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·1 days ago·Dev community · RSS

I built a small tool for continuing work from dead/overloaded AI chats — curious if others have the same problem

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A user developed a desktop tool to address the issue of long AI chats becoming unmanageable.…

I’ve been working with long AI chats for months, and I kept running into the same issue:

At some point, the chat becomes too large, too slow, too chaotic, or simply too hard to continue.

The problem is not that the work is gone. The problem is that the work is trapped inside a messy conversation.

So I built a desktop tool for myself — and I’ve been testing it in my own workflow for several months now.

The basic idea is simple:

old AI chat → raw text → project structure → clean handoff → new AI instance can continue

It is not meant to be another summarizer.

A normal summary gives you: “Here is roughly what happened.”

What I wanted was: “Here is the usable working state so I can continue without starting from zero.”

The tool lets me load raw chat text, detect separate projects/topics, review and correct the structure, remove noise, merge or split projects, and export either a full instance rescue, a single project checkpoint, a reference file, or a ZIP archive.

After months of using it myself, the biggest difference is this:

I no longer feel like a long AI chat is a dead end. I can pull the useful working state out, clean it up, and continue in a new instance.

The core idea is:

AI work only becomes truly productive when it becomes transferable.

If a project lives only inside one long chat, it eventually dies with that chat.

I’m not posting this as a polished product launch. I’m honestly trying to find out if this is a real pain point for other heavy AI users, developers, writers, researchers, creators, or people building things with AI every day.

For me, this solved a very annoying problem: I can now restart from a clean handoff instead of explaining everything again.

So my question is:

Do you also lose useful work inside long AI chats? And would a “handoff layer” for serious AI work be useful to you?

I’m considering releasing a light version for testing, but I want feedback before deciding how far to take it.

To me, this feels like the missing handoff layer for serious AI work — but I’m trying to find out if that is just my workflow or a broader problem.

TopicsOpenAI
Keywords#continuing#overloaded#curious#problem#others#built
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