The world could be a utopia.
Speaker:And I'm not saying that hyperbolically, I, I truly believe there's a first
Speaker: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:all of the problems that you set out to solve are actually solvable,
Speaker:but it's not gonna be with more people and more headcount and
Speaker:more burnout and more late nights.
Speaker:It's just not you gotta, you gotta up your game and start
Speaker:thinking in scalable systems.
Speaker:If you don't have an AI slash robotics enabled company in four years, you're
Speaker:not gonna be in business anymore.
Speaker:Full stop.
Speaker:You're already here first.
Speaker:Sorry.
Speaker:All right, Brad, so I'm kind of curious when I look at you, you know,
Speaker:you've been in all the masterminds, you've been basically in everything.
Speaker:We'll talk 'em all through.
Speaker:But if you were to and, and now you're teaching people how to build these
Speaker:incredible systems that build leverage, that was never possible before.
Speaker:If you were to start all over, all over again, what's the first
Speaker:system you would focus on and why?
Speaker:Well, it depends on what part of my career you're talking about.
Speaker:I guess early on I didn't have all the really cool, uh, tools that we have
Speaker:today, but now it's like every single problem is potentially solvable in our
Speaker:time that humans have dealt with forever
Speaker:So let's talk about
Speaker:now
Speaker:then.
Speaker:and business owners specifically, like I, I really geek out on SMBs.
Speaker:I was, I had a meeting with my team on Monday and we kind of mapped
Speaker:out like some of the messaging for the new platform we're rolling out.
Speaker:And, uh, one of the things that kept coming up is like, we're not really
Speaker:the a hundred million person consumer app, and we're not really the a hundred
Speaker:million dollar enterprise app, at least, you know, not in the current iteration.
Speaker:But, uh, what we are really is, is we're serving the people who, uh,
Speaker:you know, basically need us the most is like, they're not, you know, I,
Speaker:I was in San Francisco recently.
Speaker:And I got to meet the people who, who create the ai, right?
Speaker:And the agentic SDKs and the MCP protocol and all this stuff.
Speaker:And yeah, they create that stuff and they publish it, and then they donate
Speaker:it to a foundation and people adopt it.
Speaker:But it's mostly open source.
Speaker:There's nobody really championing it for small business.
Speaker:So like all this AI amazingness that that business owners desperately
Speaker:need, they're still using chatbots that are built for consumers.
Speaker:There's no real great business.
Speaker:Use case.
Speaker:you know, to answer your question, I think I would, I would focus on the thing
Speaker:that works in the real world, the hard work, the smart work, the flow work.
Speaker:Like what, what is an actual value adding process in the real world, um, whether
Speaker:that be a sales process, a marketing process, an operational process, a
Speaker:delivery process, and then finding a way to take humans outta the loop.
Speaker:And that's not to say that humans aren't valuable.
Speaker:They just shouldn't be doing repetitive crap that an AI can do.
Speaker:They should be humans being, not humans doing.
Speaker:Right?
Speaker:Uh, so early in my career, it was like learning that it's a real problem
Speaker:to cross over the 10 employee or contractor threshold in the business.
Speaker:And people who solve it, they tend to solve it.
Speaker:Uh, and then they get to 30 50 and they go from there.
Speaker:But people who can't solve it, they keep getting beat back down, and it's
Speaker:really hard to scale your business.
Speaker:But now, not so much anymore because now we have like actual leverage tools that
Speaker:can go from, you know, if you get an AI to do it, it might take you 25% more time
Speaker:in the initial run, but then you can leverage at times a thousand,
Speaker:times a million, theoretically.
Speaker:Like it doesn't, it doesn't have a limit.
Speaker:Whereas more humans equals more complexity with humans and more drag with humans
Speaker:and more human beings doing human stuff.
Speaker:actually like what you started with, with the whole San Francisco
Speaker:trip and kinda seeing where, I guess the focus is with ai, right?
Speaker:And
Speaker:like most of where the money flows and also where the
Speaker:attention
Speaker:distracted 'cause my dog ran in and she was squeaking and
Speaker:you can't really hear it.
Speaker:But I, I kinda lost the thread of that story.
Speaker:But the, the point of that story is somebody stood up during this and
Speaker:it was mostly devs, so I understood about 70% what was going on.
Speaker:I'm a self-taught full stack dev, but not like classically, I never
Speaker:worked at a big company, so.
Speaker:They're answering questions, and I was really curious.
Speaker:This one guy stood up and he is like, Hey, if you could do X, Y, and Z, and he's
Speaker:talking to the guy from CloudFlare, we'd give you a hundred million dollars of year
Speaker:in business, and he says, can you do that?
Speaker:He says, yeah, we'll get right on it.
Speaker:They're like, is that easy?
Speaker:He is like, yeah, that easy, a hundred million dollars.
Speaker:We're gonna drop everything and do it.
Speaker:It made me realize like, oh shit.
Speaker:Like they're not actually incentivized to solve the problems in the middle market.
Speaker:It's like this trickle down thing, but the innovator's dilemma, like
Speaker:mandates that these big ass companies, it's hard to steer those big ships.
Speaker:You know, they're, they're trying to solve billion dollar problems
Speaker:and raise tons of money to build data centers and, and just really
Speaker:go all in on their core prop, right?
Speaker:So the, the reality is like somebody needs a champion who can cross the divide.
Speaker:These small businesses need a champion who gets their pain,
Speaker:who's been in it for 20 years.
Speaker:He's talked to tens of thousands of different business owners and
Speaker:seen what works and what doesn't.
Speaker:'cause by the time a software solution shows up, it's no
Speaker:longer a competitive advantage.
Speaker:It's not ip, it's just now the, the new, you know, table stakes essentially.
Speaker:You know, once, once somebody has go high level, everybody has go high level
Speaker:and now it's not an advantage anymore.
Speaker:So that's thing one.
Speaker:And then thing two is like.
Speaker:Um, the, the, the problem, the pro, the, the promise of SaaS was
Speaker:software as a solution, but really we just introduced more friction.
Speaker:So now you have 15 tabs open.
Speaker:You can't find anything, nothing talks to anything.
Speaker:It's a bitch to switch.
