Showing 25–30 of 30 articles tagged AI Product Management

AI commoditises execution. The scarce resource is knowing what to build, for whom, and when to stop. That's taste, and it's the career bet worth making.

Most teams evaluate agents with manual chats and gut feel. A practical framework for eval suites that let you ship, starting with 20 examples, not 20,000.

Agentic coding compressed the PM translation layer to zero. The three skills that matter now: problem shaping, context curation, and taste as judgment.

AI strategies fail because leaders set direction for a capability they have never used. You cannot strategise well for a material you haven't touched.

A 5-step agent at 95% accuracy per step is only 77% reliable. The path forward isn't better agents, it's narrower ones. Three rules for workflows that ship.

Meta PMs vibe code prototypes for Zuckerberg. LinkedIn scrapped their APM program. The PM role is being redefined, and the new skillset is prompt, build, eval.