Context Engineering for Multi-Agent Systems

Preface

Generative AI is powerful but unpredictable. This book shows you how to turn that unpredictability into reliability by moving beyond prompt tinkering and thinking like an architect. At its heart lies the emerging discipline of context engineering, the practice of structuring, managing, and governing the information that large language models use to reason, decide, and generate. You’ll explore this concept through the Context Engine, a transparent, glass-box system built on multi-agent collaboration and retrieval. You’ll learn how to strengthen and deploy this architecture step by step, transforming raw model outputs into verifiable and policy-aligned intelligence.

Across the chapters, you’ll build the Context Engine from first principles, ...