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Most AI agents work great in a demo and fall apart the first week real people use them. They crash and lose track of what they were doing. They give a confident answer that turns out to be wrong, and no one can tell why. The bill shows up and no one saw it coming. By some counts, close to 88 percent of agent projects never make it past the demo. This book is about the other side of that number.Production AI Agents is a hands-on guide to taking an AI agent from "it works on my machine" to something you can trust in front of real users. It is built around one running example: an agent that investigates real problems in a live system, which you can download, run on your own laptop, and break on purpose to see how each piece holds up. Every chapter adds one part of the system and ends with a short checklist you can apply to your own agent this week.You will learn how to:Keep an agent on track when its process crashes partway through a jobShow that it gives the right answer, with real numbers instead of a gut feelingSee exactly what it did, and why, for any runKeep its cost steady and predictable as you growLet it take real actions safely, one step at a time, instead of all at onceThis book is for anyone building AI agents, whether you already have one running or are just getting started. It does not assume you have shipped an agent before. It assumes you have written software and want to build one that survives real use.If you want to build an agent that holds up in front of real users, start here. Read more








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