Aman Khan: recommendation

Transcript context

…That's such an important point, that even if you can build a product that is fully automated, you may not want to. And that Betty Crocker example is really interesting, it reminds me of Blue Apron and all these food making. I have a friend who told me that he cooks, he's cooking a lot these days and just finding all this time to cook, and then turns out he's using Blue Apron. It feels to you like you're cooking and you can tell people, hey, I'm cooking a lot, but it's not quite the same. Yeah. But actually if you don't mind, I could probe on that. That's a really interesting point with Blue Apron, because if you look at that product, what's the problem that they're trying to solve? Are they trying to get people to be fed or eat food? I don't think so actually. I think if you're really trying to solve that particular problem, you'd probably build something closer to like DoorDash, which is just you press a button and food shows up. And Blue Apron on the other hand, is trying to get people to feel like they're getting closer to cooking or feeling closer to the experience of making something. And I think that's sort of what really amazing AI products do as well. They're making your experience or the product, AI makes your product easier to use and it brings the barrier to creation down. And I think that's really what it's good at, not necessarily just trying to automate the problem away. Such an important point. Again, coming back to your main point here is just focus on the problem you're solving and AI could help you solve it, may not. Okay, we went on a tangent from advice you were sharing on what separates typical AI PMs from top 5% PMs, and what else you got? What you got on that list?…

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