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The world could be a utopia.

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And I'm not saying that hyperbolically, I, I truly believe there's a first

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time in history where we could create our way out of this issue

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and, and create so much abundance.

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Every human being on the planet will have more than enough, even if they use a lot.

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So it's not universal basic income.

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It's like money doesn't have meaning anymore and everybody

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has a very high quality of life.

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all of the problems that you set out to solve are actually solvable,

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but it's not gonna be with more people and more headcount and

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more burnout and more late nights.

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It's just not you gotta, you gotta up your game and start

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thinking in scalable systems.

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If you don't have an AI slash robotics enabled company in four years, you're

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not gonna be in business anymore.

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Full stop.

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You're already here first.

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Sorry.

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All right, Brad, so I'm kind of curious when I look at you, you know,

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you've been in all the masterminds, you've been basically in everything.

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We'll talk 'em all through.

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But if you were to and, and now you're teaching people how to build these

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incredible systems that build leverage, that was never possible before.

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If you were to start all over, all over again, what's the first

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system you would focus on and why?

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Well, it depends on what part of my career you're talking about.

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I guess early on I didn't have all the really cool, uh, tools that we have

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today, but now it's like every single problem is potentially solvable in our

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time that humans have dealt with forever

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So let's talk about

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now

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then.

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and business owners specifically, like I, I really geek out on SMBs.

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I was, I had a meeting with my team on Monday and we kind of mapped

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out like some of the messaging for the new platform we're rolling out.

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And, uh, one of the things that kept coming up is like, we're not really

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the a hundred million person consumer app, and we're not really the a hundred

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million dollar enterprise app, at least, you know, not in the current iteration.

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But, uh, what we are really is, is we're serving the people who, uh,

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you know, basically need us the most is like, they're not, you know, I,

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I was in San Francisco recently.

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And I got to meet the people who, who create the ai, right?

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And the agentic SDKs and the MCP protocol and all this stuff.

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And yeah, they create that stuff and they publish it, and then they donate

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it to a foundation and people adopt it.

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But it's mostly open source.

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There's nobody really championing it for small business.

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So like all this AI amazingness that that business owners desperately

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need, they're still using chatbots that are built for consumers.

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There's no real great business.

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Use case.

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you know, to answer your question, I think I would, I would focus on the thing

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that works in the real world, the hard work, the smart work, the flow work.

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Like what, what is an actual value adding process in the real world, um, whether

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that be a sales process, a marketing process, an operational process, a

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delivery process, and then finding a way to take humans outta the loop.

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And that's not to say that humans aren't valuable.

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They just shouldn't be doing repetitive crap that an AI can do.

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They should be humans being, not humans doing.

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Right?

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Uh, so early in my career, it was like learning that it's a real problem

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to cross over the 10 employee or contractor threshold in the business.

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And people who solve it, they tend to solve it.

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Uh, and then they get to 30 50 and they go from there.

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But people who can't solve it, they keep getting beat back down, and it's

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really hard to scale your business.

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But now, not so much anymore because now we have like actual leverage tools that

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can go from, you know, if you get an AI to do it, it might take you 25% more time

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in the initial run, but then you can leverage at times a thousand,

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times a million, theoretically.

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Like it doesn't, it doesn't have a limit.

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Whereas more humans equals more complexity with humans and more drag with humans

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and more human beings doing human stuff.

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actually like what you started with, with the whole San Francisco

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trip and kinda seeing where, I guess the focus is with ai, right?

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And

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like most of where the money flows and also where the

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attention

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distracted 'cause my dog ran in and she was squeaking and

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you can't really hear it.

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But I, I kinda lost the thread of that story.

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But the, the point of that story is somebody stood up during this and

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it was mostly devs, so I understood about 70% what was going on.

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I'm a self-taught full stack dev, but not like classically, I never

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worked at a big company, so.

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They're answering questions, and I was really curious.

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This one guy stood up and he is like, Hey, if you could do X, Y, and Z, and he's

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talking to the guy from CloudFlare, we'd give you a hundred million dollars of year

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in business, and he says, can you do that?

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He says, yeah, we'll get right on it.

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They're like, is that easy?

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He is like, yeah, that easy, a hundred million dollars.

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We're gonna drop everything and do it.

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It made me realize like, oh shit.

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Like they're not actually incentivized to solve the problems in the middle market.

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It's like this trickle down thing, but the innovator's dilemma, like

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mandates that these big ass companies, it's hard to steer those big ships.

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You know, they're, they're trying to solve billion dollar problems

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and raise tons of money to build data centers and, and just really

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go all in on their core prop, right?

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So the, the reality is like somebody needs a champion who can cross the divide.

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These small businesses need a champion who gets their pain,

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who's been in it for 20 years.

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He's talked to tens of thousands of different business owners and

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seen what works and what doesn't.

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'cause by the time a software solution shows up, it's no

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longer a competitive advantage.

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It's not ip, it's just now the, the new, you know, table stakes essentially.

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You know, once, once somebody has go high level, everybody has go high level

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and now it's not an advantage anymore.

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So that's thing one.

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And then thing two is like.

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Um, the, the, the problem, the pro, the, the promise of SaaS was

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software as a solution, but really we just introduced more friction.

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So now you have 15 tabs open.

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You can't find anything, nothing talks to anything.

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It's a bitch to switch.

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Everything's expensive.

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It's a pain in the ass.

