prompt + all other bits of information the context has been seeded with before the output was created (documents, web searches, other sources) in which case it might be more efficient to just consume the final deliverable (yourself or via LLM).

Fair point. We could classify AI generated articles in two categories:

1) articles generated with context data that's trivial to find (or even embedded into the model)

2) articles generated with context data that's hard to find or not publicly available