A 4-part series to help you master this topic step by step.
Why do chatbots forget context? The difference between vector 'memory' and true 'state.' How to use state machines (LangGraph) to maintain variable integrity across a 50-step process.
If your tool definition is vague, your agent will fail. Best practices for Pydantic validation, error handling, and designing 'unbreakable' tools that recover gracefully from bad LLM calls.
Never let an agent push code to production without a review. How to build a 'Critic' agent that reviews, lints, and rejects the work of the 'Builder' agent before a human ever sees it.
If you don't test it, you can't deploy it. But how do you unit test a probability engine? Strategies for 'LLM-as-a-Judge,' deterministic mocking, and continuous evaluation pipelines.
Begin with Part 1 and work your way through the series at your own pace.
Start with Part 1