Speaker:Everything's expensive.
Speaker:It's a pain in the ass.
Speaker:I'm just like, forget all that.
Speaker:Let's be above your stack.
Speaker:Let's
Speaker:Yeah.
Speaker:plug in to all the tools you already know and love, and just allow you
Speaker:to use 'em all in one window and talk to it like an employee and run
Speaker:complex workflows and automations.
Speaker:With natural language commands as if you're just talking to
Speaker:a person instead of forget it.
Speaker:That's, that's the next level of compute.
Speaker:That's the next level of operating your business, not just just working
Speaker:in a job that you created for yourself.
Speaker:we have so much, so many amazing opportunities right now.
Speaker:But yeah.
Speaker:Speaking to these small business owners, these ones that are kind of
Speaker:caught in the middle, it sounds like,
Speaker:Yeah.
Speaker:I guess, what are the big, um, advantages right now?
Speaker:Like, so knowing that okay, we have access to all the same tools and whatnot,
Speaker:where is the, where's the switch for someone listening or watching right
Speaker:now where they can feel like they can really carve out a competitive advantage?
Speaker:Yeah, you build your own stuff.
Speaker:Uh, that's the best way, right?
Speaker:The, the gap between devs who understand open source and understand how to build
Speaker:and code and, and, and business owners who have real problems that if they
Speaker:could solve them, they, they could be billion dollar opportunities, but they
Speaker:just don't have the, the technical chops like that, that's getting smaller.
Speaker:I'm not saying tech is easy, but it's easier than it's ever been
Speaker:to the point where it's like, you know, I've been telling people
Speaker:stop writing nonfiction books.
Speaker:AI's gonna ruin that market.
Speaker:It's not gonna happen overnight.
Speaker:But like, why would you read a, a nonfiction book to get two nuggets
Speaker:maybe or five in a great one, and then 400 pages of fluff and stories
Speaker:that don't actually add value.
Speaker:And you could just ask the internet essentially, Hey,
Speaker:what, this is what I wanna know.
Speaker:Teach me how to do this.
Speaker:And you multiply that times, you know, thousands of hours of.
Speaker:Code it this way, use this tool.
Speaker:It didn't quite work.
Speaker:Okay, now let's learn why, and da, da, da and architecture and the like.
Speaker:You just learn.
Speaker:I've, I've shipped as you know, a relatively non-technical person.
Speaker:80,000 lines of production code, working a full platform full stack
Speaker:in, in less than six months by myself, mostly with, with just a few
Speaker:advisors and team members to help bad ideas around, but basically having.
Speaker:I'm doing it all myself, and I'm a lunatic.
Speaker:I am absolutely a psychopath.
Speaker:I do not recommend that I'm on the far end of the spectrum
Speaker:in a lot of different ways.
Speaker:Uh, but what that means is I can bring back what works and what doesn't
Speaker:to my lesser technically inclined people, or people that just don't
Speaker:have time to do that, even if they'd want to, um, and share like, okay.
Speaker:You know, I'll give you a real example.
Speaker:We have Dr. Anthony, uh, he is a dear friend.
Speaker:Long time.
Speaker:He's a client.
Speaker:He had this process that was taking him three to four hours to onboard, get
Speaker:blood work, get his, you know, results, and do labs and help the people and
Speaker:like really actually be there for them.
Speaker:And he was the only person who could do it in his whole organization.
Speaker:Then he enrolled 30 clients at one time.
Speaker:So you start doing the math, that's 120 hours of work.
Speaker:He was gonna have to just eat it, you know, and just do it.
Speaker:Um, but with ai, we broke it down into four steps.
Speaker:We designed the prompts in the system and then I actually coded him an app
Speaker:that essentially could get that result better than he could more consistently,
Speaker:uh, in about five or six minutes.
Speaker:And then he could just focus on the actual human part, which is
Speaker:like, Hey, here's all your reports.
Speaker:Everything that we do, I've double checked 'em.
Speaker:Now let's just go through them.
Speaker:Instead of me having to parse through every single stupid thing and 50 pages
Speaker:of blood results, it's crazy, right?
Speaker:And now any member of his team can prep that and send it to him
Speaker:yeah, man, that's incredible because like, so someone's probably listening
Speaker:right now, and I, I know I am.
Speaker:It is like 120 hours.
Speaker:You just condensed that by using
Speaker:Into less than an hour of prep.
Speaker:Yeah.
Speaker:Exactly.
Speaker:So, and anyone can do it
Speaker:Well, and it took me about three hours total from end to end to like extract
Speaker:all the knowledge, train the AI code, the thing, and now it's not gonna win
Speaker:any design awards, but it's a functional app that anybody in his team can use.
Speaker:And now that's IP that that can go along with that business
Speaker:couple things I wanted, uh, like double click on here is like, yeah.
Speaker:I think now we're in, in this world of just build it, like build it quickly.
Speaker:We all have the tools to, to do the thing.
Speaker:You know, you have, uh, I mean, we'll list out some of the tools, I guess, like
Speaker:what are the no code tools that you would.
Speaker:Typically
Speaker:I don't believe in no code.
Speaker:I don't think that's realistic.
Speaker:I think I believe in code translation.
Speaker:So this is what I believe in.
Speaker:You could take high, you could take high school Spanish for four years, go
Speaker:to Spain, not be able to order coffee, or you can go with a local guide.
Speaker:And day one you say, Hey, I want a coffee.
Speaker:They say, okay, great.
Speaker:Come to the cafe.
Speaker:Cafe cito, port Vo.
Speaker:You get a coffee.
Speaker:Mm-hmm.
Speaker:Cool.
Speaker:And now you're like, oh, that wasn't so hard.
Speaker:I could do that.
Speaker:Right?
Speaker:'cause you, you take the mystification, you take the mystification out of it,
Speaker:or I don't know what the right word is.
Speaker:You mystify the process.
Speaker:So with code or anything else, it's like you've been learning systems
Speaker:and how they work your whole life.
Speaker:Yeah.
Speaker:Everything that you do in your life right now is a system you had to learn from
Speaker:driving to going to the store, to paying your bills, to your mortgage, like all
Speaker:this crap that you kind of didn't know.
