Depending on what I’m doing I’ll dedicate a few deep research sessions to building a framework. It will generate some grounding docs that go into the repo and get consumed as we go. Said docs establish terminology, widely known formulas and methods, etc.

And yes the output of these researchers are highly sensitive to prompting. Left to their own devices the LLM will often ship some very biased prompts to its deep research agents loaded with pre-conceived ideas rather than letting the agents uncover things themselves. Then all the agents do is confirm what the prompt told them to rather then “think independently”. (Very similar to open ended interview questions rather than asking yes/no questions)

It’s is far better to spend a session writing writing the research prompt itself.

All of this takes time and tokens of course…