Exactly! We're in a transition period where technical knowledge exists but AI can't access it. This bridges that gap until models retrain. The methodology works for any new framework - Foundation Models just happens to be the current example.

I used AI research tools to systematically extract and organize Foundation Models knowledge from over 100 sites that wasn't in any training data. The value is in the methodology and validation, not just raw output.