Evidence receipt / evaluation
Published · transcript-backedKiriti Badam: evaluation
11 Jan 2026 Lenny's Podcast Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google, and Amazon
“Successful companies right now building in any new area, they are going through the pain of learning this, implementing this and understanding what works and what doesn't work.”
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Everything needed to verify it.
- Speaker
- Kiriti Badam
- Attribution
- Verified speaker
- Claim type
- evaluation
- Recorded
- 11 Jan 2026
- Publisher
- Lenny's Podcast
Transcript context
…What do you think the next year of AI is going to look like? Persistence is extremely valuable. Successful companies right now building in any new area, they are going through the pain of learning this, implementing this and understanding what works and what doesn't work. Pain is the new moat. Today, my guests are Aishwarya Reganti and Kiriti Badam. Kiriti works on Kodex at OpenAI and has spent the last decade building AI and ML infrastructure at Google and at Kumo. Ash was an early AI researcher at Alexa and Microsoft and has published over 35 research papers. Together, they've led and supported over 50 AI product deployments across companies like Amazon, Databricks, OpenAI, Google, and both startups and large enterprises. Together, they also teach the number one rated AI course on Maven, where they teach product leaders all of the key lessons they've learned about building successful AI products. The goal of this episode is to save you and your team a lot of pain and suffering and wasted time trying to build your AI product. Whether you are already struggling to make your product work or want to avoid that struggle, this episode is for you. If you enjoy this podcast, don't forget to subscribe and follow to your favorite podcasting app or YouTube. It helps tremendously. And if you become an annual subscriber of my newsletter, you get a year free of a ton of incredible products, including a year free of Lovable, Replit, Bold, Gamma, NA, and Linear Dev and Posttalk, Superhuman, Descript, Whisper Flow, Perplexity, Warp, Granola, Magic [inaudible 00:02:38] Mobbin, and Stripe Atlas. Head on over to lennysnewsletter.com and click product pass. With that, I bring you Aishwarya, Reganti, and Kiriti Badam after a short word from our sponsors. This episode is brought to you by Merge. Product leaders hate building integrations. They're messy. They're slow to build. They're a huge drain on your roadmap, and they're definitely not why you got into product in the first place. Lucky for you, Merge is obsessed with integrations. With a single API, B2B SaaS companies embed Merge into their product and ship 220 plus customer-facing integrations in weeks, not quarters. Think of merge like Plaid, but for everything B2B SaaS. Companies like Mistral AI, Ramp, and Drata use Merge to connect their customers as accounting, HR, ticketing, CRM, and file storage systems to power everything from automatic onboarding to AI-ready data pipelines. Even better, Merge now supports the secure deployment of connectors to AI agents with a new product so that you can safely power AI workflows with real customer data. If your product needs customer data from dozens of systems, Merge is the fastest, safest way to get it. Book and attend a meeting at merge.dev/lenny, and they'll send you a $50 Amazon gift card. That's merge.dev/lenny. This episode is brought to you by Strella, the customer research platform built for the AI era. Here's the truth about user research. It's never been more important or more painful. Teams want to understand why customers do what they do, but recruiting users running interviews and analyzing insights takes weeks. By the time the results are in, the moment to act has passed. Strella changes that.…
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