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I'm just like, forget all that.

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Let's be above your stack.

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Let's

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Yeah.

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plug in to all the tools you already know and love, and just allow you

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to use 'em all in one window and talk to it like an employee and run

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complex workflows and automations.

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With natural language commands as if you're just talking to

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a person instead of forget it.

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That's, that's the next level of compute.

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That's the next level of operating your business, not just just working

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in a job that you created for yourself.

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we have so much, so many amazing opportunities right now.

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But yeah.

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Speaking to these small business owners, these ones that are kind of

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caught in the middle, it sounds like,

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Yeah.

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I guess, what are the big, um, advantages right now?

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Like, so knowing that okay, we have access to all the same tools and whatnot,

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where is the, where's the switch for someone listening or watching right

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now where they can feel like they can really carve out a competitive advantage?

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Yeah, you build your own stuff.

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Uh, that's the best way, right?

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The, the gap between devs who understand open source and understand how to build

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and code and, and, and business owners who have real problems that if they

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could solve them, they, they could be billion dollar opportunities, but they

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just don't have the, the technical chops like that, that's getting smaller.

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I'm not saying tech is easy, but it's easier than it's ever been

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to the point where it's like, you know, I've been telling people

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stop writing nonfiction books.

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AI's gonna ruin that market.

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It's not gonna happen overnight.

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But like, why would you read a, a nonfiction book to get two nuggets

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maybe or five in a great one, and then 400 pages of fluff and stories

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that don't actually add value.

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And you could just ask the internet essentially, Hey,

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what, this is what I wanna know.

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Teach me how to do this.

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And you multiply that times, you know, thousands of hours of.

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Code it this way, use this tool.

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It didn't quite work.

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Okay, now let's learn why, and da, da, da and architecture and the like.

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You just learn.

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I've, I've shipped as you know, a relatively non-technical person.

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80,000 lines of production code, working a full platform full stack

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in, in less than six months by myself, mostly with, with just a few

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advisors and team members to help bad ideas around, but basically having.

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I'm doing it all myself, and I'm a lunatic.

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I am absolutely a psychopath.

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I do not recommend that I'm on the far end of the spectrum

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in a lot of different ways.

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Uh, but what that means is I can bring back what works and what doesn't

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to my lesser technically inclined people, or people that just don't

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have time to do that, even if they'd want to, um, and share like, okay.

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You know, I'll give you a real example.

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We have Dr. Anthony, uh, he is a dear friend.

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Long time.

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He's a client.

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He had this process that was taking him three to four hours to onboard, get

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blood work, get his, you know, results, and do labs and help the people and

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like really actually be there for them.

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And he was the only person who could do it in his whole organization.

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Then he enrolled 30 clients at one time.

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So you start doing the math, that's 120 hours of work.

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He was gonna have to just eat it, you know, and just do it.

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Um, but with ai, we broke it down into four steps.

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We designed the prompts in the system and then I actually coded him an app

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that essentially could get that result better than he could more consistently,

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uh, in about five or six minutes.

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And then he could just focus on the actual human part, which is

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like, Hey, here's all your reports.

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Everything that we do, I've double checked 'em.

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Now let's just go through them.

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Instead of me having to parse through every single stupid thing and 50 pages

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of blood results, it's crazy, right?

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And now any member of his team can prep that and send it to him

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yeah, man, that's incredible because like, so someone's probably listening

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right now, and I, I know I am.

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It is like 120 hours.

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You just condensed that by using

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Into less than an hour of prep.

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Yeah.

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Exactly.

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So, and anyone can do it

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Well, and it took me about three hours total from end to end to like extract

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all the knowledge, train the AI code, the thing, and now it's not gonna win

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any design awards, but it's a functional app that anybody in his team can use.

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And now that's IP that that can go along with that business

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couple things I wanted, uh, like double click on here is like, yeah.

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I think now we're in, in this world of just build it, like build it quickly.

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We all have the tools to, to do the thing.

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You know, you have, uh, I mean, we'll list out some of the tools, I guess, like

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what are the no code tools that you would.

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Typically

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I don't believe in no code.

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I don't think that's realistic.

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I think I believe in code translation.

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So this is what I believe in.

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You could take high, you could take high school Spanish for four years, go

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to Spain, not be able to order coffee, or you can go with a local guide.

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And day one you say, Hey, I want a coffee.

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They say, okay, great.

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Come to the cafe.

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Cafe cito, port Vo.

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You get a coffee.

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Mm-hmm.

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Cool.

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And now you're like, oh, that wasn't so hard.

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I could do that.

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Right?

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'cause you, you take the mystification, you take the mystification out of it,

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or I don't know what the right word is.

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You mystify the process.

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So with code or anything else, it's like you've been learning systems

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and how they work your whole life.

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Yeah.

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Everything that you do in your life right now is a system you had to learn from

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driving to going to the store, to paying your bills, to your mortgage, like all

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this crap that you kind of didn't know.

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And now, you know, and it's like once you know it, you kind of get it right and

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you understand what questions to ask and what's right and what's wrong and what,

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what makes sense and what what doesn't.

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And you just get better and better at like asking questions.

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And the more I do this, the more I see the whole world as a collection of systems

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that were designed to quote Steve Jobs by people who are no smarter than you.

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They just kind of defaults worked at the time and they haven't been redesigned

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in a while, and now you get to come and redesign them if you so choose,

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because there's, like I said, all the physical world is really made up of,

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you know, physical and digital worlds really made up of problems to solve

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Yep.

