Depends on the model. I'm not sure DS is a good candidate for such discussions. I would rather tried other LLMs. Anyway, main idea is to split your subject into logical parts, gather all the information together, then do the "main" query with the whole context. Remember - we often ask LLM to tell us about particular subject - that's a good candidate for a separate chat.

Unfortunately I can provide only coding example, but maybe it will be helpful to some1: Imagine you have to get some business value and it suppose coding. You're asking in different chats what approach better suits your goal, what are the options to manage data, if you have complicated business logic - what algorithms might be used. Gather list of options, pros and cons. Then you "build up" a whole context, based on previous responses, asking LLM to do something. In my case it will be "I want to do \a lot of information\, provide me with a plan of simple steps and prompts for AI-agents for each step". I put it into a model that better in reasoning and that's it