistence. Like, keep after it. Keep learning, keep trying, and eventually you'll have that aha moment that we've all had. And as soon as you have that aha Moment it's over, you will continue to like, iterate and create, Iterate and create. And then you become into this, this world where you have the 5,000, 10,000 hours and you become a master at communicating with context to your AI assistant for the human powered thing that it is that you're trying to do.

Yes. That therapist that asks good questions and spots the patterns that you're not spotting. I love the nuance that you shared about saying things differently though in terms of, and this is one of the gotchas with AI, I think, like if you can be persistent and say the same thing over and over and it will not like find. It will not try to pull itself out of that loop where a human might be like, no, no, no, George, you just said that three times now. I'm not getting it because you're not liking what's happening now. So let's think it through. Right. And as I've mentioned previously, I'm going to keep going hard on this AI native concept.

Yeah.

And that's what we're describing here. George like described his setup of, of obs and streamyard and these things. Right? That's AI native on the right. So embedded in operations, always present partnership. That thing about always like counting the number of characters or words or like when the human doesn't have to think about that, the human gets to focus on other things. Right. Context persists and compounds and AI orchestrates humans provide depth versus when you think of AI as a tool, separate, it's isolated tasks. Okay, I need it right now. Let me go get it. Like context can't compound and the human is still doing all the coordination and probably because they want some control as well. And so what I was able to do on Sunday, like not possible if I'm, I'm in this mode right here. And here's an example why, like if it's not that I didn't know, right? Like since 2020, right. Like you knew this, this was the ultimate like content marketing plan. Like if you can start with video and do all these things. But a lot of companies had teams and people know doing stuff like this. Agencies, like multiple agencies getting to this point. And what's interesting now is, I mean back then you'd, you'd find like, okay, we're good at this thing, so we're going to just do more of that now even if you're there with AI native mindset, you can start at any one of these places and get to the rest. Right. And that's what happens over the weekend. And it started with this video, which I shared several times last week live on client and prospect calls.

Yeah.

In it. And it's four minutes, Right. Talking about the unified views. It's got my AI cloned voice. And it was built from an interactive presentation which I started here. Right. So this is really. Let's. If we're thinking in these terms, like, I started with, like the slide deck.

Yep.

And now went to the video, and now it's so. And I got validation, like, throughout the week, like, okay, this is gonna work. Right. This is the short video. It's not. It's my voice and it sounds good and people are understanding the concepts. It's going slower than I would, and people appreciate that. Even though I feel like it's taken forever to go from one side to the next in this three second space.

Yeah, yeah.

Which I asked directly one time. I was like, guys, like, I feel like this is an eternity. Is it the right amount? Like, move it from side to side? And they're like, yeah, it gives me time to. To understand what just happened. I was like, all right, cool.

So. So, Chris, it's funny that you bring that up because take it from me that, yes, it's probably the right speed, because I have heard this and it is what it is. I've heard this many times during trainings with humans because we're trying to get a massive amount of information done in a certain amount of time. They're like, are you recording this? I'm like, yes. Good. I'm like, why? Because I want to go back and play it at 0.75 speed, which is different because most humans are like, I want to play this at 1.5. 1 point. No, can we. Can we just play it at 0.75 so it can have some breathing room? So I'm glad to hear that people are saying, yes, this is good.

Yeah, it was refreshing to hear. I did get one. Why are we watching this kind of feedback? Which is fine. And that person also said, let me go watch it four or five times, give you some feedback. Which again, just the ability to hit that content confetti mode, like you said, because every human learns a little bit differently, even though they all like video and visuals. And now. So with that in mind, and like, on Sunday, three concurrent Claude code sessions took me to nine videos covering the value path. Again, the presentations had already been done because they're built from website resources that already exist. And I needed to say, like, hey, time to bring everything together into a pillar page. So we got that Done. And then once that happened, I was like, okay, time to make one for the Unified Views page. All right. As we continue building. All right. Time to make one for the whole framework. Right. And that was after this super awesome feeling. Like five Core Beliefs video. And it's just like, this is what compounding looks like. And like, the crazy part, and I know this is not for everybody, but, like, I really was filled up after many hours. Three different cloud code sessions behind the scenes. Two of those were handling this. The other session was creating a VIP client portal situation for all of the clients. Right. Just stuff that this level of value creation. Right. You cannot get there if it's just a tool.

Yeah. Can we. Can we go back to help people move forward for a second?

Yeah.