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and stuff that kind of works, but not a hundred percent and not

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as good as it possibly could be.

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Especially when you consider we have new tools.

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and and that's why you said like, we get to redefine this now and recreate

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for the first time in history, it's like leaps and bounds of possibilities

Speaker:

and, and different, so like the, the, the world could be a utopia.

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And I'm not saying that hyperbolically, I, I truly believe there's a first

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time in history where we could create our way out of this issue

Speaker:

and, and create so much abundance.

Speaker:

Every human being on the planet will have more than enough, even if they use a lot.

Speaker:

So it's not universal basic income.

Speaker:

It's like money doesn't have meaning anymore and everybody

Speaker:

has a very high quality of life.

Speaker:

'cause there's just so much, it's like irrelevant

Speaker:

Break that down a little bit more because like your think

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your thought pattern, because I feel

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economic, every economic system that's ever existed.

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'cause there's been a lot, we're currently in late stage capitalism, but there's

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been, you know, feudalism and mercantilism and some guy invented the stock market

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and some guy had the tulip bulb thing and like just, it was all systems that

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kind of, at the time made sense and no longer do, like we don't use feudalism

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anymore 'cause we have a better system.

Speaker:

I'm not saying capitalism is the last one that'll ever be invented, but they're all.

Speaker:

Every one of them to a T have been predicated on the notion of scarcity.

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Every one of them, there's not enough for everybody.

Speaker:

Therefore, we have to find a way to distribute this based on power, based

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on economics, based on value, based on a means of exchange, based on what?

Speaker:

Nepotism, whatever the F. Right?

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And, and now like for the first time in human history, we actually have AI and

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robotics that could potentially create.

Speaker:

More abundance, food, utility, shelter, education, whatever, to make

Speaker:

it as so abundant as to be near free.

Speaker:

Stuff that we just take for granted.

Speaker:

Like, you know, you plug the, the thing into the wall and the electricity works.

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And the electric bills aren't crazy.

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Like most people can afford them.

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That's why most people have electricity and most countries, you know, I'm

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not saying everybody everywhere.

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I'm not saying that, but I'm saying that there is a world where we keep driving

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this down and it only gets faster.

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Mm-hmm.

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It's, deceptive to people because they think linearly and they think locally.

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They don't think globally and exponentially, and they don't

Speaker:

think how fast it's actually accelerating, especially as AI comes

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online and becomes more capable and then robots right behind it.

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Oh, that's coming up like this coming

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Yeah.

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I think we're two years out before robots are everywhere, like humanoid

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robots that are really functional.

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And I was in San Francisco, uh, like I said, two weeks ago, three weeks ago, and

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I went to a lot of meetings just to kind of get a state of affairs on, on this.

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And I went to one where.

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I was in a room with a robot that could move so fast.

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It was this little dog robot that could move so fast I couldn't see it.

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Wow.

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Like it was, it was over there and it was over there and it was like,

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it was a little flit in my vision.

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Like if, if something flew past you and you just didn't quite recognize it, like

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I didn't have a mental model for that.

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And it moves like a dog, right?

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It moves its legs and goes like it is like, and it can do handstands and

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flips and all kinds of shit, and it's so fast you can't see the damn thing.

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And I'm like, that's scary as shit.

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I hope we, I really hope we use that for good because that changes the game.

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I mean, we're, we're creating trillion dollar aircraft carriers

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that won't be done for 10 years and already they're obsolete.

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Oh, absolutely.

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I'm

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10,000 drones could be pumped out.

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Any one of that, them could sink that thing.

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Yep.

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Well what's your take?

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Because yeah, that's why I asked about like the economics and it's funny,

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interesting you brought up robots.

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'cause yeah, my 6-year-old daughter saw some robots recently and talked,

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you know, and saw the humanoid stuff, what Elon was talking about,

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and she was like, that's scary.

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I'm like,

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It, can be.

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it

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can be.

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Yeah.

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And that's why I'm like, obviously as a

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that, that's kind of where I keep coming back to is like

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we have this inflection point.

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Correct.

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You can put your head on the sand, you could do the ostrich thing.

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You let other people decide based on their values, how this is gonna go.

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You know, you can talk about it west versus east.

Speaker:

You can talk about China versus the us, but like I think there's a non-zero

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chance that we could completely screw the world over and live in a terrible

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place or just end it and there's a, a very good chance, actually,

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it's a very highly likely chance.

Speaker:

Based on the distribution of what I would call positive sum values

Speaker:

across the world, that this ends up being a really positive thing.

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But you need people who have wisdom to guide this.

Speaker:

They can't sit on the sidelines.

Speaker:

You can't be a business owner and say, I'm in for a penny and for a

Speaker:

pound just say, oh, I, I make a, I make my 200 grand a year and I'm good.

Speaker:

Mm-hmm.

Speaker:

like, why'd you get into business?

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You didn't get into business till like.

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Survive or just have another job that you gotta manage.

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It's like, no, you get got into business to thrive and

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solve problems and help people.

Speaker:

It's like all those things are more possible now than ever.

Speaker:

'cause you can train an AI or a robot to do something and then it can do

Speaker:

it times a thousand, times a million.

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Whereas if you train a human, good luck.

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Well, and then you're dealing with emotions.

