Building products around AI can be frustrating because your agent responses can be working one day and totally off on the next.

When things get complex with long conversations, database calls, and multiple LLM tools, understanding what's really happening under the hood is crucial.

This means observability is a major key to success when building an AI driven product

Day 3 is all about giving you the power to see, debug, and confidently improve your agent.

You will:

Learn observability and traces are
Set up Langfuse (a popular open-source solution)
Explore your first few traces
Set up custom trace metadata for your application
Implement a time-aware web scraper tool

By the end of Day 3, you'll have transformed your DeepSearch agent from a mystery into a well-understood system. You'll have the skills to diagnose issues quickly, understand agent behavior clearly, and deploy with greater confidence.