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Brandon Doyle

Aug 19, 2026

JackHOST
25:34
So I think you're, you're asking the right question.
25:36
And, and I, I don't think I'm being biased here and, and everyone has their own strengths and all that kind of stuff.
25:41
But when I hear you guys talk or, or Cody or like the Connors from Hexclad and Ridge and stuff, or the guys on the operators podcast, um, Like, all of those people I just named are just super, super smart.
25:58
Like, I feel like I could safely say all of them are geniuses, okay? That's one statement.
26:05
Next statement.
26:06
Usually, when we go outside of econ, to work with clients.
26:11
I am not faced with that level of intelligence, not in a bad way, but like, and I'm not trying to, you know, diss other industries.

5 MINS LATER

RishabhHOST
31:27
I mean, I do think that,
13:00
And with the way batteries work and how they degrade over time, uh, you'll be able to use it a lot longer.
13:05
So something to think about there.
13:07
But our yard, uh...
13:10
You know, I'm in Minnesota, so I've got clay, and then we have a wetland behind us.
13:15
We have, uh, longer grass, uh, so we do, do require the high-cut versions of these mowers.
13:21
And so some people might notice there's different ones, and it's not always intuitive which to get.

18 MINS LATER

31:15
[laughs]
KeithHOST
76:58
I just wanna give everyone-
76:58
Yeah, so it was my first, uh, powerlifting meet ever.
77:01
So it was kinda good, uh, just kinda, it, it, everybody told me like the whole weekend, they were like, "You're gonna be so spoiled, like if you go to a powerlifting meet that's not the Lift Harder Live Easy classic." Like, and it's true, I think, just because everyone was super helpful.
77:15
Like, in the warmup room even, it just kinda worked out where I was like, "All right, all the te- tall people are going to this rack." You know what I mean? Like, and we just, I don't know, it just flowed really well, and everybody was ready to give up advice and tips.
77:28
And, um, you know, if, if it was my turn up, you know, they'd yell at me to go.
77:33
Um, and then poor Jess Sesny, I think I missed every single time telling her what my next attempt was.

24 MINS LATER

102:07
[laughs]
102:07
Oh.
0:49
So tell us what your, what your thinking was when you started this experiment.
0:54
Yeah, so I started like six months ago or, or maybe a little less, uh, using the different AI models to manage my money.
1:02
Um, you know, everybody started talking about how smart Claude was and obviously ChatGPT and all the others.
1:08
So I figured, okay, well, let me just see how smart they actually are.
1:12
So I decided to give five different models, uh, $1,000 of real money, and which I know is not nothing, uh, but I wanted it to be s- basically enough to where...
1:23
I didn't wanna do it like 50 bucks 'cause then I was thinking, oh, maybe I would just neglect it or whatever.

26 MINS LATER

27:16
Yeah.
27:16
Um, and then on the, on the positive, on the, when things are going upside, I think for sure that they've just done a good job at, like, showing me, "Okay, this is my thesis on why I think you should, you know, buy this," in the Grok or Perplexity, whatever portfolio, and this is the return we're targeting in this timeframe.
9:09
[laughs]
9:09
Yeah.
9:10
So, uh, so it's like, so he's like, "Well, what should I do?" And I'm like, "Well, I've been telling you forever, like, you should do your own thing.
9:17
Like, you can, there are different ways to make money." So I showed him, like, 10 episodes of yours.
9:22
Um, we just listened to them actually while driving home from Vegas, just 10 in a row.
9:28
Um, and I was like, "How about this?" And he already had listened to you before, at least some episodes.
9:34
So I'm like, "Let's just listen to Chris, and you just pick, like, tell me an idea that stands out to you." So anyway, we listened to a bunch of episodes, and then, um, somebody said something about selling, selling stuff, and, and then it kind of centered around, okay, what could we sell, and what do we have room for, and, you know, what could he do? Like, he can't, like, sell vacuums.

28 MINS LATER

37:52
Mm-hmm.
1:58
Yeah.
1:58
Okay.
1:59
So for those of you who don't know OpenClang, OpenClang is basically like an AI assistant that can do pretty much anything for you if you set it up right, and it can use any AI model that you connect it to.
2:11
So it could use Claude or Chat or Gemini or Grok, but also, like, DeepSeek and, and, uh, Qwen and Kimi and, and other ones from China.
2:20
So it can use anything, and you can also, like, give it access to a credit card or, or whatever and let it spend money to then do other things for you to integrate with whatever, to accomplish whatever task you'd need it to do.
2:33
And so anyway, I like to push the limits with mine that I have that my company, David AI, set me up with because, I don't know, OpenClang's amazing and it can do so much stuff, so.
3:09
Me too.
3:09
Um, [laughs] so the- I don't- I couldn't think of a name, so I just named him Zach Morris.
3:49
What made you trust us? What made you invest into us? What made you put your name in the line for
3:58
us? Yeah, and that is a great question because so part of this history, too, we should know relationships.
4:04
It's not going to be easy.
4:05
I mean, first meeting someone who takes a chance on you or whatever.
4:09
Yeah.
4:11
Dr. Rab's site, we went back and forth probably four times with the project team.
4:17
They told me no every single time.

11 MINS LATER

15:37
um and really just having that ongoing dialect you know that ongoing checking in um it's just plain old-fashioned handshakes and uh you know communication so it's it's critical but it's also a good opportunity for us to develop those stronger deeper bonds throughout the organizations as a whole as this time goes on and we have more opportunity to meet more people

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