Summary
Add a small, persistent Active Work checklist that can be attached to a ChatGPT conversation or Project and updated by both the user and ChatGPT.
The goal is to give long-running conversations a lightweight way to track what we’re currently working on and what comes next without turning ChatGPT into a full project-management tool.
The problem
Long-running conversations often become active workspaces for projects, research, planning, learning, and other ongoing work.
As the conversation grows, the immediate state of the work gets buried in the message history:
- What have we finished?
- What are we working on now?
- What should we do next?
- What did we decide to defer?
ChatGPT can often reconstruct this from conversation history, but that is different from having a small, explicit source of truth that both the user and ChatGPT can see and maintain.
Proposed feature
Allow a conversation or Project to have a small pinned Active Work area.
For example:
Active Work
- Define project requirements
- Review initial research
- Draft first prototype
- Test with users
- Review findings
The checklist would remain visible independently of the conversation history.
Both the user and ChatGPT could update it conversationally.
For example:
“Add accessibility testing to our list.”
“Mark the prototype complete.”
“Move user testing ahead of documentation.”
“What’s next?”
ChatGPT could use the checklist as structured context when answering the last question rather than reconstructing project state from a long conversation.
Important distinction from pinned messages
Pinned messages and bookmarks help users find important information.
This would help users and ChatGPT maintain current working state.
It should be intentionally lightweight rather than becoming a replacement for Jira, GitHub Issues, Asana, or other project-management systems.
A checklist of roughly 3–10 active items would probably cover many use cases.
Project-level option
For ChatGPT Projects, it could be especially useful if the Active Work list could optionally live at the Project level.
That would allow multiple conversations to contribute to the same small working state while the individual chats remain focused on their respective topics.
Why this would help
There is a useful distinction between three kinds of information in long-running AI work:
Conversation → discussion, exploration, and active thinking
Active Work → what is happening now and what comes next
External systems → durable documentation, issues, decisions, code, and other long-term sources of truth
ChatGPT already handles the first category very well and can work with external systems for the third.
A small shared Active Work area could fill the gap between them.
It would make long-running conversations feel less like message histories and more like persistent collaborative workspaces without adding the complexity of a full project-management system.