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You're dealing with egos and all this other stuff in the middle

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that that muddy the waters,

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Yeah.

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Well I just, and I don't think, see it as replacing humans.

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I see it as augmenting humans.

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Let's give all the humans most of their time back and let them do more human

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things and focus on the next version.

Speaker:

what's the shift?

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Because yeah, it's a mental shift that we get to make for ourselves as humans

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during this whole phase that most people have no clue it's even happening.

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So I think there needs to be an awareness happen.

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You know, hopefully this is part of it, but there's other podcasts

Speaker:

and shows starting to do that.

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DI of A-C-E-O-I know was putting out a whole bunch of AI related episodes that.

Speaker:

Is getting more mainstream, which is great, but What's that?

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Yeah.

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What's that mental shift?

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It almost sounds like more creation and

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People think this is a topic and they think it's niche and therefore

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they think they can ignore it or it's somebody else's problem.

Speaker:

This is, as Elon Musk put it, love 'em or hate 'em, don't bet against them.

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This is a super sonic tsunami that affects every industry, top to bottom.

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People say, oh, what industries you focus on.

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All of them.

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Mm-hmm.

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' cause I'm industries are kind of a. A kind of acute relic of a bygone era.

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It's like everything affects everything now and everything's being enabled by

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tech and tech's only getting faster.

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Yeah.

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And I'm talking to guys who install garage doors and work on elevator contracts,

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and I'm talking to high tech people and, and all these different people.

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They have the same problems.

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They all need an offer.

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They all need to sell it.

Speaker:

They all need leads, they all need operations help, and they

Speaker:

all are gonna be affected by AI and robotics sooner or later.

Speaker:

It's

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So they get to choose, right?

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Hey, am I gonna lead this shift or am I gonna follow it?

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And following it is, is a sure path to death.

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You don't have, you have about four years.

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2030 is the inflection point.

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If you don't have an AI slash robotics enabled company in four years, you're

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not gonna be in business anymore.

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Full stop.

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You're already here first.

Speaker:

Sorry.

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So get on the train or don't,

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it's the thing, yeah.

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We have the choice to do this right now and yeah.

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I kinda wanna go back to like what you said, start building your own stuff and

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'cause so you do this with optimists and happy, you know, I'd love for you

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to break that down 'cause it's, and then also, but I also wanna walk people

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through, I guess the mental model of like how they start to do that.

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Like, kinda like the doctor that you're working with, a hundred, 120 hours was

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like looking, staring him in, in the face,

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And there's a thousand other doctors that have that same problem that,

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that just aren't my client yet.

Speaker:

So I could give them that playbook.

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'cause we already did it for Dr. Anthony, why not for you?

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And you'll have a million questions as to why and how do

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we, you know, make sure it's good.

Speaker:

And yes, you can keep a human in the loop and HIPAA and all that crap.

Speaker:

We can work through that.

Speaker:

But the reality is like you can't ignore that.

Speaker:

He is now 99% more efficient and getting better results for his clients

Speaker:

and able to bring on 30 clients at one time without it being a nightmare.

Speaker:

So, yeah, like how do, how does someone.

Speaker:

If they're listening, watching, like how do they walk through that kind of

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process, maybe for themselves or their

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So

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it's really four steps, and this is kind of going behind the curtain a

Speaker:

little bit, just to give you a sense.

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But, uh, you know, I, I do this thing.

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So there's, there's this thing called in around called vibe coding, where people

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like, you know, go in a room and like put on some music and just like tell

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the AI to build stuff and you'll get kind of diminishing returns on that.

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I think after a while you need to get serious, but to build like a

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single function, one purpose app.

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That's, that's pretty fun and pretty cool, and I recommend you

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do it or just stick up a website.

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It won't be the best website, won't be the best app, but it's like

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something cool that you could do then.

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I was like hearing all this chatter about people who are like, I'm gonna

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vibe code a billion dollar business.

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I'm like, like, fuck, you are right.

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Excuse my language, but like, you know, the likelihood that some dude in his

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mom's basement with no distribution and no business sense is gonna go build the next

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billion dollar thing is just laughable.

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And even if it was true, it sounds lonely, boring, and shitty.

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I'm like, well, I kind of wanna do it with all my friends so we could all get fed

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better, faster and keep each other sharp.

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Iron sharpens iron's kind of the point of a mastermind.

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So I'm like, I'm gonna approach this from a new angle.

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I call it tribe coding

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Okay.

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I like,

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Trademark.

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Tribe coding, right?

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So, so now we're all building together, we're all learning from each other.

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What's the best ways to do it?

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We hit roadblocks.

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We help each other work through them.

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Like just recently, um, I was, uh, I was running the problem that

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my project was getting too big.

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hmm.

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For AI to keep it in context.

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And yeah, there's different AI at different size context windows, but

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not all of them are good at code.

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So like of the ones that I wanted to use, I could only really focus on like

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a narrow subset of a particular app.

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And then I had a breakthrough.

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I'll just share one.

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I've had many.

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But, um, I was able to design a system by which AI diagrams the system as is

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so that it could use less context to understand the different

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components of the system before it went in and, and made changes.

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So instead of having to start from scratch in every context window, which

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is still a problem of ai, you know, you got 200 tokens, 200,000 tokens, and

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you're done now in like 10,000 tokens.

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It can get up to speed and know where all the components live

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and not have to do any searches.

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It could just look at the diagram and at the end of it it can update

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that diagram if there's been changes.

