The Agent Builder's Handbook is a comprehensive guide to designing, building, and deploying AI agents. It treats agent building as the design discipline it actually is, not just a coding exercise. You will learn to master the four fundamental pillars: architecture, tools, memory, and guardrails. You will understand the critical difference between workflows and agents, and know exactly when to use each one. You will learn modern protocols like the Model Context Protocol (MCP) for tool integration, advanced memory architectures, and how to build guardrails that separate hobby projects from production systems that can be trusted with real users.
This book provides the vocabulary and decision framework you need to build reliable, scalable, and safe AI agents. It will save you from the architectural debt that plagues most agent projects by helping you ask the right questions before you start building.
Inside, you'll discover:
• What truly makes a system an agent vs. a simple workflow
• The Architecture Decision Framework to choose the right pattern
• Prompt engineering for agent behavior, including Chain of Thought
• Tool design and integrating the Model Context Protocol (MCP)
• Building Memory architectures: short-term, long-term, and vector databases
• Orchestration patterns: prompt chaining, routing, and multi-agent systems
• Guardrails and safety: preventing hallucinations and prompt injection
Build agents that survive contact with real users. Get your copy of "The Agent Builder's Handbook" today.