Software is increasingly treated as disposable in the AI era. Yet we spend half our waking lives looking at screens! We don’t want to spend that time with zombie products—monotonous, vacant, and uncared for. We want products with soul. 💜 I go deep on this in my talk from @lennysan's Summit:

“They're not impressed if we animated something with 3JS and Blender in 30 minutes. They are impressed by us solving their problems and clever touches in the details that show we anticipated their needs and that our brand has some character behind it.” - @lil_dill 🔥🔥

incredible banger of a talk @danshipper - exploring the frontier vs building a product can be super opposed, but you can’t afford not to be exploring Nice work @lennysan as usual

The Lenny & Friends Summit talks are coming online! The first two just went live: 1. How to Build Products at the Moving Frontier w/ @danshipper 2. The Last Roadmap w/ @clairevo: The rest dropping over the next few days

This is the most valuable free resource we've created on AI Evals 🎉 (not exaggerating!) I organized our public materials into this guide. It allows you to find answers to your eval problems w/o searching aimlessly. Humans: pick the row that sounds like you. Agents: point it at the post The material draw on 60+ hours of office hours from our Evals course, where @sh_reya and I have taught 5k engineers and PMs Evals. We add new material often, with 15 FAQs added in the last two weeks. Recent additions are marked with a "New" badge. You can find all of these and more here:

25 awesome open design roles right now (via 1. @linear — Principal Product Designer 2. @linear — Senior / Staff Product Designer 3. @AnthropicAI — Product Designer, Evals & Prompts ($305K–$385K base) 4. @AnthropicAI — Product Designer, Design Systems ($305K–$385K base) 5. @OpenAI — Product Designer, Codex ($245K–$310K) 6. @Replit — Director of Product Design ($275K–$350K + equity) 7. @tryramp — Director, Product Design 8. @stripe — Senior Staff Product Designer, Data & AI ($210.4K–$376.8K base) 9. @stripe — Staff Product Designer, Link ($191.3K–$286.9K base) 10. @NotionHQ — Product Designer ($285K–$330K SF base) 11. @figma — Manager, Design - Systems & Infrastructure ($204K–$348K base) 12. @figma — Director, Product Design - AI & Context ($290K–$376K base) 13. @vantasecurity — Head of Design ($365K–$513K) 14. @glean — Head of Product Design ($250K–$300K) 15. @Rippling — Senior Manager of Product Design, AI Platform 16. @harvey — Senior or Staff Product Designer, Design Systems ($206K–$315K) 17. @Lovable — Staff / Principal Product Designer 18. @Lovable — Staff / Principal Design Engineer, Web 19. @vercel — Design Engineer ($208K–$312K) 20. @cursor_ai — Design Engineer 21. @databricks — Staff Product Designer, AI Products ($167K–$229K) 22. @DoorDash — Staff Product Designer, Dasher Growth ($176.8K–$260K) 23. @DecagonAI — Senior Product Designer ($212K–$265K + equity) 24. @baseten — Product Designer ($225K–$290K) 25. @clay — Product Design ($160K–$250K) Browse all the roles:

This post was a labor of love! We’ve distilled thousands of hours of work on AI Evals into a 30 min read + skills you can use to quickly uncover errors in your product. BTW in addition to high quality content, Lenny effectively **pays you** in AI credits to subscribe 🤯 It's really good!

Evals have been coming up more and more in my conversations with podcast guests and PM friends. Nearly half of the 25 awesome PM job openings I shared last week ask for experience writing evals. And leading companies keep sharing what investing in evals bought them: — @tryramp took its automatic receipt collection from 35% to 83% accuracy. — @Shopify shipped an AI workflow builder that's 2.2x faster and 68% cheaper than the frontier-model setup it replaced. — @harvey__ai rebuilt its AI contract reviewer, nearly doubling its internal quality score. — @cursor_ai tuned its Auto Balance routing, with much higher user satisfaction at 41% lower cost. So I asked the 🐐s of evals, @HamelHusain and @sh_reya, to write an advanced sequel to their very popular "Building eval systems that improve your AI product." Drawing on their work with 50+ AI companies, they share the key step most teams skip, what you should (and shouldn't) automate, and a free plugin that lets a coding agent do most of the heavy lifting. Read it here:

If you are building anything in consumer AI, this episode with @petersellis should be added to your context window. Also Peter is an investor in @ReadAI_ if you are looking for the banana stand of meeting notetakers.