Most agent tutorials teach you to build agents that work on the happy path. Ticker is valid. API returns 200. Model doesn’t hallucinate. Tool schema hasn’t changed. Input is well-formed. Everyone’s polite. Then you ship it. And at 3am on a Tuesday, your agent is stuck in a loop calling the same broken tool 47 times, burning through your API budget, returning confidently wrong answers to your users, and you’re the one who has to fix it.
This course is about the other 90% of the job.
I’m going to teach you how to build an agent that detects its own failures, diagnoses why it failed, rewrites its own broken tool calls, modifies its own system prompt, switches strategies when one approach stops working, remembers its mistakes so it doesn’t repeat them, and knows exactly when to escalate to a human instead of pretending it has the answer.
