Agentic System Design

Agents are powerful but expensive. Learn the five situations where a well-crafted prompt outperforms an agentic system, and the decision tree for choosing the right level of automation.

Teach agents to review their own work. Implement the reflection pattern to catch hallucinations, verify outputs, and build agents that improve through self-critique.

The tools you give your agent define what it can do. Learn to design robust tool interfaces, handle errors gracefully, and build the scaffolding that makes agentic systems production-ready.