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So, like that one little thing, I'll just share, uh, my screen real quick to

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give you a visual what that looks like.

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If there's people who wanna see it, uh, changed everything.

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It's, you know, you gotta look for these little.

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Bits that, that make everything different.

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And this is great for vibe coding, right?

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For

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any

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kind of coating.

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So like this is, hold on, let me share it right now.

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Uh, can you see this screen here?

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Yeah, it's

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So most people won't know what the hell all this means, but this is like

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a main function of my app that's like architecture and there's different phases

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and it goes through different files and it's just basically like a decision tree

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for the app to be able to be like, okay, here's what's what and where it all lives.

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And then AI doesn't have to go through each time and figure it out.

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And I can do that for main components.

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Um, ba basically it's just like a, it's an innovation.

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I'm working within the limits of a tool.

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Obviously this is not day one stuff like I've been at this for

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a while, but it's valuable for me.

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And then anybody else I work with.

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Because AI can't really read a mural board.

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It can't really read a whiteboard the way that I could.

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Like my handwriting's terrible.

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So like I just found a way for it to design its own map.

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That is also useful for me that now we're both on the same page and I can

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just go to the specific part of the app that I'm working on and I got a map

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and then we update the map over time.

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'cause the map is not the territory, but it's a hell of a lot better than, you

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know, if you have enough maps, you can approximate the territory, I guess is a

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Right.

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And, and, and if it's made in the way that the AI can read and, and of

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course that it's you, you definitely need to organize all this information.

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And my brain goes to like, what do you use to organize all of these

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different files to make sure that it's referencing that in the most updated form.

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right?

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'cause you're, you're gonna burn well and then it gets it wrong and it fixes

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a thing that's not actually the problem.

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Correct.

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And then you created another problem.

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'cause now you gotta ghost, you gotta chase down later.

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Because you don't know all the cascading effects, especially

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when you get to a complex app.

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Like if it's a single function app, fine, it either works or it doesn't.

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But when you get into a platform level, like it's, it can be a nightmare.

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So anyway, the, the reason I'm, I'm sharing that is it's a more

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complex example that people are gonna be like, holy crap.

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But I don't want you to get intimidated by that.

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The reality is I show people very basic tools that all of a sudden now they're

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putting up websites and apps in minutes.

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That they vibe coded themselves, tribe coded themselves, and then

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they can iterate, but it's a new paradigm that they didn't have before.

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The old paradigm is I gotta wait for somebody who has technical

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knowledge and expertise.

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I gotta find the right person who I can trust, who isn't gonna cost a

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fortune, who actually wants to work on my problem, and then finally,

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uh, manage that person to success.

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All of those things are break points that don't work.

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And I have countless stories of business owners trying to hire

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devs to build whatever, that it just never gets to fruition.

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Or they spend a ton of money and, and then it's a pain in the

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ass to maintain and more money.

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And it's like you would be shocked at how many people I've talked to that have spent

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half a million to a million dollars on an idea that's never seen the light of day.

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Man it

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It's like, why would you take a few hours and see what's possible by

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yourself before you go hire anybody?

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Because at the very least you build an MVP, you build a little prototype,

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and then you bring it to the devs and say, make this nice, make this pretty,

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make this scalable, make this whatever.

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But here it is.

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This is the way I want it.

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And see that's a beautiful, like what's accessible to everybody right now, and

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I feel like a, a big gap is this mental model of just start building stuff.

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Like you don't have to wait for anybody.

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Yeah, there's no

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literally just use your voice and start.

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and I'm here as a Sherpa to guide people 'cause I as, as unsexy as this is.

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Everybody wants to know the prompt that's gonna make 'em a million dollars.

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Like, we do that too.

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Fine.

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But you know, I think the, the fact that you can now build stuff in physical and

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digital space and automate stuff and physical and digital space changes the

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way that we're gonna approach business.

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It's not gonna be who can.

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Grind through and hustle harder.

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And you know, there's just, that doesn't scale.

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It's gonna be, or higher than most.

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It's gonna be who can design a system that scales and then get AI to run the system.

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So you have to find what AI can do and what it can't.

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Yeah.

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You have to figure out the right tools in the right order, in the right sequence.

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And yeah, it's a little bit more work upfront, but you've already got a bunch

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of processes in your business that already work or you wouldn't be in business.

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Now it's taking those and updating them for 2025 with the new tools.

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back to you, you were saying there's four steps where, um, you know,

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it was kind of peeling it back.

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I don't know if you went through this four.

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I don't, I don't know if I caught 'em all, but, um, kind of like if you have.

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A process in mind.

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Something that's just bogging you down.

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Totally.

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So plan, prompt, produce, polish.

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Ooh.

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Okay.

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Four piece.

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So the planning is like, you know, whiteboarding, you choose your tech stack.

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I help people guide through this.

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It's basically just like, here's our best hypothesis about how this could work.

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Cool.

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And it's taking your actual SOP and it's, it's, it's mapping it to, what's

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the new way it's gonna look then?

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Okay, you're the expert, so you're gonna need to build the prompts.

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But it's pretty easy 'cause AI can prompt itself.

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So really it's a function of like, what are the inputs, what are the outputs?

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How many examples do we have?

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Let's say we have five.

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I think five is a good number.

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So I know what the input looks like and I know what the output looks

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like of the system we're designing.

