The only PM blog written by someone who still ships code every week. Failed experiments included. Agent recipes you can fork.

LinkedIn replaced its APM program with Product Builder and framed it as generalists. The real shift is collapsing the distance between deciding and making.

The PM role is fragmenting into AI-native, growth, monetization, platform, and GTM labels. Most of it hedges an org-design decision. Name the outcome you own.

Slack is running tiny cross-functional squads that prototype continuously instead of committing to fixed roadmaps. The org-chart version of the PRD collapse.

Airtable didn't fail. It has roughly $480M ARR growing over 20%. What collapsed was the story investors were paying for. Here is what actually happened, why the AI pivot didn't save the multiple, and what I am doing differently because of it.

The 2026 CPO Insights Report says product managers disappear by 2030 and product builders take their place. The role is real. The framing points at building, at exactly the moment building stopped being the constraint.

Anthropic's Dianne Penn on evals as the new PRD, catching discontinuous capability jumps, and why product judgment matters more than ever in the AI era.

A product leader asked for eval rubric resources. Here is the method I actually use: grade thirty outputs first, tie every dimension to downside exposure, and go binary.

The PM's job was never to make decisions, it was to make sure decisions get made. In the AI era, when agents build in a day, that job becomes the whole game.

The best defense of the human PM is that AI can't understand the user. But that user is a departmental role, and agents are dissolving the departments.

Half your readers are now agents. Writing that executes faithfully is its own craft: specs as eval sets, prompt hygiene, GEO basics, and the cold-read test.

The World Cup is two tournaments bolted together. Knowing whether a product decision is group stage or knockout is the same question as downside exposure.

The rider with the most stage wins almost never wins the Tour. A model for AI product management: cumulative outcome over heroics, on a team you never see.

Judgment is trainable, but only with reps and a scorecard. The decision log, calibration habit, premortems, and a 4-week plan to train PM decision quality.

The PM role is fragmenting into AI-native, growth, monetization, platform, and GTM labels. Most of it hedges an org-design decision. Name the outcome you own.

LinkedIn replaced its APM program with Product Builder and framed it as generalists. The real shift is collapsing the distance between deciding and making.

Applause adds nothing and dunking loses the room. Concede the strongest objection, then add a frame the thread did not have. Two exchanges show how.

A 9-slide QBR deck template: scoreboard vs plan, decision review, kills, next-quarter bets with confidence and reversibility. Outline plus PowerPoint.

Financial fluency is now a PM job requirement. The five numbers to know cold, the finance working session agenda, and a 4-week plan to own your margin.

Slack is running tiny cross-functional squads that prototype continuously instead of committing to fixed roadmaps. The org-chart version of the PRD collapse.

Cheap prototyping did not kill product judgment. It moved the decision from picking the winner to seeding the bracket of what gets prototyped at all.

If you hire PMs off resumes in 2026, you screen for prompting skill, not product skill. What still correlates: published thinking a model cannot compress.