What I find interesting is that AI is surprisingly bad at writing agentic flows. We're setting up a lightweight system where the core logic lives in markdown files agent identity, rules, context, memory to create specific report outputs.

Every time we ask the model to help build out this system, it tries to write a Python script instead. It cannot stop itself from reaching for "real code." The idea that the orchestration layer is just structured text that another LLM reads is somehow alien to it, even though that's literally how it works.

It's like asking a native speaker to teach their language and they start building Duolingo