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And then I can give that to AI and say, here's five examples

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of, of before and after.

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Go make prompts as many as possible or as few as possible that, that

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allow us to transform A into B. And it goes off and does that.

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And then you go and play with those prompts manually

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and you say, okay, got it.

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Or it didn't until you're really happy with the output.

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That's what Dr. Anthony did.

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He took it for a couple weeks.

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He, he did it manually a bunch of times.

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He's like, okay, this is bulletproof.

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This works, these prompts.

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Not this.

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Not too many, not too few, right?

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Because the more you give AI to do in one shot, the worse it does.

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You have to break it into a number of chunks that it can do very reliably.

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Consistently.

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That one feeds into the next.

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Into the next,

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And hints that map, right?

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Like so you have, yeah.

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Okay.

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So it's like every single one of those, and that was more

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of a code specific example.

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This is more of like a, we're still working with Claude,

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we're still working with GPT.

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This is all stuff that you're probably familiar with already.

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Then we're gonna produce code, which actually runs that process.

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So we're basically taking the training wheels off, we're getting

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past the prompts, and we're saying, okay, now let's build that into a

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process where it can't mess it up,

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Hmm.

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Mm-hmm.

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a prompt is probabilistic and code is deterministic.

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Although you can have probabilistic elements, a prompt allows you to have

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flexibility within the model and have intelligence pick the best thing, but it,

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it can produce hallucinations and errors.

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It can just decide not to do it.

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And that can be a problem depending on what you're doing, but code, like

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if I just give it A-J-S-O-N script for example, you have to execute it this way.

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so that, that's the produce phase is like we're gonna actually turn that

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transformational process that we just outlined, that we know works that AI can

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do into code, that it can't mess it up.

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Mm.

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That could be a mix of code and prompts, and there's other ways to do

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that, but then we're gonna polish it.

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So like, okay, we've built the plan based on whatever was working already.

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We've prompted it, we've produced it, and then we polish it based basically saying,

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Hey, I want to have enough edge cases, thought through and figured out where.

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You know, this is a working thing that'll get us 95% of the way there.

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And we then we have a human in the loop just to make sure we have high quality.

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But you basically took a multi-hour process and turned

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it into a multi minute process.

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You took something that one person on your team can do and

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made it so anybody could do it.

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And then you've, you've created a way for it to be, um, consistent and

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scalable across your organization.

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And then as you get more of these processes built into little apps, if you

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will, then you can roll all that into one platform and that's your whole business.

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I got you.

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Cool.

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So that would be like the fifth p if I was to just kind of extrapolate, like

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you polish it now, you can platformat size it, so you take all of these and

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you start to put 'em into platforms.

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That's essentially what I did with Optimus.

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I built 30 different workflows and systems and tools, one of which, uh,

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added an additional 10 or 20 KA week to a business that I worked with.

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Yeah.

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In brand new revenue that just was slipping through the cracks

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in about two hours work, right?

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So these, these can make a massive difference, especially when you get

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really good and you know what to look for.

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You know, I've taken stuff like that.

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So like the massive amount of money made, the massive amount of time saved.

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And then this multiplies.

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'cause now you're, you're getting more money and time.

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You have more time to, to focus on what else could I do?

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And you get excited and enlivened by this possibility and you're like, oh crap.

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You know?

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And it doesn't have to happen zero to one.

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It can happen 40% better, 50% better.

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Like it's all time and money that you're getting back or making more of.

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That's

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That's right, and, and I'm, I'm assuming there's this iterative

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process based on feedback and all the new ideas that pop up.

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You're like, well, shit,

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But everybody's still in the old model of, okay, I gotta go hire X, Y, and Z, or let

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me get this agency, or let me whatever.

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It's like, no, start with the process.

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That works.

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That's the hardest part.

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Find a process that works.

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Find something that if you did it a hundred times, it would

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have enough of a success rate.

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And create enough of a profit or enough of a impact to, to wanna do that and then,

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you know, get past the idea of, oh, I have to do that, or Pearson has to do that.

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That's not the point.

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You need to find something that works first.

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That's

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the hardest thing you're gonna do.

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That's 80% of the work.

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If it works, it can work at scale.

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'cause even if you have a 50% success rate, but you can do it 250,000 times,

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well it's gonna work 125,000 times.

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So you gotta get outta your head of like, oh, this isn't perfect.

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Like, good enough is good enough.

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Then we can work on scaling it and getting it better.

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The better you can get it beforehand, great.

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But like I don't wanna slow anybody down because the reality is even if

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you took a kind of piss poor process and just made it better by automating

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it and leveraging it, it would be ultimately you'd get more out of it.

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More consistent.

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Yeah.

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More things show up and, uh, having human in the loop, uh,

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you know, talk about that.

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Like are your thoughts on that because that's, especially in these

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early processes, a human somehow still have an oversight over this,

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or at least during parts of it.

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If you think about it like a diagram, it would be input output.

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So one side, then the other side in between is the transformation.

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That's like the app or the, the code or the prompts or whatever it is that

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we use to, to get from A to B. And then the, the thing that draws from,

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um, output back to input is feedback.

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And the human is the feedback

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Got it.

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the human is saying, yeah, this is like we're batting 30% or we're

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batting 70%, or we're bat 95%.

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Like how do we improve that?

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Mm-hmm.

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' cause every time you get feedback, it gives you new information to feed into

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the system or, or tweak the prompt or tweak the code to make it better.

