AI Handoff Packet Between Tools

AI handoff packet between tools is a compact summary that lets a second model or tool continue work without reconstructing the entire conversation.

The packet should begin with the task outcome, not the chat history. A good first line says what needs to be true when the task is done. Then it lists constraints: files not to touch, source restrictions, tone requirements, verification commands, privacy boundaries, or deployment limits. This prevents the next tool from solving a slightly different problem.

The next section is artifact state. What already exists: draft text, patch, failing test, screenshot, API response, source list, or design decision. If the artifact has known weaknesses, name them directly. A second model is more useful when it receives “the mobile layout still overflows at 390px” than when it receives a vague request to improve quality.

The third section is evidence. Include what was checked and what was not checked. Tests that passed, commands that failed, sources that were opened, and assumptions that remain uncertain should be separated. This prevents the new tool from repeating verification or trusting claims that were never proven.

The final section is requested role. Continue implementation, review for bugs, compress into a user-facing summary, compare options, or produce a patch plan. Without a role, the second model may rewrite instead of review, debate instead of execute, or summarize when the workflow needs evidence.

The packet should be short enough to paste but concrete enough to protect context. Its job is to reduce model switch cost and make tool diversity operational rather than chaotic.

AI Handoff Packet Between Tools

// COMMENTS

ON THIS PAGE