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Now it degrades without warning, fails in ways your dashboards were never built to catch, and when it goes wrong in front of a customer, everyone looks at you.
Traditional product management assumes the product does what you built it to do. AI products broke that assumption. They ship with confidence intervals instead of certainties, they fail probabilistically, and the fallout lands on the PM's desk. Managing them is a different job, and most of what's written about it is either hype or math lectures.
From Prompt to Product is the operational playbook for that job. Twenty-seven chapters of the decisions you'll actually face, with the frameworks to make them defensible to executives, legal, and users. No tutorials you'll never run. No interview trivia. Just the judgment calls that determine whether your AI feature survives contact with production.
You'll learn how to:
Who this is for: product managers and product owners shipping AI features; technical PMs who can read a system diagram but need the decisions, not the derivations; and engineering or design leads who have inherited an AI product and the accountability that comes with it.
Every chapter ends with a checkpoint you can answer out loud, and the book includes 58 ready-to-use templates, checklists, and decision frameworks - from the Master Decision Map to a full AI incident response playbook, an agent boundary specification, and a vendor evaluation scorecard. Editable Word and Excel copies of all 58 templates are available free on the book's companion site.
AI products fail silently. The PM owns the fallout. This book is how you own the system instead.
Stop improvising. Start owning the system.
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