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So you're just running this feedback loop until it's like acceptably

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high where you're like, okay, we can move on to something else.

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Like we're getting diminishing returns

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on

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whatever the process is.

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So that's where the humans come in, is they, they just make the system better.

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So, like, there's an old joke.

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The factory of the future will have two employees, a man and a dog.

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And the man's job is to feed the dog.

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And the dog's job is to make sure the man doesn't touch the machine.

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But that's eventually where you get through.

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It's like, okay, this is just all running and it all works.

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And that was kind of the idea for optimists is like, we

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built 30 different things.

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They all kind of do different things in businesses.

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Let's start wrapping them together into a platform that allows you to

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connect your entire stack of apps.

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So we're not asking you to switch software, we're not

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asking you to buy new software.

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Take what you already know and love anything with an API.

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We plug it into Optimus.

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Then you talk to it like an employee and you can create complex

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workflows and automations without ever touching a line of code.

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So basically, yeah, you could speak through whatever the

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hell this process is, right?

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Like it's essentially what we're talking about here.

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We're talking about the manual way, but you've already built Optimus.

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This is, I've seen some of what you, you know, you've showed me some of this stuff,

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and it's fricking mind blowing because.

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It sounds like you've identified what the 30 main processes or things that

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most small business owners would need to know or have, and you could just

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speak with it and then hook in all these integrations without having

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to get what innate in savvy and, uh,

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No.

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Yeah, it, it alleviates a need for N eight N Zeer, make any of that crap.

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And, and not that, that's crap.

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It's a great platform.

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I'm just saying like, this is a new paradigm.

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You don't need that anymore.

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The, the, the idea is less menus, less things to log into,

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less things to think about.

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It's like one window through which you can run your business.

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You hook it up once and now it's talking to everything and

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it will only get more useful.

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And what's crazy is like, I don't know anybody else who could do this,

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who has like the small business.

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Environment, understanding the actual technical chops and like the

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vision and taste and experience and wisdom to like no, do less, right?

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Just make it cleaner.

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Make it simpler.

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Like at the end of the day, we're gonna have like one main menu and

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a couple of things like affiliate, ROI, you know, and, and automation.

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And that's it.

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Like, it's gonna be a really simple app, but massively powerful.

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It's gonna be like unsuspectingly powerful.

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And we're about three to four weeks out from beta launch.

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that's what I wanted to ask about.

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Yeah.

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It's like, okay, so what's the timeline?

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How's that look like for

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So right now, currently all of what I just described is, is in the app.

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I have some other features I'll probably keep in my back pocket that I wanna slow

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roll and just make sure they really work.

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Um, but yeah, we'll we already have it in Alpha on 45 of our client's machines.

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Uh, they're getting crazy results with it and super happy with it.

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And then we have, um, you know, 'cause I use the Mastermind as the way to

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fund this and fund the development.

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So I haven't taken any outside capital yet.

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I'm open to that, but it has to be the right fit.

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Um, and that's another problem is like VCs don't get it.

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They're thinking, is this a hundred million person consumer app or is this

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a hundred million dollar enterprise app?

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And they don't really

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care if it's in between.

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big boys.

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Yeah.

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this is an a real opportunity for somebody who really gets the pain of like two

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to 10 employees and you know, maybe up to 15, like that's hard to get past.

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And if you get past it, you're not thinking about software anymore.

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'cause you've already hired people that deal with that crap for you.

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That's true.

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Well, this is what's so cool is like you said, it funds with the Mastermind.

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So I wanted to definitely highlight, uh, your Optimist Mastermind because, uh.

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I think I'll be, well by the time this goes live we will have already

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done some, some, uh, you know, I've gone out to Phoenix and hung out

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with you and the, and the whole crew.

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But describe what you're doing there, because you've been a part of basically

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every mastermind that I know and way more, and, you know, there's a unique

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thing that, that you bring together that's probably not, it isn't normal.

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It seems like you're, you're doing a transformation in the moment

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with people, but also doing big good stuff for the world, you know?

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And these are the leaders that I described earlier.

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It's like, I don't want to just, you know, react to AI or hope it doesn't affect me.

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I'm like, I'm leading this.

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I realize it's, it's me.

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If it's, if it is to be, it's going to be me.

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So we have 32 businesses represented, uh, about 250 million in revenue combined.

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Um, these are typically business owners that have been in the

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game for five plus years.

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Some of them 25 plus years.

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Like they're just all over the map.

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Um, we have young folks, we have older folks.

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I, my, my oldest client's 72 and he's still crushing it.

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Um, yeah, my youngest people are like in their late twenties, right?

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So it's kind of a, it's a mix.

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Uh, but the goal that we all have is like, we wanna lead this, not follow it.

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We want to own our time, own our future, own our freedom, and realize

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like this is the first time in history.

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We could go from a very small.

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Portion of your tam to a very large portion of your TAM in almost no time.

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Geez.

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Right.

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And, and really your only bottleneck is gonna end up being

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distribution relationships.

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So we're all gonna keep each other accountable to like get our tech outta

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the way so we can focus on scale.

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And, and it's beautiful because like distribution's, the issue, well, that's

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kind of the power of masterminds, right?

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So you're getting people together, networking, viewing the human thing,

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You got a guy who's got 17 million emails sitting next to you in the

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Mastermind, that's a legit person.

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Like, you know, what can't you do with that?

