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Lenny Rachitsky: belief

25 Sept 2025 Lenny's Podcast Why AI evals are the hottest new skill for product builders | Hamel Husain & Shreya Shankar (creators of the #1 eval course)

“A question I didn't ask, but this is I think something people are thinking about.”

— Lenny Rachitsky

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Everything needed to verify it.

Speaker
Lenny Rachitsky
Attribution
Verified speaker
Claim type
belief
Recorded
25 Sept 2025
Publisher
Lenny's Podcast

Transcript context

…Absolutely. If any, we teach our students, "Hey, when you're doing these evals, if you see something that's wrong, just go fix it." The whole point is not to have evals, a beautiful eval suite, where you can point at it, edit it and say, Oh, look at my evals." No, just fix your application, make it better. If it's obvious, do it. Totally agree with you. Amazing. A question I didn't ask, but this is I think something people are thinking about. How long do you spend on this? How long does it usually take to do? The first time I can answer for myself for applications that I work with. Usually, I'll spend three to four days really working with whoever to do initial rounds of error analysis. A lot of labeling, feel like we're in a good place to create the spreadsheet that Hamel had and everyone's on-board and convinced, and even a few LLM judge evaluators. But this is one-time cost. Once I figured out how to integrate that in unit tests, or I have a script that automatically runs it on samples and I'll create a Cron Job to just do this every week. I would say it's like, I don't know, I find myself probably spending more time looking at data because I'm just data hungry like that. I'm so curious. I'm like, I've gained so much from this process and it's put me above and beyond in any of my collaborations with folks, so I want to keep doing it, but I don't have to. I would say maybe 30 minutes a week after that.…

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