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Lenny’s Podcast118 min

This CPO regrets that product management exists

Tom Verrilli · Aug 2, 2026
Key learnings
  • Don't hire a PM by default for every team; hire one only where there is a specific need, since engineers and designers can often…
  • Product management is a trade built through repetition, so spreading PM reps to engineers and designers strengthens their…
  • Map PMs to problems and six-month company priorities rather than fixed teams, so ownership follows the work and people build…
Substack · Shreyas Doshi♥ 138

The Antithesis Principle

Jul 26, 2026

The source text provided is only the title, subtitle, author, date, and type, with no body content to analyze. The title suggests an essay on the Antithesis Principle, framed as something smart people overlook and wise…

Lenny’s Podcast102 min

Anthropic’s first technical PM on token maxing, the jagged edge, and living in the future

Dianne Penn · Jul 26, 2026
Key learnings
  • Treat evals as the new PRDs: turn vague user complaints into concrete, reproducible test sets that researchers can act on and…
  • Dig into user transcripts, not just pixels, to find where the model actually failed, such as wrong tool calls, bad retrieval, or…
  • Keep strong conviction about a theme or area while staying loose about the specific prototype, and revisit bets across one to two…
@ttorres · Teresa Torres on X♥ 2
NHS clinicians get ten minutes with a generalist, if they can get an appointment at all—leaving little room for the specific, personal questions women's health actually requires. Hertility Health made a longer intake mandatory before purchase, and something unexpected happened: conversion went up…
HEY World · Jason FriedJul 24, 2026

Mistaking making for the thing you've made

Jul 24, 2026

Jason Fried argues that how fast a product is built, how many commits or people went into it, and how many hours were spent are all development metrics about the work, not the product. These measures say nothing about…

SVPG · Marty CaganJul 23, 2026

The AI Productivity Paradox

Jul 23, 2026 · 3 min

Marty Cagan argues that the so-called AI productivity paradox, where teams ship faster but outcomes do not improve, is not really a paradox at all. Most organizations use AI to accelerate the old project model, which is…

@ttorres · Teresa Torres on X♥ 4
How do you build trustworthy AI diagnostic tools in one of medicine's most historically under-researched areas? In this episode of Just Now Possible, Teresa Torres talks with Tulsi Patel (Director of Product and Technology), Lorna Brightmore (Head of Data and AI), and Jack Pickard (Head of…
@ttorres · Teresa Torres on X♥ 3
I'm seeing a huge difference in performance (in a bad direction) across my evals moving from Sonnet 4.6 to Sonnet 5. Previously, my service ran at temperature 0. I'm wondering what prompt strategies people are using to constrain Sonnet 5 now that temperature is no longer an option.
Lenny’s Podcast87 min

Netflix CPTO on AI and the future of product and tech roles

Elizabeth Stone · Jul 19, 2026
Key learnings
  • Expect a 'storming' phase with new technology; don't abandon AI, but be deliberate about capturing benefits while limiting costs…
  • Let product, design and data people prototype early against a clearly defined business problem, while still working with…
  • Invest in source-of-truth data, guardrails for shipping and testing, and review processes where AI output needs verification, and…
@ttorres · Teresa Torres on X♥ 2
🎙️Quality of Evidence You've got behavioral analytics, support tickets, sales call notes, and a feedback inbox that never empties. With all that data coming in, do product teams actually still need to go out and talk to users? In this episode, Petra Wille and Teresa Torres dig into why not all…
Lenny’s Podcast103 min

How tech workers actually feel about AI in 2026

Annual AI sentiment survey · Jul 12, 2026
Key learnings
  • AI is splitting the tech workforce roughly in half: about half feel amplified and energized, while the other half feel redefined…
  • Burnout rose sharply from about 45% to 55% in a year while optimism fell, driven less by job loss fear than by being asked to do…
  • AI-driven productivity gains may come with a quality cost: people report doing more faster but not better, and worry about…
Lenny’s Podcast84 min

Adam Mosseri: AI is a tailwind for authenticity

Adam Mosseri · Jul 9, 2026
Key learnings
  • Small pods of four to six generalist engineers plus a generalist 'product staff' role can move faster than large specialist…
  • As building gets cheaper, spend more time deciding what to build; taste and judgment about strategy become the scarce skills, per…
  • Keep investing in tomorrow's senior talent in each function, not just today's, or the organization will regret it in a few years.
Product Talk · Teresa TorresJul 6, 2026

Ch. 8: Supercharged Ideation

Jul 6, 2026 · 6 min

This reading guide kicks off the Continuous Discovery Habits five-year anniversary book club, focusing on Chapter 8, 'Supercharged Ideation.' It argues that generating many ideas, rather than settling on the first one…

The Beautiful Mess · John Cutler♥ 30

TBM 428: Yes, Robot. Yes, Boss?

Jul 3, 2026

John Cutler reflects on the growing role of AI in product and team work, framing it as something that can play several supporting roles: a scribe that captures notes, a thought partner that challenges ideas, a tool that…

SVPG · Marty CaganJun 30, 2026

Great Products, Bad Companies

Jun 30, 2026 · 4 min

Marty Cagan argues that great products are necessary but not sufficient for a great company, because a company known for strong products attracts predatory investors and executives who strip value for quick financial…

Lenny’s Newsletter♥ 328

How top PMs increase their leverage with AI

Jun 30, 2026 · 13 min
Subscriber post — summary only

Lenny Rachitsky, introducing a guest post by Colin on AI leverage for product managers, argues that PM work is shifting from coordination toward hands-on building with AI. The post lays out three ladders of leverage…