This book is about what happens when you put an AI agent in front of real users with real problems. It is about the architecture decisions that separate systems that work from systems that fail. It is about the security vulnerabilities, cost structures, and human dynamics that determine whether your agent project survives its first quarter. The patterns in this book are drawn from observations across dozens of organizations, from five-person startups to Fortune 500 enterprises.
Inside, you'll discover:
• A clear definition of what an AI agent actually is and is not
• The decision framework for knowing when to build an agent and when to use a simpler approach
• Why most agent projects never ship and how to avoid the common pitfalls
• The truth about tool design and why it matters more than prompt engineering
• How to orchestrate agents effectively and the real cost of multi-agent systems
• Security vulnerabilities like prompt injection and how to defend against them
• Cost management techniques and how to avoid expensive surprises
The organizations that succeed with agents are not those with the most advanced models. They are those that treat agent deployment as an engineering problem that requires discipline, patience, and a clear understanding of the real-world challenges. This book gives you the roadmap.