Acknowledgments

First, the disclosure this book owes you more than most: AI drafted early versions of many of these chapters. I briefed it, reviewed everything, rewrote what needed rewriting, and I am accountable for every word that made it into your hands—which is to say, this book was produced by the exact workflow it teaches. The intern drafted. I decided.

To the client team who trusted me to build the workflows that became the foundation of this book—you let me experiment with real stakes and real consequences, and the results spoke for themselves. The 72,000 messages a month weren’t a thought experiment. They were Tuesday.

To the early readers who went through rough drafts and told me where I was being too abstract, too obvious, or too in love with my own frameworks—your honesty made this book shorter, sharper, and more useful. Every “I don’t understand what you mean here” note made the final version better.

To the AI researchers and developers whose work made all of this possible—and whose work I’ve spent an entire book telling people to verify before trusting. I mean that as a compliment. You built something powerful enough that it demands respect, not blind faith.

To my family, who listened to me talk about prompt engineering at dinner more times than anyone should have to, and who understood when I disappeared to write “just one more section” on weekends. The book is done now. I’ll be more interesting at dinner.

And to every professional who’s trying to figure out how AI fits into their work without losing what makes them good at it—this book is for you. The answer isn’t to fear AI or to worship it. It’s to manage it the way you’d manage any talented, confident, occasionally unreliable team member.

Give it clear tasks. Review the work before it ships. Own what goes out the door.