What puzzles me is, what matters is context. Most of the context would be the specific model I used and its training data, the result of tool calls, and the model's inner monologue/thinking (which is increasingly getting encrypted by frontier models). My prompts are a tiny sliver of that, and most of them dependended on the actual answers I was getting from the model in the middle of the whole process. Or the result of handoffs, or internal compactions.

What's the value of getting all my prompts if the rest of the equation is unknowable? Unless you mean the value is in the full agent log, but even then, frontier models and harnesses would still be hiding a major part of the equation from us.

Wouldn’t the same argument apply even if they didn’t use AI? Being able to drill into coworkers minds would be nice on many occasions.