Lenny’s Podcast116 min
Kevin Weil · Apr 10, 2025
Key learnings- Build products at the edge of current model capabilities, since models improve every few months and a barely-working product can…
- Treat evals as unit tests for models: define hero use cases, write evals for them, and hill-climb on those evals to know whether…
- Expect AI behavior to be fuzzy: a model right 60%, 95%, or 99.5% of the time implies very different product designs, so study…
Lenny’s Podcast128 min
Nick Turley · Aug 9, 2025
Key learnings- Ship early to learn what people actually want; with AI, the valuable behaviors are emergent, so you won't know what to polish…
- Treat the model itself as a product: iterate on it using real user use cases, personality/vibe checks, and new capabilities like…
- Set the team's pace deliberately by asking whether work is 'maximally accelerated', separating fast product iteration from…
Lenny’s Podcast108 min
Cat Wu · Apr 23, 2026
Key learnings- Shorten the path from idea to user: AI-era timelines have shrunk from six months to days or a week, so PMs should focus on…
- Ship features as clearly labeled research previews to lower the commitment of launching and get fast user feedback that can be…
- Set a clear, specific goal for who the key user is and what success means, which rules out many approaches and speeds decisions.
Product Talk · Teresa TorresMay 19, 2026
May 19, 2026
“Listen to this episode on: Spotify | Apple Podcasts What happens when a product leader accidentally becomes an AI engineer? In this episode, Teresa Torres shares how she went from occasional tinkerer to spending 60% of her time doing real engineering work — building AI-powered tools for continuous discovery, forming a”
Product Talk · Teresa TorresOct 22, 2025
Oct 22, 2025 · 12 min
Teresa Torres argues that generative AI changes many product-management practices (prompt engineering, context engineering, orchestration, and evals) but that core fundamentals still determine whether a product…
@ttorres · Teresa Torres on X♥ 9
💭 "I wish I could click on this card and be like, 'Clean this up.'" When a customer pointed out a flat, unstructured branch in her AI-generated opportunity solution tree, it sparked a three-week journey to fix the problem at its source. Here's what you'll learn from this article: How one customer…