The framework for building AI startups from a product design genius
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What haven't we covered that we should? Pricing, monetization, how you make money. Yeah. It's important. Oh, yeah. The first thing I'll say is that one of my favorite lines about this is, I think it's originally a Walt Disney quote, which is, we don't make movies to make money, we make money to make more movies. And Facebook co-opted this, and it's in the little red book, you know, which is, we don't make services to make money, we make money to make better services. And I really believe that the most successful companies in the world have that view. I think that you can build an incredibly successful company that makes you millions of dollars that does not have that view. You know, that's kind of like the more mercenary approach, but you kind of need to decide who you are before you start with your pricing strategy.
So today we have a very special guest. I would say on my Mount Rushmore of product people, I think I only have two people that come to mind. One is Scott Belsky, who I've had on the pod before, chief product officer of Adobe. He advised my last company. Super, super smart guy. And the other, way less known in the internet world, but people who know know, Mike Udak. I appreciate you coming on here and lending your brain to get people to think bigger about startup ideas and spaces that you're interested in.
Thanks, dude.
That's really kind of you to say. It's true. One part of the show I'm trying to do is people who might not have as much internet fame, bring them and give them the platform. Dude, you're a smart guy. Thank you. What's on your mind today?
Oh my God, so many things. You asked me to come up with startup ideas. What are the most annoying things that you've had to do in the last week that have taken you a bunch of time that you feel like an AI could do by just throwing some compute at it? Do you have a list? Do you know what they are?
Um, I can probably, I can probably figure that out.
Like, can you find like, cause I mean, I can tell you off the top of my head, right? Like I would pay an AI agent to book me a flight. Right. I'd pay an AI agent to book me a hotel. I'd pay an AI agent to book me a restaurant or find me a restaurant. And I'd probably spend a lot of money on all three of those things. Yeah. And I think that those are all things that they could be really tremendously good at.
So it's funny you bring this up. So I was writing this down for myself. Maybe I'll post this on my newsletter. But I was thinking about, okay, what's a framework for thinking about creating AI agents from a product perspective? So here's what I wrote down. A single clear action, instant feedback, Bounded decisions and zero friction. So I wrote down smart agents that can actually think, that can understand what you mean, learn from mistakes, explain decisions, handle new situations. So then I wrote down, by the way, I wasn't planning on sharing this, so these are just some rough notes. So I was like, okay, how do you build a smart agent that is going to be valuable? Start with one action that matters, add LLM understanding,
build tight feedback loops, learn from every interaction and expand slowly. What do you think about that?
I think that's exactly right. And I like, I think about, okay, so these are all things that I've had to do in the last week. Right. I've also had to deal with scheduling, which is really annoying. And I was really struck. I had a really amazing, like personalized AI, like LLM experience recently where I used, I was trying to find this investor I was talking to who's Japanese. I remember that when I spoke with him, he was in California. And he's on the board of some Japanese financial conglomerate, but I couldn't think of the name. And so it's going to be a nightmare to find in Superhuman. But I realized that there was Ask AI. And I just said all of that. And it came up with the wrong answer the first time. And I said, no, no, no.
The guy I'm talking about has a Japanese name. And it came up with the right answer the second time. And it was the first time that I've had like a really personalized, like, I'm just talking out loud, trying to, like, find recall moment where, like, an AI actually really solved that problem for me.
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