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How AI Agents Really Work
Think The Phoenix Project or The Goal, but for the age of AI agents: a business novel that teaches a hard technical subject through story and humor, aimed at the people who have to make decisions about it, as well as people who are actively engaged in architecture and engineering.
Minimum price
$19.00
$24.00
About the Book
An office comedy that teaches non-technical leaders how AI agents are really built, deployed, and run in production in a fun and humorous manner.
Contains Best Practices from Claude and OpenAI
You have heard that your organization needs AI agents. You may even be the person expected to make it happen. And in every meeting about it, there is a moment when the slide says "agentic workflow," the room nods, and you quietly wonder whether anyone present actually knows what that means.
This book is for that moment.
Confidently Wrong is a complete, honest tour of what it takes to bring AI agents into a real organization: to build them, deploy them, govern them, and keep them alive in production once customers depend on them, disguised as an office comedy you will actually want to finish.
On the floor of a company called Cogentic there is one underlying brain, and every employee is that same brilliant, slightly out-of-date brain wearing a different hat. Underneath, they are the same mind arguing with itself, which is exactly why the cardinal rule of the floor is *Don't Talk to Each Other.
You learn it the way Newt, the newest hire, does: one mission at a time, by watching a confident answer fall apart in exactly the way that teaches the most. Planning, tools, retrieval, memory, cost, security, fairness, resilience, observability, drift, safe deployment, every hard thing a real team has to get right gets its own scene, and its own laugh.
Finish it, and you will be able to sit in that meeting and explain, in plain words, why a system that sounds completely sure of itself still needs watching.
About the Author
Ritesh Modi is Head of AI at MarketOnce and a former Forward Deployed Engineer at Microsoft. He has spent more than a decade building and shipping production systems across cloud, distributed computing, and applied machine learning, working with organizations ranging from global enterprises to fast-moving startups. His recent work focuses on applied large language models, designing systems that turn pretrained models into reliable, task-specific tools.
Ritesh has authored multiple technology books and speaks regularly at industry conferences on AI, cloud architecture, and software engineering. His writing philosophy rests on a simple belief: the best technical books are written by practitioners who still remember what it felt like to not understand something, not by experts who have forgotten. Every explanation in this book was tested against that standard, if it would not have made sense to him when he was first learning this material, it was rewritten until it did.
He writes, shares ideas, and connects with readers at www.riteshmodi.com. When he is not writing or building AI systems, he can be found mentoring engineers, exploring new architectures, or debugging a training run that should have converged three hours ago.
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