Human insight can emerge from attacking the semblance of sense in the LLM's output.

Much of the cognitive work in writing emerges in the labor of writing prose and challenging assumptions against the model you build in your head as you go. I've found this process is inverted when working with an LLM: it in effect emits a provisional structure first, and I discover what I actually think by finding where its output is vague, overconfident, incomplete or outright false.

Accepting surface-level coherence as finished thought is the failure mode to avoid.