Speaker:And now, you know, and it's like once you know it, you kind of get it right and
Speaker:you understand what questions to ask and what's right and what's wrong and what,
Speaker:what makes sense and what what doesn't.
Speaker:And you just get better and better at like asking questions.
Speaker:And the more I do this, the more I see the whole world as a collection of systems
Speaker:that were designed to quote Steve Jobs by people who are no smarter than you.
Speaker:They just kind of defaults worked at the time and they haven't been redesigned
Speaker:in a while, and now you get to come and redesign them if you so choose,
Speaker:because there's, like I said, all the physical world is really made up of,
Speaker:you know, physical and digital worlds really made up of problems to solve
Speaker:Yep.
Speaker:and stuff that kind of works, but not a hundred percent and not
Speaker:as good as it possibly could be.
Speaker:Especially when you consider we have new tools.
Speaker:and and that's why you said like, we get to redefine this now and recreate
Speaker: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.
Speaker:And I'm not saying that hyperbolically, I, I truly believe there's a first
Speaker: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
Speaker:your thought pattern, because I feel
Speaker:economic, every economic system that's ever existed.
Speaker:'cause there's been a lot, we're currently in late stage capitalism, but there's
Speaker:been, you know, feudalism and mercantilism and some guy invented the stock market
Speaker:and some guy had the tulip bulb thing and like just, it was all systems that
Speaker:kind of, at the time made sense and no longer do, like we don't use feudalism
Speaker: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.
Speaker: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
Speaker:on economics, based on value, based on a means of exchange, based on what?
Speaker:Nepotism, whatever the F. Right?
Speaker:And, and now like for the first time in human history, we actually have AI and
Speaker: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.
Speaker:And the electric bills aren't crazy.
Speaker:Like most people can afford them.
Speaker:That's why most people have electricity and most countries, you know, I'm
Speaker:not saying everybody everywhere.
Speaker:I'm not saying that, but I'm saying that there is a world where we keep driving
Speaker:this down and it only gets faster.
Speaker:Mm-hmm.
Speaker:It's, deceptive to people because they think linearly and they think locally.
Speaker:They don't think globally and exponentially, and they don't
Speaker:think how fast it's actually accelerating, especially as AI comes
Speaker:online and becomes more capable and then robots right behind it.
Speaker:Oh, that's coming up like this coming
Speaker:Yeah.
Speaker:I think we're two years out before robots are everywhere, like humanoid
Speaker:robots that are really functional.
Speaker:And I was in San Francisco, uh, like I said, two weeks ago, three weeks ago, and
Speaker:I went to a lot of meetings just to kind of get a state of affairs on, on this.
Speaker:And I went to one where.
Speaker:I was in a room with a robot that could move so fast.
Speaker:It was this little dog robot that could move so fast I couldn't see it.
Speaker:Wow.
Speaker:Like it was, it was over there and it was over there and it was like,
Speaker:it was a little flit in my vision.
Speaker:Like if, if something flew past you and you just didn't quite recognize it, like
Speaker:I didn't have a mental model for that.
Speaker:And it moves like a dog, right?
Speaker:It moves its legs and goes like it is like, and it can do handstands and
Speaker:flips and all kinds of shit, and it's so fast you can't see the damn thing.
Speaker:And I'm like, that's scary as shit.
Speaker:I hope we, I really hope we use that for good because that changes the game.
Speaker:I mean, we're, we're creating trillion dollar aircraft carriers
Speaker:that won't be done for 10 years and already they're obsolete.
Speaker:Oh, absolutely.
Speaker:I'm
Speaker:10,000 drones could be pumped out.
Speaker:Any one of that, them could sink that thing.
Speaker:Yep.
Speaker:Well what's your take?
Speaker:Because yeah, that's why I asked about like the economics and it's funny,
Speaker:interesting you brought up robots.
Speaker:'cause yeah, my 6-year-old daughter saw some robots recently and talked,
Speaker:you know, and saw the humanoid stuff, what Elon was talking about,
Speaker:and she was like, that's scary.
Speaker:I'm like,
Speaker:It, can be.
Speaker:it
Speaker:can be.
Speaker:Yeah.
Speaker:And that's why I'm like, obviously as a
Speaker:that, that's kind of where I keep coming back to is like
Speaker:we have this inflection point.
Speaker:Correct.
Speaker:You can put your head on the sand, you could do the ostrich thing.
Speaker:You let other people decide based on their values, how this is gonna go.
Speaker: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
Speaker:chance that we could completely screw the world over and live in a terrible
Speaker:place or just end it and there's a, a very good chance, actually,
Speaker: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.
Speaker: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?
Speaker:You didn't get into business till like.
Speaker:Survive or just have another job that you gotta manage.
Speaker:It's like, no, you get got into business to thrive and
Speaker: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.
Speaker:Whereas if you train a human, good luck.
Speaker:Well, and then you're dealing with emotions.
Speaker:You're dealing with egos and all this other stuff in the middle
Speaker:that that muddy the waters,
Speaker:Yeah.
Speaker:Well I just, and I don't think, see it as replacing humans.
Speaker:I see it as augmenting humans.
Speaker:Let's give all the humans most of their time back and let them do more human
Speaker:things and focus on the next version.
Speaker:what's the shift?
Speaker:Because yeah, it's a mental shift that we get to make for ourselves as humans
Speaker:during this whole phase that most people have no clue it's even happening.
Speaker:So I think there needs to be an awareness happen.
Speaker:You know, hopefully this is part of it, but there's other podcasts
Speaker:and shows starting to do that.
Speaker: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?
Speaker:Yeah.
Speaker:What's that mental shift?
Speaker:It almost sounds like more creation and
Speaker:People think this is a topic and they think it's niche and therefore
Speaker: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.
Speaker:This is a super sonic tsunami that affects every industry, top to bottom.
Speaker:People say, oh, what industries you focus on.
Speaker:All of them.
Speaker:Mm-hmm.
Speaker:' cause I'm industries are kind of a. A kind of acute relic of a bygone era.
Speaker:It's like everything affects everything now and everything's being enabled by
Speaker:tech and tech's only getting faster.
Speaker:Yeah.
