Why Most AI Agents Fail — and How a Simple Todo List Fixes It
Most AI agents don’t fail because the model is bad — they fail because they don’t plan. In this video, @christian-bromann from LangChain shows how the TodoListMiddleware gives your agents structure: they can break complex problems into smaller steps, track progress, and execute workflows reliably.
You’ll learn:
Why planning helps agents handle complex, multi-step tasks
How to add TodoListMiddleware to your LangChain agent
When planning is powerful — and when it actually hurts performance
📚 Learn to build agents with LangChain on LangChain Academy: https://academy.langchain.com/collect...
💻 Example code: https://github.com/christian-bromann/...
📚 Learn more: https://docs.langchain.com/oss/javasc...