I agree, it sounds like you have a problem between your keyboard and chair, if you're generating any volume of output and not getting it in detail.

The act of vetting it and finding the failures will increase understanding, but at a cost in speed over doing the research from scratch. (Generating subtly wrong text is often a good way to test understanding, and the output of AI systems is typically a mangled clone of some other well understood system. A very good exercise is building your internal pattern recognition so you can tell what's been mangled, mashed, and served up)

AI is very good at making the mash sound plausible, however, so if you don't look extremely closely, you end up repeating instead of dissecting it. And if you're hoping to learn from the AI how to design a system, you're in trouble.