Speaker:And I'm talking to guys who install garage doors and work on elevator contracts,
Speaker:and I'm talking to high tech people and, and all these different people.
Speaker:They have the same problems.
Speaker:They all need an offer.
Speaker: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
Speaker:So they get to choose, right?
Speaker:Hey, am I gonna lead this shift or am I gonna follow it?
Speaker:And following it is, is a sure path to death.
Speaker:You don't have, you have about four years.
Speaker:2030 is the inflection point.
Speaker:If you don't have an AI slash robotics enabled company in four years, you're
Speaker:not gonna be in business anymore.
Speaker:Full stop.
Speaker:You're already here first.
Speaker:Sorry.
Speaker:So get on the train or don't,
Speaker:it's the thing, yeah.
Speaker:We have the choice to do this right now and yeah.
Speaker:I kinda wanna go back to like what you said, start building your own stuff and
Speaker:'cause so you do this with optimists and happy, you know, I'd love for you
Speaker:to break that down 'cause it's, and then also, but I also wanna walk people
Speaker:through, I guess the mental model of like how they start to do that.
Speaker:Like, kinda like the doctor that you're working with, a hundred, 120 hours was
Speaker:like looking, staring him in, in the face,
Speaker:And there's a thousand other doctors that have that same problem that,
Speaker:that just aren't my client yet.
Speaker:So I could give them that playbook.
Speaker:'cause we already did it for Dr. Anthony, why not for you?
Speaker:And you'll have a million questions as to why and how do
Speaker: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
Speaker:process, maybe for themselves or their
Speaker:So
Speaker:it's really four steps, and this is kind of going behind the curtain a
Speaker:little bit, just to give you a sense.
Speaker:But, uh, you know, I, I do this thing.
Speaker:So there's, there's this thing called in around called vibe coding, where people
Speaker:like, you know, go in a room and like put on some music and just like tell
Speaker:the AI to build stuff and you'll get kind of diminishing returns on that.
Speaker:I think after a while you need to get serious, but to build like a
Speaker:single function, one purpose app.
Speaker:That's, that's pretty fun and pretty cool, and I recommend you
Speaker:do it or just stick up a website.
Speaker:It won't be the best website, won't be the best app, but it's like
Speaker:something cool that you could do then.
Speaker:I was like hearing all this chatter about people who are like, I'm gonna
Speaker:vibe code a billion dollar business.
Speaker:I'm like, like, fuck, you are right.
Speaker:Excuse my language, but like, you know, the likelihood that some dude in his
Speaker:mom's basement with no distribution and no business sense is gonna go build the next
Speaker:billion dollar thing is just laughable.
Speaker:And even if it was true, it sounds lonely, boring, and shitty.
Speaker:I'm like, well, I kind of wanna do it with all my friends so we could all get fed
Speaker:better, faster and keep each other sharp.
Speaker:Iron sharpens iron's kind of the point of a mastermind.
Speaker:So I'm like, I'm gonna approach this from a new angle.
Speaker:I call it tribe coding
Speaker:Okay.
Speaker:I like,
Speaker:Trademark.
Speaker:Tribe coding, right?
Speaker:So, so now we're all building together, we're all learning from each other.
Speaker:What's the best ways to do it?
Speaker:We hit roadblocks.
Speaker:We help each other work through them.
Speaker:Like just recently, um, I was, uh, I was running the problem that
Speaker:my project was getting too big.
Speaker:hmm.
Speaker:For AI to keep it in context.
Speaker:And yeah, there's different AI at different size context windows, but
Speaker:not all of them are good at code.
Speaker:So like of the ones that I wanted to use, I could only really focus on like
Speaker:a narrow subset of a particular app.
Speaker:And then I had a breakthrough.
Speaker:I'll just share one.
Speaker:I've had many.
Speaker:But, um, I was able to design a system by which AI diagrams the system as is
Speaker:so that it could use less context to understand the different
Speaker:components of the system before it went in and, and made changes.
Speaker:So instead of having to start from scratch in every context window, which
Speaker:is still a problem of ai, you know, you got 200 tokens, 200,000 tokens, and
Speaker:you're done now in like 10,000 tokens.
Speaker:It can get up to speed and know where all the components live
Speaker:and not have to do any searches.
Speaker:It could just look at the diagram and at the end of it it can update
Speaker:that diagram if there's been changes.
Speaker:So, like that one little thing, I'll just share, uh, my screen real quick to
Speaker:give you a visual what that looks like.
Speaker:If there's people who wanna see it, uh, changed everything.
Speaker:It's, you know, you gotta look for these little.
Speaker:Bits that, that make everything different.
Speaker:And this is great for vibe coding, right?
Speaker:For
Speaker:any
Speaker:kind of coating.
Speaker:So like this is, hold on, let me share it right now.
Speaker:Uh, can you see this screen here?
Speaker:Yeah, it's
Speaker:So most people won't know what the hell all this means, but this is like
Speaker:a main function of my app that's like architecture and there's different phases
Speaker:and it goes through different files and it's just basically like a decision tree
Speaker:for the app to be able to be like, okay, here's what's what and where it all lives.
Speaker:And then AI doesn't have to go through each time and figure it out.
Speaker:And I can do that for main components.
Speaker:Um, ba basically it's just like a, it's an innovation.
Speaker:I'm working within the limits of a tool.
Speaker:Obviously this is not day one stuff like I've been at this for
Speaker:a while, but it's valuable for me.
Speaker:And then anybody else I work with.
Speaker:Because AI can't really read a mural board.
Speaker:It can't really read a whiteboard the way that I could.
Speaker:Like my handwriting's terrible.
Speaker:So like I just found a way for it to design its own map.
Speaker:That is also useful for me that now we're both on the same page and I can
Speaker:just go to the specific part of the app that I'm working on and I got a map
Speaker:and then we update the map over time.
Speaker:'cause the map is not the territory, but it's a hell of a lot better than, you
Speaker:know, if you have enough maps, you can approximate the territory, I guess is a
Speaker:Right.
Speaker:And, and, and if it's made in the way that the AI can read and, and of
Speaker:course that it's you, you definitely need to organize all this information.
