Drawer 05 · 298 notes · 90 people · 2014–2026

Building AI products

AI-native products, evals, agents, and how AI changes product work

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Answers from Building AI products notes, cited
Lenny’s Newsletter♥ 184

How should you monetize your AI features?

Jul 30, 2024 · 15 min
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Lenny Rachitsky and Palle Broe analyze how 44 application-layer tech incumbents monetize AI features, comparing direct and indirect strategies. They argue direct monetization (add-ons, standalone products, or plan…

HEY World · Jason FriedMar 20, 2026

The bespoke software revolution? I'm not buying it.

Mar 20, 2026

“A bespoke software revolution? I don't buy it. It'll exist. It already exists. Small consultants and big consulting firms have made custom software for years. It almost always sucks. It’s bloated, confusing, and because the client pays, it’s built in all the wrong ways. Who’s excited about bespoke software? Software makers! Of course they're excited about building bespoke software —…”

The Looking Glass · Julie Zhuo♥ 40

What will make personal AI go big?

Sep 24, 2026
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Julie Zhuo reflects on Muse, a consumer AI agent she believes could actually change people's everyday habits. The essay, which is paywalled, argues that a few specific design choices explain why personal AI might…

SVPG · Marty CaganAug 10, 2026

A Fresh Definition of The Product Role

Aug 10, 2026 · 5 min

Marty Cagan reflects on the many competing definitions of the product role and argues that how a product person defines their job reveals a lot about their experience. He highlights an analysis by technology analyst…

SVPG · Marty CaganApr 16, 2026

Build to Learn vs Build to Earn

Apr 16, 2026 · 6 min

Marty Cagan argues that product work has two distinct modes: the project model, focused on output from predefined roadmaps, and the product model, focused on outcomes. As delivery costs have collapsed with AI, the…

HEY World · Jason FriedJan 6, 2026

The joy of delegating to competence

Jan 6, 2026

Jason Fried argues that the excitement around AI agents comes less from the technology itself and more from the psychological experience they create: delegating a task to someone fully competent. He notes that most…

Lenny’s Newsletter♥ 255

Best of Lenny’s Newsletter 2025

Jan 6, 2026 · 8 min
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Lenny Rachitsky's year-end roundup collects the most popular posts from his newsletter, grouped by theme such as AI, career, strategy, growth, and execution, plus a few all-time classics. He also reviews his 2025 goals…

The Looking Glass · Julie Zhuo♥ 95

You Cannot Mandate an AI Transformation

Sep 1, 2026
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Julie Zhuo's paid essay argues that an AI transformation cannot be ordered into existence from the top down. It presents a ten-step guide to leading an AI shift in a way that preserves care for people and their sense of…

SVPG · Marty CaganSep 25, 2026

Experts Lead Experts

Sep 25, 2026 · 3 min

Marty Cagan argues that the current trend of cutting managers in favor of pure individual-contributor builders is a temporary phase rather than the future. He restates the principle that experts lead experts: effective…

SVPG · Marty CaganSep 4, 2017

Leveraging Data Science

Sep 4, 2017 · 4 min

Cagan argues that many product companies have yet to seriously consider data science, even though leading firms are already gaining advantages from it. He distinguishes data science from traditional analytics by its…

SVPG · Marty CaganMar 3, 2022

Protecting the Planet, One Customer at a Time

Mar 3, 2022

This article describes how John Deere, a 185-year-old equipment maker, is repositioning itself as a technology company centered on "smart farming." Facing a projected global population of 9.6 billion by 2050 and rising…

SVPG · Marty CaganMay 27, 2025

The Era of the Product Creator

May 27, 2025 · 3 min

Marty Cagan argues that the core of the product manager job is product creation: working daily with designers and engineers to solve customer problems in ways that are both loved by customers and viable for the…

Lenny’s Newsletter♥ 432

Become a more technical product manager

Mar 26, 2024 · 13 min
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Lenny Rachitsky, with instructor Colin Matthews, offers a practical primer for product managers who want stronger technical fluency. It walks through application architecture (client, server, database), how APIs work…