An interaction pattern I've seen people do in ChatGPT: named, thematic chats.

The default style of use of ChatGPT (in my experience) is that every conversation is a new chat.

A fresh sheet of paper, totally blank context.

This works well because you don't have to worry (as much) about the LLM getting confused.

LLMs tend to "lose the plot" the longer the conversation goes on, and the farther the original prompt recedes in memory.

But a downside of this approach is that you don't get to benefit from a broader context.

There are tools, like GPT memories, but they are a kind of awkward kludge, nondeterministic.

A few people I talked to this week told me they maintain a curated set of chats with themes, e.g. "Journaling".

These are less like chats, more like append-only collaborative documents.

All of the context in that theme is right there for the LLM to draw on (especially with much larger context windows).

Information still doesn't cross chat boundaries, but the LLM is more likely to have the related context to draw on, because the user organized their chats by theme.

A user-land emergent usage pattern that moves us away from ephemeral chat and steps closer to persistent, enchanted artifacts.