5 ms·
Ask HN: How do you manage long running AI conversations?
ASK HN: I’m trying to understand how people handle longer running AI conversations that span days or weeks and involve exploring multiple approaches.
Personally, I keep running into issues like:
- losing track of where a useful insight actually came from
- meandering threads where good ideas get buried in tangents
- having to re-explain context when returning later
- branching ideas across multiple chats
Curious how others deal with this today.
Do you keep everything in one thread? Split aggressively? Export to notes/docs? Something else entirely?
If you prefer to share your workflow privately would love to hear about it: fieldnotes6@gmail.com
- iisweetheartii 8mo ago[dead]
- deleted 8mo ago[deleted]
- uberman 8mo agoI assume you mean outside the boundaries of context window size or token thresholds right?
- boh144 8mo agoBoth in a way. I'd say it gets worse outside the context window it seems to get worse due to compression and loss of detail. Even in a single context window it's hard to keep ideas and branches clean and remember important insights.