Speaker:And my brain goes to like, what do you use to organize all of these
Speaker:different files to make sure that it's referencing that in the most updated form.
Speaker:right?
Speaker:'cause you're, you're gonna burn well and then it gets it wrong and it fixes
Speaker:a thing that's not actually the problem.
Speaker:Correct.
Speaker:And then you created another problem.
Speaker:'cause now you gotta ghost, you gotta chase down later.
Speaker:Because you don't know all the cascading effects, especially
Speaker:when you get to a complex app.
Speaker:Like if it's a single function app, fine, it either works or it doesn't.
Speaker:But when you get into a platform level, like it's, it can be a nightmare.
Speaker:So anyway, the, the reason I'm, I'm sharing that is it's a more
Speaker:complex example that people are gonna be like, holy crap.
Speaker:But I don't want you to get intimidated by that.
Speaker:The reality is I show people very basic tools that all of a sudden now they're
Speaker:putting up websites and apps in minutes.
Speaker:That they vibe coded themselves, tribe coded themselves, and then
Speaker:they can iterate, but it's a new paradigm that they didn't have before.
Speaker:The old paradigm is I gotta wait for somebody who has technical
Speaker:knowledge and expertise.
Speaker:I gotta find the right person who I can trust, who isn't gonna cost a
Speaker:fortune, who actually wants to work on my problem, and then finally,
Speaker:uh, manage that person to success.
Speaker:All of those things are break points that don't work.
Speaker:And I have countless stories of business owners trying to hire
Speaker:devs to build whatever, that it just never gets to fruition.
Speaker:Or they spend a ton of money and, and then it's a pain in the
Speaker:ass to maintain and more money.
Speaker:And it's like you would be shocked at how many people I've talked to that have spent
Speaker:half a million to a million dollars on an idea that's never seen the light of day.
Speaker:Man it
Speaker:It's like, why would you take a few hours and see what's possible by
Speaker:yourself before you go hire anybody?
Speaker:Because at the very least you build an MVP, you build a little prototype,
Speaker:and then you bring it to the devs and say, make this nice, make this pretty,
Speaker:make this scalable, make this whatever.
Speaker:But here it is.
Speaker:This is the way I want it.
Speaker:And see that's a beautiful, like what's accessible to everybody right now, and
Speaker:I feel like a, a big gap is this mental model of just start building stuff.
Speaker:Like you don't have to wait for anybody.
Speaker:Yeah, there's no
Speaker:literally just use your voice and start.
Speaker:and I'm here as a Sherpa to guide people 'cause I as, as unsexy as this is.
Speaker:Everybody wants to know the prompt that's gonna make 'em a million dollars.
Speaker:Like, we do that too.
Speaker:Fine.
Speaker:But you know, I think the, the fact that you can now build stuff in physical and
Speaker:digital space and automate stuff and physical and digital space changes the
Speaker:way that we're gonna approach business.
Speaker:It's not gonna be who can.
Speaker:Grind through and hustle harder.
Speaker:And you know, there's just, that doesn't scale.
Speaker:It's gonna be, or higher than most.
Speaker:It's gonna be who can design a system that scales and then get AI to run the system.
Speaker:So you have to find what AI can do and what it can't.
Speaker:Yeah.
Speaker:You have to figure out the right tools in the right order, in the right sequence.
Speaker:And yeah, it's a little bit more work upfront, but you've already got a bunch
Speaker:of processes in your business that already work or you wouldn't be in business.
Speaker:Now it's taking those and updating them for 2025 with the new tools.
Speaker:back to you, you were saying there's four steps where, um, you know,
Speaker:it was kind of peeling it back.
Speaker:I don't know if you went through this four.
Speaker:I don't, I don't know if I caught 'em all, but, um, kind of like if you have.
Speaker:A process in mind.
Speaker:Something that's just bogging you down.
Speaker:Totally.
Speaker:So plan, prompt, produce, polish.
Speaker:Ooh.
Speaker:Okay.
Speaker:Four piece.
Speaker:So the planning is like, you know, whiteboarding, you choose your tech stack.
Speaker:I help people guide through this.
Speaker:It's basically just like, here's our best hypothesis about how this could work.
Speaker:Cool.
Speaker:And it's taking your actual SOP and it's, it's, it's mapping it to, what's
Speaker:the new way it's gonna look then?
Speaker:Okay, you're the expert, so you're gonna need to build the prompts.
Speaker:But it's pretty easy 'cause AI can prompt itself.
Speaker:So really it's a function of like, what are the inputs, what are the outputs?
Speaker:How many examples do we have?
Speaker:Let's say we have five.
Speaker:I think five is a good number.
Speaker:So I know what the input looks like and I know what the output looks
Speaker:like of the system we're designing.
Speaker:And then I can give that to AI and say, here's five examples
Speaker:of, of before and after.
Speaker:Go make prompts as many as possible or as few as possible that, that
Speaker:allow us to transform A into B. And it goes off and does that.
Speaker:And then you go and play with those prompts manually
Speaker:and you say, okay, got it.
Speaker:Or it didn't until you're really happy with the output.
Speaker:That's what Dr. Anthony did.
Speaker:He took it for a couple weeks.
Speaker:He, he did it manually a bunch of times.
Speaker:He's like, okay, this is bulletproof.
Speaker:This works, these prompts.
Speaker:Not this.
Speaker:Not too many, not too few, right?
Speaker:Because the more you give AI to do in one shot, the worse it does.
Speaker:You have to break it into a number of chunks that it can do very reliably.
Speaker:Consistently.
Speaker:That one feeds into the next.
Speaker:Into the next,
Speaker:And hints that map, right?
Speaker:Like so you have, yeah.
Speaker:Okay.
Speaker:So it's like every single one of those, and that was more
Speaker:of a code specific example.
Speaker:This is more of like a, we're still working with Claude,
Speaker:we're still working with GPT.
Speaker:This is all stuff that you're probably familiar with already.
Speaker:Then we're gonna produce code, which actually runs that process.
Speaker:So we're basically taking the training wheels off, we're getting
Speaker:past the prompts, and we're saying, okay, now let's build that into a
Speaker:process where it can't mess it up,
Speaker:Hmm.
