Summarize decisions rather than every turn

Long chats often contain abandoned ideas, corrected facts, and several versions of the same draft. A chronological recap can carry all that confusion into the new conversation. Ask for the latest accepted state and explicitly label anything still unresolved.

For a website project, the handoff might include the chosen brand, current framework, approved pages, known issues, and the next change. It should not treat an early brainstorming suggestion as a requirement simply because it appeared in the chat.

Use a fixed structure with source references

Include the goal, constraints, completed work, current material, open questions, and next action. Refer to exact filenames or source excerpts when relevant, but do not assume a new chat can access those files automatically.

Keep credentials and private information out of the handoff unless the task truly requires them and your environment permits it. In GPT0, the new chat sees the text you supply. A filename alone does not give the model access to a file on your computer.

Example prompt
Create a handoff for a fresh chat. Include: goal, accepted decisions, constraints, completed work, current authoritative version, unresolved questions, and one next action. Exclude abandoned ideas unless they explain a constraint. Mark uncertain facts. Do not invent missing details or claim access to files. Keep it concise enough to review.

Verify the summary before using it

Read the handoff against the latest messages and source material. Check numbers, dates, filenames, and decisions that changed during the conversation. A summary can accidentally elevate a suggestion into an agreement or omit a qualification.

Add a small excerpt of the current code or draft when exact wording matters. Do not rely on a paraphrase for requirements that must remain precise. Export the old conversation separately so you can recover context if the new chat exposes a gap.

Start with one bounded continuation

Paste the reviewed handoff into a new chat and ask for the next concrete task. For example, revise only the introduction using the approved outline, or explain the remaining error in the supplied function. This gives you an early chance to notice misunderstanding.

If the new model begins redoing completed work, correct the handoff's completed-work section and restate the next action. The technique reduces context clutter, but it does not transfer hidden memory or guarantee identical behavior across models. Keep the project state in a document you control as the work continues.

About this guide

Original examples are illustrative. This is AI-assisted content maintained for GPT0, not an independent product benchmark. Read our editorial approach.

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