Because you said something a while ago that I. I want to unpack here. And you said, like, listen, if you were talking to a human and you said the thing two or three times, the human would say, hey, can. Can you try to. Try to communicate this with me in a different way? I'm. I'm not understanding what it is you're asking for. Right. That's just, I've. I've been there, done on both sides of the fence. By the way, I would ask you, as you watch this, have you gone into your custom instructions and is there a custom instruction on if we're communicating and you don't understand me? You have the right to tell me that you don't understand me and to please try to give this to you in a different direction as you sit and watch this. Have you added to your memory a rule like that as well? Like, anytime that we're talking and you don't understand what I'm asking for, you have the right to let me know. I'm not exactly sure what you're asking for. Can you get more specific or can you go at this a different direction? I bet you that 90% of the people Chris watching or listening to this dog do not have a rule in place for that. Because I don't have a rule for that. Because until you said that, I didn't think about dang gone. Like, that is actually a very crucial AI assisted because it feels more human thing that should be in the system. So, ladies and gentlemen, I would want you to think today, do I want to add that? Should I add that? And if I add that, what exactly do I want the output to be when we hit those scenarios? And where should I put that in my current system so that it invokes itself whether it's in Chat, GPT, Claude, code Claude, whatever, Perplexity, Gemini. But gem, obviously, because it's a custom instruction. Where, where and how should you implement that in your life to maybe get better results? Especially when you're first getting started. Because I feel like those are teachable moments where it could, it could be like, maybe it's. And teach me, like, what I need to say or what you think I need to say or like, you know what I mean? Like, it could even be a little helper at that point.

Yeah, no, that's like, oh, man. You want to feel like it's inevitable that you get there, but we hadn't gotten there yet. And like, yeah, again, it comes back to what we all have known and now what AI knows. And like, what it told me was like, to create enforcement rules like, don't do this, don't do this. Instead of, instead of just like, here's the space to say you don't know. Right. Making that very clear. Because that would solve. And this is why, like, if you're not in this mode of, of collaborative spirit.

Yeah.

You're not going to tell it to take a step back. Right. Like, that's happened several times. People ask me about, like, how do you get out of the loop where it just can't find the problem? And I got it took me a minute, but now I don't let it loop very often. Like, you just sense it right away and you're like, hey, take a step back, dude. Like, you're not, like, we're not going to go through this. And as soon as you ask for that. Right. It will, but it'll be interesting to see if we can get it to, like, have that always on. Please confirm if you don't know kind of mentality because. And this is what we started talking about on Friday. Most conversations about AI focus on what AI can do. They miss the critical question, what has AI been trained?

You believe? Yeah.

Every large language model has been trained on millions of documents, articles, blog posts and business content. That training data has patterns and those patterns carry assumptions about how business works. And when you're in a position like mine, and I'm trying to help people get out of the traps of modern business, AI directly cannot help you do that because it's also learned on how to, like, be in those traps. So, like funnel thinking, calendar pacing, prioritization, obsession, quick wins tool, centric framing. And like, it will confidently recommend the same patterns that are, you know, best practices, because that's what it was taught. Right. And as I've Started expanding on this. You can get. So there's 12 traps here that you know, it will, it will go all in with you. Like, if you say, I'm trying to do this thing, it's just been very informative in terms of like, if you want it to be just an assistant, it will do that and it will do that very well. But it's not going to challenge and it's not going to help you break, you know, it's not going to transform.

Oh, man. Don't, don't even get me started. We don't have time on this episode. I'm literally looking at what time it is to get me started on challenging. I went through a process Monday morning where my AI assistant and what we were going through was kicking my butt mentally in a good way. By the way, Chris, that's probably a whole nother episode. But like, there is so much more that you can probably do and to ask for. If you just go to this page that Chris is sharing valuefirstteam.com about AI native and start to think about these gotchas and how you get past just the assistant mode in tool mode and go deeper. Go ahead, Chris.

Sorry, yeah, no, we'll end with this. This is what says it all. Because this has been very hard and I'm still working on ways to make sure he avoids this. Because as soon as I sense it, I say, have you, have you brought in that skill yet? Like, no, I didn't. And without me asking him to, he'll correct his statement immediately. The quick wins table with time estimates is classic training data. It's how consultants present options to clients who need to feel in control of prioritization. That's human paced thinking, not AI native execution. It can help you get to the AI native execution part. And that's why we're here every day. And we're going to continue being here every day to do what we can to show you and help you understand. If you got questions, we're here, don't hesitate to reach out.

Yes, sir.

Until next time, George.

Have a great day. Ladies and gentlemen.