Speaker:Mm-hmm.
Speaker:a prompt is probabilistic and code is deterministic.
Speaker:Although you can have probabilistic elements, a prompt allows you to have
Speaker:flexibility within the model and have intelligence pick the best thing, but it,
Speaker:it can produce hallucinations and errors.
Speaker:It can just decide not to do it.
Speaker:And that can be a problem depending on what you're doing, but code, like
Speaker:if I just give it A-J-S-O-N script for example, you have to execute it this way.
Speaker:so that, that's the produce phase is like we're gonna actually turn that
Speaker:transformational process that we just outlined, that we know works that AI can
Speaker:do into code, that it can't mess it up.
Speaker:Mm.
Speaker:That could be a mix of code and prompts, and there's other ways to do
Speaker:that, but then we're gonna polish it.
Speaker:So like, okay, we've built the plan based on whatever was working already.
Speaker:We've prompted it, we've produced it, and then we polish it based basically saying,
Speaker:Hey, I want to have enough edge cases, thought through and figured out where.
Speaker:You know, this is a working thing that'll get us 95% of the way there.
Speaker:And we then we have a human in the loop just to make sure we have high quality.
Speaker:But you basically took a multi-hour process and turned
Speaker:it into a multi minute process.
Speaker:You took something that one person on your team can do and
Speaker:made it so anybody could do it.
Speaker:And then you've, you've created a way for it to be, um, consistent and
Speaker:scalable across your organization.
Speaker:And then as you get more of these processes built into little apps, if you
Speaker:will, then you can roll all that into one platform and that's your whole business.
Speaker:I got you.
Speaker:Cool.
Speaker:So that would be like the fifth p if I was to just kind of extrapolate, like
Speaker:you polish it now, you can platformat size it, so you take all of these and
Speaker:you start to put 'em into platforms.
Speaker:That's essentially what I did with Optimus.
Speaker:I built 30 different workflows and systems and tools, one of which, uh,
Speaker:added an additional 10 or 20 KA week to a business that I worked with.
Speaker:Yeah.
Speaker:In brand new revenue that just was slipping through the cracks
Speaker:in about two hours work, right?
Speaker:So these, these can make a massive difference, especially when you get
Speaker:really good and you know what to look for.
Speaker:You know, I've taken stuff like that.
Speaker:So like the massive amount of money made, the massive amount of time saved.
Speaker:And then this multiplies.
Speaker:'cause now you're, you're getting more money and time.
Speaker:You have more time to, to focus on what else could I do?
Speaker:And you get excited and enlivened by this possibility and you're like, oh crap.
Speaker:You know?
Speaker:And it doesn't have to happen zero to one.
Speaker:It can happen 40% better, 50% better.
Speaker:Like it's all time and money that you're getting back or making more of.
Speaker:That's
Speaker:That's right, and, and I'm, I'm assuming there's this iterative
Speaker:process based on feedback and all the new ideas that pop up.
Speaker:You're like, well, shit,
Speaker:But everybody's still in the old model of, okay, I gotta go hire X, Y, and Z, or let
Speaker:me get this agency, or let me whatever.
Speaker:It's like, no, start with the process.
Speaker:That works.
Speaker:That's the hardest part.
Speaker:Find a process that works.
Speaker:Find something that if you did it a hundred times, it would
Speaker:have enough of a success rate.
Speaker:And create enough of a profit or enough of a impact to, to wanna do that and then,
Speaker:you know, get past the idea of, oh, I have to do that, or Pearson has to do that.
Speaker:That's not the point.
Speaker:You need to find something that works first.
Speaker:That's
Speaker:the hardest thing you're gonna do.
Speaker:That's 80% of the work.
Speaker:If it works, it can work at scale.
Speaker:'cause even if you have a 50% success rate, but you can do it 250,000 times,
Speaker:well it's gonna work 125,000 times.
Speaker:So you gotta get outta your head of like, oh, this isn't perfect.
Speaker:Like, good enough is good enough.
Speaker:Then we can work on scaling it and getting it better.
Speaker:The better you can get it beforehand, great.
Speaker:But like I don't wanna slow anybody down because the reality is even if
Speaker:you took a kind of piss poor process and just made it better by automating
Speaker:it and leveraging it, it would be ultimately you'd get more out of it.
Speaker:More consistent.
Speaker:Yeah.
Speaker:More things show up and, uh, having human in the loop, uh,
Speaker:you know, talk about that.
Speaker:Like are your thoughts on that because that's, especially in these
Speaker:early processes, a human somehow still have an oversight over this,
Speaker:or at least during parts of it.
Speaker:If you think about it like a diagram, it would be input output.
Speaker:So one side, then the other side in between is the transformation.
Speaker:That's like the app or the, the code or the prompts or whatever it is that
Speaker:we use to, to get from A to B. And then the, the thing that draws from,
Speaker:um, output back to input is feedback.
Speaker:And the human is the feedback
Speaker:Got it.
Speaker:the human is saying, yeah, this is like we're batting 30% or we're
Speaker:batting 70%, or we're bat 95%.
Speaker:Like how do we improve that?
Speaker:Mm-hmm.
Speaker:' cause every time you get feedback, it gives you new information to feed into
Speaker:the system or, or tweak the prompt or tweak the code to make it better.
Speaker:So you're just running this feedback loop until it's like acceptably
Speaker:high where you're like, okay, we can move on to something else.
Speaker:Like we're getting diminishing returns
Speaker:on
Speaker:whatever the process is.
Speaker:So that's where the humans come in, is they, they just make the system better.
Speaker:So, like, there's an old joke.
Speaker:The factory of the future will have two employees, a man and a dog.
Speaker:And the man's job is to feed the dog.
Speaker:And the dog's job is to make sure the man doesn't touch the machine.
Speaker:But that's eventually where you get through.
Speaker:It's like, okay, this is just all running and it all works.
Speaker:And that was kind of the idea for optimists is like, we
Speaker:built 30 different things.
Speaker:They all kind of do different things in businesses.
Speaker:Let's start wrapping them together into a platform that allows you to
Speaker:connect your entire stack of apps.
Speaker:So we're not asking you to switch software, we're not
Speaker:asking you to buy new software.
