I think it's also helpful to shape a general understanding if you acknowledge that details might be off. To my understanding, general orientation is an excellent use case for LLMs. They are mathematically locked in to a source-specific semantic space.

So, if you're looking for a general overview and understanding to get oriented in a space, it works well. If you're looking for research grade details to support a particular thesis, look elsewhere! (For now; classical programming can be used for complementary tools to guide the LLM in the background, and I think that's starting to become a standard environment set-up).