Write a Clear Task Contract for an AI Coding Agent
Turn a feature request into a task contract for developers in ChatGPT: scope, files to inspect, acceptance checks, validation commands and open questions.
Make it yours
Fill in the inputs. Your prompt updates as you type.
Your prompt
Turn a feature request into an implementation contract for a coding assistant.
Feature request: {{feature}}
Repository context: {{repository context}}
Constraints: {{constraints}}
Expected user behavior: {{acceptance behavior}}
Produce: objective, in-scope changes, files to inspect, unresolved questions, acceptance checks, validation commands and a rollback approach. Define observable before-and-after behavior. Do not invent file names, dependencies, credentials or test commands absent from the supplied context; mark them as inspect-first. Require the agent to preserve unrelated changes, avoid printing secrets and report actual checks performed. Ask only questions that block meaningful progress.4 inputs still blank. Empty inputs stay as placeholders when copied.
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Example result
Illustrative example; not tested on the listed platform. Example inputs are included in the response.
How to use this prompt
- 1Replace the input fields with your own context.
- 2Paste the personalized prompt into a compatible assistant.
- 3Check the output against your facts and refine one instruction at a time.
Tips & limitations
The example is an editorial illustration, not a claim of platform-specific testing. Results depend on your inputs and model. Review factual claims before publishing or acting. Compatible platforms were selected from provider documentation; the example has not been re-tested on every platform. Features may require the relevant generation mode or account plan. Quality check: A happy-path check alone is insufficient; verify removed records and failed requests.
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Illustrative example · 2026-10-07
Illustrative source inputs and reference outputs, not a recorded model benchmark. The example is an editorial illustration, not a claim of platform-specific testing. Results depend on your inputs and model. Review factual claims before publishing or acting. Compatible platforms were selected from provider documentation; the example has not been re-tested on every platform. Features may require the relevant generation mode or account plan. Quality check: A happy-path check alone is insufficient; verify removed records and failed requests.