AI product management
Use AI to move faster without skipping problem framing, customer evidence, or evaluation.
Practical guides for founders, first PMs, product engineers, and product builders: discover customer problems, decide what to build, and ship with AI.
Field guides for small teams building software, AI products, and better product habits.
Use AI to move faster without skipping problem framing, customer evidence, or evaluation.
Go from a real customer problem to an AI feature you can evaluate, release carefully, and improve.
Practical workflows for people close to the code: learn from users, choose a small bet, and give coding agents useful context.
Turn customer signals into a focused plan, and test whether people value what your team is building.
An AI product manager owns problem framing, AI behavior, evaluation, rollout, and outcomes. Learn the skills, responsibilities, and team boundaries behind the role.

Practical guides, product frameworks, and Specky updates — sent when it’s worth your time.
A product engineer combines software-building skill with direct product responsibility. Learn what the role owns, how it differs from PM and engineering roles, and how small teams can work with one.
Andrew Ng’s 1:0.5 PM-to-engineer ratio was one team’s proposal, not an industry benchmark. Here’s what the debate means for AI-assisted teams—and how to keep product and engineering aligned.