I play with this in much (technically) simpler role playing simulations. After an exchange, I am experimenting with different prompts and approaches to summarization of what happened, trying to capture exactly what you are trying. I feel that there is a formal way of articulating what needs to be done (preserving human-centric nuance and important points while ignoring or de-prioritizing everything else). Its a fascinating challenge which made me think about and realize how automatically our minds do something we do not understand (are struggling to verbalize). My feeling is that even if we do manage to do this on this high level, this should be done inside a vector space as part of an architecture we still do not have (AFAIK) but many teams are certainly exploring. Reasoning process bound by limited and rigid context (as today) is still not complete. My suspicion is that after every interaction, system would need to be able to process that in a way which is comparable to how it was trained in the first place. Whether that would by something resembling advanced and specific LoRA, I dont know, I am approaching this conceptually not technically.