Everyone is selling you an "AI agent." This book gives you the instruments to know what you're actually looking at.
AI agents — software that pursues goals through its own loop of perceiving, deciding, and acting — are the most consequential shift in software since the internet. Yet the words around them (agent, agentic, copilot, autonomous, AI-native) are used so loosely that even professionals talk past each other. This book fixes that, hands-on, with no code required.
Through sixteen labs you can run with any mainstream AI assistant, and the story of one small business adopting agents week by week, you will learn to:
Every chapter also digs deeper: a research lineage tracing each idea to its sources (from 1940s cybernetics and Shakey the robot to ReAct and MCP, from aviation's autonomy research to the Air Canada chatbot ruling), a failure catalog drawn from real incidents, a worked professional artifact — an annotated trace, a written autonomy plan, a vendor-deck teardown — and five exercises that install the skills in your own work. A further-reading appendix routes every chapter into the literature by author and year.
Who it's for: business readers, managers, students, and curious professionals — no programming assumed. Builders will find it the fastest on-ramp to the rest of The AI Agent Series.
The AI Agent Series takes readers from first contact to professional mastery across seven volumes. This is Book 1: the map.
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