Product Mindset

You'll learn how to write dated, human-cost-based kill criteria for an AI agent pilot before its first demo, and how to stick to them when the review date comes.

You will learn how to write the failure cases into a spec before the feature, so a coding agent doesn't quietly make product decisions for you, and how to review agent PRs for the places where those decisions hide.

You'll learn why reviewer attention is the real bottleneck when coding agents write your code, and how to design agent PRs that flag their own uncertainty, and how to check that those flags are honest.

You'll learn how to write acceptance criteria a coding agent can follow without asking questions, using the no-questions test, must-NOT criteria, and a split between machine-checkable and judgment criteria.

You'll learn why your team's success rate with its own AI agent overstates how well the agent works, and how to run cold dogfooding sessions that measure the product instead of the people who built it.

You'll learn how to treat a feature flag rollout as a product decision when coding agents write much of your code, using a rollout card that sets the segment, exposure steps, metrics, rollback condition, owner and kill date.

You'll learn how to define an activation event that shows a user actually got value, using AI coding agent adoption as the worked example, and how to test any activation metric with three questions.

When an AI agent quietly closed a bug ticket overnight, one engineer felt free and another felt erased — and the gap between them had nothing to do with skill.

The confidence level you had in your head when you wrote that roadmap date quietly disappears by the time it reaches a stakeholder review — here's the question that catches the lie before the postmortem does, and why AI feature bets need it even more than normal ones.

A customer's screen share exposed the interview I'd been avoiding for three months — and the real gap between an AI feature that's accurate and one people actually trust.

Most of the 'experiments' your team ships never had a shot at losing — here's the three-second question that tells you which kind you just ran.