Lately, I've come to feel that the hardest part of multi-AI collaboration isn't the prompt.

The real challenge is:

How to make Claude, Cursor, and Codex stay connected and hand off smoothly across different conversations, without treating chat history as facts.

I now basically break it down into five layers:

1. Business-line dialogue: only responsible for scheduling, judgment, and acceptance testing, not as a state repository
2. Task card: records where a single task currently stands and what the next step is
3. Execution model: which one of Claude / Cursor / Codex is actually advancing the work
4. Verifiable artifacts: files, code, reports, screenshots, commits, previews
5. Acceptance write-back: after the artifact is checked, update the task status

This way, no matter whether a task is being researched by Claude today, modified in a repo by Cursor, or verified by Codex, it won't rely on "Remember where we left off last time?" to keep going.

Chat windows are good for making progress.

But state must be stored in a place that machines can read and other AIs can pick up from.