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It's tribe coding, tribe building, it's all that stuff at the tribe.

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And it, it's fun.

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It's like, it's it people, it's so hard to get them to be like, okay, I'll do it.

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And it's like, it just feels harder than it is.

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And then they start doing it.

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They're like, oh, that wasn't so hard.

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I'll literally be talking to people and doing trainings and

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coding apps in the background.

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Yeah, I believe it.

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You know, it's like I've gotten so good at this stuff.

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Like I got two windows open all the time.

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Coding something, messing with something, researching something.

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And, and reality is like, I measure twi, you know that old

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saying, measure twice, cut once.

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It's really like I measure four or five times and then I cut once.

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Like, I'm so sure about the changes I wanna make before I make them because of

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that cascading effect I told you about.

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And by the time I actually make it, it's like, it so like it, it just

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requires a different level of thinking.

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But once you start thinking that way, it's like anything becomes possible.

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That's what really I teach is the frameworks and thinking style around that

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of like, okay, where's the puck going?

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How can we skate there and how can we support each other in getting there?

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And you know, us humans, we're always so, you know, stubborn

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with the old way of doing things.

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So as long as we can break outta that old minta model, that's my big takeaway

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I tell everybody, listen, if you're capturing 1% of your

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tam, I'll shut the fuck up.

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If you got a billion dollar, I'll shut up.

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Right.

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And if you're not, well, maybe you should come talk to us

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'cause we're on our way, man.

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And this is like such a, it's such a perfect time for people

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to jump in on this mindset.

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Go over there, go, um, I'll just shout it out, build with optimist.com so you

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can see everything that Brad's doing with the group and probably with Optimist

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as well, once that goes, um, public.

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But it is crazy.

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Um, I, I guess to kind of wrap it up here, Brett, well, is there anything else you'd

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wanna shout out or ways that they can

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Yeah.

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I wanna shout out to all the, the dreamers and the crazy people out there

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that like got into business in the first place and, and maybe have been doing

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it 5, 10, 15, 20 years, whatever it is.

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I've been in business over 20 years myself.

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Like it's the hardest and most rewarding thing I've ever done.

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It's the most spiritually, uh, enlivening and growth oriented thing I've ever done.

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The sense of contribution you get is insane.

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Like, just remind yourself why you got into this.

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This is the, the first time in human history that we're aware of.

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That all of the problems that you set out to solve are actually

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solvable, but it's not gonna be with more people and more headcount and

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more burnout and more late nights.

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It's just not you gotta, you gotta up your game and start

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thinking in scalable systems.

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And that's literally the only difference between you and

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these Silicon Valley companies.

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They're just thinking big.

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That's it.

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that's Tim Ferris has said this many, many times before, and I

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might not say it perfectly, but it's like the, the reframe is what would

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this look like if it were easy?

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And not feel like it has to be a fricking grind to do all this shit.

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'cause it doesn't

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Well, and the first thing people, when I show them these kind of results,

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they're like, well, then what do I do?

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Like I don't, you work on something else.

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I don't know.

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Like you

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don't have to

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stop working.

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I work more than ever, but I'm building different things, you know?

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I'm excited about what I'm building.

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And you're having fun.

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I think that's a

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big takeaway is like.

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If you, yeah, once, and I urge everyone, it's like, if you haven't made a

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graphic with ai, go to Nana Banana.

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Like go to Gemini, go, go test some shit out.

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You know, if you haven't coated something, whatever.

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There's all these D. Just start getting some practice, some hands-on experience.

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Do it yourself.

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Don't touch, talk about it or delegate it.

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Actually do it because then your brain starts to do this

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whole rewire game, you know, and

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Yeah.

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Well, and I, I think, uh, Debs have had kind of the run of

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the world for a long time.

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'cause.

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It's so mis, they're almost like wizards.

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Like nobody understands how magic works, but code is not magic.

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It's just, it's just characters on a screen.

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And when you start learning what they do, and you don't even have to know

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what every single stupid thing does.

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When you start understanding how to think as a machine thinks you can build, as a

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machine builds and design things, like literally anything becomes possible.

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It's just can we figure it out or not?

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It's so damn cool.

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What, uh, I know you've already talked about a lot of exciting things, but I like

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to ask this at the end, but it's like, what's one thing that's just lightened

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you up for this, this year to come?

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Starting it out fresh right now?

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Yeah, I mean, I'm, I'm getting into the platform game.

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You know, I think all the most successful companies in the world

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are a platform of some sort.

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Um, so that puts me in a possibility of creating that next platform

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that changes the world and empowers SMBs to, to, to compete with the

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biggest companies in the world.

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Solid.

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' cause you take that speed and, and creativity advantage and you multiply

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at times millions and all of a sudden, like enterprises can't keep up with you.

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Mm-hmm.

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'cause they're too slow by, by their nature.

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It's like the difference between a DAO and an enterprise.

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You know, it's like that, that whole

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right.

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Well, you're, and it's literally changing lives, like people who will

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feel it, you know, the entrepreneurs in both time, wealth creation,

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their teams and families all beyond.

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So

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is the window and there's, there's gonna be a mess.

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Messy middle.

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So you better lead it 'cause

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Yeah.

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Well, I'm rooting for you brother.

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So thank you very much.

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And, uh, we'll do it again soon.

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Looking forward to Phoenix.

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But

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sir.

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the past.

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Thank you everybody.