Most books about AI agents stop where the hard part begins. They teach you to wire a model to a few tools, watch it complete a task in a demo, and declare victory. This book is about everything that happens after the demo works: the evaluation, testing, observability, safety, cost control, and operational discipline that separate a party trick from a system people can depend on.

Who this book is for ? You’ve built an agent that works on your laptop. It demos well. But you have a nagging sense that shipping it to real users is a different game entirely. Out there it faces inputs you never imagined, costs real money, and occasionally fails in public. You’re right to be nervous. This book is your field guide for closing that gap.

You do not need prior production-ML experience. You do need to be comfortable reading code and to care about building things that hold up under pressure.

If you’re newer to agents than that, and words like "agent," "tool call," and "grounding" aren’t yet second nature, start with Part I, Foundations. It explains what an agent is, how one actually works, and when you should (and shouldn’t) build one. Readers already fluent in the basics can skim Part I and begin in earnest at Part II.

• Paperback: 292 pages
• Publisher: White Falcon Publishing; 1 edition (September 2026)
• Author: Pramod Singh
• ISBN-13: 9789376313723
• Product Dimensions: 6 x 9 inch

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