Speaker:Take what you already know and love anything with an API.
Speaker:We plug it into Optimus.
Speaker:Then you talk to it like an employee and you can create complex
Speaker:workflows and automations without ever touching a line of code.
Speaker:So basically, yeah, you could speak through whatever the
Speaker:hell this process is, right?
Speaker:Like it's essentially what we're talking about here.
Speaker:We're talking about the manual way, but you've already built Optimus.
Speaker:This is, I've seen some of what you, you know, you've showed me some of this stuff,
Speaker:and it's fricking mind blowing because.
Speaker:It sounds like you've identified what the 30 main processes or things that
Speaker:most small business owners would need to know or have, and you could just
Speaker:speak with it and then hook in all these integrations without having
Speaker:to get what innate in savvy and, uh,
Speaker:No.
Speaker:Yeah, it, it alleviates a need for N eight N Zeer, make any of that crap.
Speaker:And, and not that, that's crap.
Speaker:It's a great platform.
Speaker:I'm just saying like, this is a new paradigm.
Speaker:You don't need that anymore.
Speaker:The, the, the idea is less menus, less things to log into,
Speaker:less things to think about.
Speaker:It's like one window through which you can run your business.
Speaker:You hook it up once and now it's talking to everything and
Speaker:it will only get more useful.
Speaker:And what's crazy is like, I don't know anybody else who could do this,
Speaker:who has like the small business.
Speaker:Environment, understanding the actual technical chops and like the
Speaker:vision and taste and experience and wisdom to like no, do less, right?
Speaker:Just make it cleaner.
Speaker:Make it simpler.
Speaker:Like at the end of the day, we're gonna have like one main menu and
Speaker:a couple of things like affiliate, ROI, you know, and, and automation.
Speaker:And that's it.
Speaker:Like, it's gonna be a really simple app, but massively powerful.
Speaker:It's gonna be like unsuspectingly powerful.
Speaker:And we're about three to four weeks out from beta launch.
Speaker:that's what I wanted to ask about.
Speaker:Yeah.
Speaker:It's like, okay, so what's the timeline?
Speaker:How's that look like for
Speaker:So right now, currently all of what I just described is, is in the app.
Speaker:I have some other features I'll probably keep in my back pocket that I wanna slow
Speaker:roll and just make sure they really work.
Speaker:Um, but yeah, we'll we already have it in Alpha on 45 of our client's machines.
Speaker:Uh, they're getting crazy results with it and super happy with it.
Speaker:And then we have, um, you know, 'cause I use the Mastermind as the way to
Speaker:fund this and fund the development.
Speaker:So I haven't taken any outside capital yet.
Speaker:I'm open to that, but it has to be the right fit.
Speaker:Um, and that's another problem is like VCs don't get it.
Speaker:They're thinking, is this a hundred million person consumer app or is this
Speaker:a hundred million dollar enterprise app?
Speaker:And they don't really
Speaker:care if it's in between.
Speaker:big boys.
Speaker:Yeah.
Speaker:this is an a real opportunity for somebody who really gets the pain of like two
Speaker:to 10 employees and you know, maybe up to 15, like that's hard to get past.
Speaker:And if you get past it, you're not thinking about software anymore.
Speaker:'cause you've already hired people that deal with that crap for you.
Speaker:That's true.
Speaker:Well, this is what's so cool is like you said, it funds with the Mastermind.
Speaker:So I wanted to definitely highlight, uh, your Optimist Mastermind because, uh.
Speaker:I think I'll be, well by the time this goes live we will have already
Speaker:done some, some, uh, you know, I've gone out to Phoenix and hung out
Speaker:with you and the, and the whole crew.
Speaker:But describe what you're doing there, because you've been a part of basically
Speaker:every mastermind that I know and way more, and, you know, there's a unique
Speaker:thing that, that you bring together that's probably not, it isn't normal.
Speaker:It seems like you're, you're doing a transformation in the moment
Speaker:with people, but also doing big good stuff for the world, you know?
Speaker:And these are the leaders that I described earlier.
Speaker:It's like, I don't want to just, you know, react to AI or hope it doesn't affect me.
Speaker:I'm like, I'm leading this.
Speaker:I realize it's, it's me.
Speaker:If it's, if it is to be, it's going to be me.
Speaker:So we have 32 businesses represented, uh, about 250 million in revenue combined.
Speaker:Um, these are typically business owners that have been in the
Speaker:game for five plus years.
Speaker:Some of them 25 plus years.
Speaker:Like they're just all over the map.
Speaker:Um, we have young folks, we have older folks.
Speaker:I, my, my oldest client's 72 and he's still crushing it.
Speaker:Um, yeah, my youngest people are like in their late twenties, right?
Speaker:So it's kind of a, it's a mix.
Speaker:Uh, but the goal that we all have is like, we wanna lead this, not follow it.
Speaker:We want to own our time, own our future, own our freedom, and realize
Speaker:like this is the first time in history.
Speaker:We could go from a very small.
Speaker:Portion of your tam to a very large portion of your TAM in almost no time.
Speaker:Geez.
Speaker:Right.
Speaker:And, and really your only bottleneck is gonna end up being
Speaker:distribution relationships.
Speaker:So we're all gonna keep each other accountable to like get our tech outta
Speaker:the way so we can focus on scale.
Speaker:And, and it's beautiful because like distribution's, the issue, well, that's
Speaker:kind of the power of masterminds, right?
Speaker:So you're getting people together, networking, viewing the human thing,
Speaker:You got a guy who's got 17 million emails sitting next to you in the
Speaker:Mastermind, that's a legit person.
Speaker:Like, you know, what can't you do with that?
Speaker:It's tribe coding, tribe building, it's all that stuff at the tribe.
Speaker:And it, it's fun.
Speaker:It's like, it's it people, it's so hard to get them to be like, okay, I'll do it.
Speaker:And it's like, it just feels harder than it is.
Speaker:And then they start doing it.
Speaker:They're like, oh, that wasn't so hard.
Speaker:I'll literally be talking to people and doing trainings and
Speaker:coding apps in the background.
Speaker:Yeah, I believe it.
Speaker:You know, it's like I've gotten so good at this stuff.
