[danielbln]

A breadth and depth of training data is important, but modern models are excellent at in-context learning. Throw them documentation and outline the context for what they're supposed to do and they will be able to handle some out-of-distribution things just fine.

I would love to see some detailed failure cases of people who used agentic LLMs and didn't make it work. Everyone is asking for positive examples, but I want to see the other side.