Evidence receipt / belief
Published · transcript-backedAishwarya Naresh Reganti: belief
11 Jan 2026 Lenny's Podcast Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google, and Amazon
“I'm not saying they're not important, but I think just this, I'm going to keep jumping across tools and going to pick up and learn if new tool is overrated.”
Source trail
Everything needed to verify it.
- Speaker
- Aishwarya Naresh Reganti
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 11 Jan 2026
- Publisher
- Lenny's Podcast
Transcript context
…Overrated. Okay, go for it. We won't let you get canceled. Just kidding. I think evals are misunderstood. They are important, folks. I'm not saying they're not important, but I think just this, I'm going to keep jumping across tools and going to pick up and learn if new tool is overrated. I still am old school and feel like you would really need to be obsessed with the business problem you're trying to solve. AI is only a tool. I try to think of it that way. Of course, you need to be learning about the latest and greatest, but don't be so obsessed with just building so quickly. Building is really cheap today. Design is more expensive, really thinking about your product, what you're going to build. Is it going to really solve a pain point? Is what is way more valuable today? And it will only become more true in the near future. So really obsessing about your problem and design is underrated and just rote building is overrated, I guess. Awesome. Okay. Similar sort of question. From a product point of view, what do you think the next year of AI is going to look like? Give us a vision of where you think things are going to go by, say by the end of 2026.…
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