Speaker:Like I got two windows open all the time.
Speaker:Coding something, messing with something, researching something.
Speaker:And, and reality is like, I measure twi, you know that old
Speaker:saying, measure twice, cut once.
Speaker:It's really like I measure four or five times and then I cut once.
Speaker:Like, I'm so sure about the changes I wanna make before I make them because of
Speaker:that cascading effect I told you about.
Speaker:And by the time I actually make it, it's like, it so like it, it just
Speaker:requires a different level of thinking.
Speaker:But once you start thinking that way, it's like anything becomes possible.
Speaker:That's what really I teach is the frameworks and thinking style around that
Speaker:of like, okay, where's the puck going?
Speaker:How can we skate there and how can we support each other in getting there?
Speaker:And you know, us humans, we're always so, you know, stubborn
Speaker:with the old way of doing things.
Speaker:So as long as we can break outta that old minta model, that's my big takeaway
Speaker:I tell everybody, listen, if you're capturing 1% of your
Speaker:tam, I'll shut the fuck up.
Speaker:If you got a billion dollar, I'll shut up.
Speaker:Right.
Speaker:And if you're not, well, maybe you should come talk to us
Speaker:'cause we're on our way, man.
Speaker:And this is like such a, it's such a perfect time for people
Speaker:to jump in on this mindset.
Speaker:Go over there, go, um, I'll just shout it out, build with optimist.com so you
Speaker:can see everything that Brad's doing with the group and probably with Optimist
Speaker:as well, once that goes, um, public.
Speaker:But it is crazy.
Speaker:Um, I, I guess to kind of wrap it up here, Brett, well, is there anything else you'd
Speaker:wanna shout out or ways that they can
Speaker:Yeah.
Speaker:I wanna shout out to all the, the dreamers and the crazy people out there
Speaker:that like got into business in the first place and, and maybe have been doing
Speaker:it 5, 10, 15, 20 years, whatever it is.
Speaker:I've been in business over 20 years myself.
Speaker:Like it's the hardest and most rewarding thing I've ever done.
Speaker:It's the most spiritually, uh, enlivening and growth oriented thing I've ever done.
Speaker:The sense of contribution you get is insane.
Speaker:Like, just remind yourself why you got into this.
Speaker:This is the, the first time in human history that we're aware of.
Speaker:That all of the problems that you set out to solve are actually
Speaker:solvable, but it's not gonna be with more people and more headcount and
Speaker:more burnout and more late nights.
Speaker:It's just not you gotta, you gotta up your game and start
Speaker:thinking in scalable systems.
Speaker:And that's literally the only difference between you and
Speaker:these Silicon Valley companies.
Speaker:They're just thinking big.
Speaker:That's it.
Speaker:that's Tim Ferris has said this many, many times before, and I
Speaker:might not say it perfectly, but it's like the, the reframe is what would
Speaker:this look like if it were easy?
Speaker:And not feel like it has to be a fricking grind to do all this shit.
Speaker:'cause it doesn't
Speaker:Well, and the first thing people, when I show them these kind of results,
Speaker:they're like, well, then what do I do?
Speaker:Like I don't, you work on something else.
Speaker:I don't know.
Speaker:Like you
Speaker:don't have to
Speaker:stop working.
Speaker:I work more than ever, but I'm building different things, you know?
Speaker:I'm excited about what I'm building.
Speaker:And you're having fun.
Speaker:I think that's a
Speaker:big takeaway is like.
Speaker:If you, yeah, once, and I urge everyone, it's like, if you haven't made a
Speaker:graphic with ai, go to Nana Banana.
Speaker:Like go to Gemini, go, go test some shit out.
Speaker:You know, if you haven't coated something, whatever.
Speaker:There's all these D. Just start getting some practice, some hands-on experience.
Speaker:Do it yourself.
Speaker:Don't touch, talk about it or delegate it.
Speaker:Actually do it because then your brain starts to do this
Speaker:whole rewire game, you know, and
Speaker:Yeah.
Speaker:Well, and I, I think, uh, Debs have had kind of the run of
Speaker:the world for a long time.
Speaker:'cause.
Speaker:It's so mis, they're almost like wizards.
Speaker:Like nobody understands how magic works, but code is not magic.
Speaker:It's just, it's just characters on a screen.
Speaker:And when you start learning what they do, and you don't even have to know
Speaker:what every single stupid thing does.
Speaker:When you start understanding how to think as a machine thinks you can build, as a
Speaker:machine builds and design things, like literally anything becomes possible.
Speaker:It's just can we figure it out or not?
Speaker:It's so damn cool.
Speaker:What, uh, I know you've already talked about a lot of exciting things, but I like
Speaker:to ask this at the end, but it's like, what's one thing that's just lightened
Speaker:you up for this, this year to come?
Speaker:Starting it out fresh right now?
Speaker:Yeah, I mean, I'm, I'm getting into the platform game.
Speaker:You know, I think all the most successful companies in the world
Speaker:are a platform of some sort.
Speaker:Um, so that puts me in a possibility of creating that next platform
Speaker:that changes the world and empowers SMBs to, to, to compete with the
Speaker:biggest companies in the world.
Speaker:Solid.
Speaker:' cause you take that speed and, and creativity advantage and you multiply
Speaker:at times millions and all of a sudden, like enterprises can't keep up with you.
Speaker:Mm-hmm.
Speaker:'cause they're too slow by, by their nature.
Speaker:It's like the difference between a DAO and an enterprise.
Speaker:You know, it's like that, that whole
Speaker:right.
Speaker:Well, you're, and it's literally changing lives, like people who will
Speaker:feel it, you know, the entrepreneurs in both time, wealth creation,
Speaker:their teams and families all beyond.
Speaker:So
Speaker:is the window and there's, there's gonna be a mess.
Speaker:Messy middle.
Speaker:So you better lead it 'cause
Speaker:Yeah.
Speaker:Well, I'm rooting for you brother.
Speaker:So thank you very much.
Speaker:And, uh, we'll do it again soon.
Speaker:Looking forward to Phoenix.
Speaker:But
Speaker:sir.
Speaker:the past.
Speaker:Thank you everybody.