At the risk of you already knowing this or similar - in essence for a slice of a piece of work, you get the LLM to research the information required into (usually) a research file, which you go back and forth with in-line or via conversation until you're happy.
You then build the plan for the piece of work, again going back and forth with the LLM until you agree with the plan, with the key here being you have a specific set of concrete steps with very limited vagueness. Again this is quite often a plan document.
You then implement the plan with your LLM, following the concrete steps and monitor/evaluate the result.
For me its the 101 mandatory first way to use LLM that turns it from guesswork to genuinely useful. (that or some other similar method, SDD or whatever)
Because without it or something similar you're fully dependent on AI's weaknesses not coming to the fore (context/scoping failures that are silent unless you demand visibility up front and ruthlessly chop/clarify), and you often ascribe bad AI slop as model limitations instead of context/scoping failures.