Book LaunchPatterns for
Building AI Agents

Agents are AI in action. As people pushing agents into production at prominent AI companies share lessons learned through their successes (and failures), fundamental patterns are beginning to emerge.

We collected these lessons into a handbook of practical patterns for building AI agents, including:

• Design patterns for agent architecture, creating dynamic agents and building human-in-the-loop workflows
• Context engineering fundamentals like parallelization and context compression
• Eval workflows for understanding not just what your agent is doing, but why
• Security fundamentals for preventing prompt injection and building agent guardrails

Practical Patterns for Building AI Agents will help you build better agents, faster.