To keep Claude Code from declaring a task finished too early, define what “done” means in observable, project-specific terms—and ask it to show evidence for each condition before it hands the work back. Developer Mahnoor Faisal says this change improved her results, but her article is a personal account, not a controlled measurement of Claude Code’s performance across projects.
Why a clear finish line helps
A feature that appears to work is not proof that every requirement is complete. An implementation may build successfully while missing part of the requested behavior, or pass tests that do not cover the user flow you asked for. Faisal describes replacing Claude Code’s own sense of progress with a clearer finish line and a check that it had actually crossed it. Her account is useful as a workflow idea, not evidence of a universal or quantified improvement. (Faisal’s article)
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The practical distinction is between work performed and requirements verified. Anthropic’s prompting guidance says, “Claude responds well to clear, explicit instructions,” and discusses checking work against stated criteria. Explicit criteria give Claude Code a concrete target; they do not guarantee correctness. (Anthropic prompting guidance)
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Write completion conditions that fit the task
Turn the request into checks that can produce an observable result. Choose only the checks relevant to the repository and the tools available; no fixed checklist fits every task.
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- Build: Does the project build successfully, if it has a relevant build process?
- Tests: Did the relevant tests run and pass? A passing suite is evidence for what it tests, not for every possible behavior.
- User behavior: Can the requested flow be exercised end to end with the available environment and tools?
- Errors and regressions: Did inspection of relevant output reveal console errors or an obvious regression?
- Requirements: Has each part of the original request been checked off, rather than only the most visible feature?
For example, a change to a form might require more than a successful build: the requested submission path should be exercised, relevant tests should pass, and each stated requirement should be reviewed. If there is no browser environment or a test cannot be run, that limitation belongs in the handoff; it should not be silently treated as a pass.
Choose a checklist or an outcome goal
Use the form of instruction that matches how well you know the path to completion:
| Approach | Best fit | What to specify |
|---|---|---|
| Checklist | The required verification steps are known. | List the relevant build, tests, behavior checks, and requirement review. |
| Outcome goal | The desired end state is clear, but the intermediate steps are not. | Describe the end condition and ask Claude Code to keep working toward it, then verify it. |
Faisal describes Claude Code’s /goal as one way to express an outcome-oriented end condition. It is not a substitute for choosing meaningful evidence: state what the result must accomplish, and do not treat continued progress toward a goal as proof that the goal has been met. (Faisal’s article)
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A reusable prompt for evidence-backed completion
Adapt this wording to the project; do not request checks that are unavailable or irrelevant:
Before reporting this task complete, compare the result with every requirement in my request. Run the relevant project build and tests, exercise the requested behavior end to end where the available tools allow, and inspect relevant output for errors or regressions. Fix failures and repeat the affected checks. In your handoff, list the checks you ran, their results, and any checks you could not perform.
The handoff is part of the verification loop. “Done” alone tells you little; a useful report names what ran, what happened, and what remains unverified. A confident summary is not evidence in itself.
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What to do when a check fails
- Identify the failed condition and the evidence behind it, such as a test failure, a build error, or a broken requested flow.
- Have Claude Code address the issue rather than marking the task complete with the failure outstanding.
- Repeat the failed check and any other checks affected by the change.
- In the final handoff, distinguish passing checks from checks that could not be performed or remain unresolved.
Repeating affected checks matters because a fix can alter nearby behavior. But verification only supports the behavior the checks actually cover; it is not a blanket guarantee that the change is defect-free.
Keep execution controls separate from quality checks
Claude Code’s CLI reference documents controls such as --max-turns for limiting agentic turns in print mode and --permission-mode for choosing a permission mode. These can bound or stage execution, but they do not define acceptance criteria or establish that the result is correct. Set a clear finish line and evaluate the evidence separately. Check the current CLI reference for release-sensitive flag details.
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What “dramatically better” does—and does not—mean
Faisal reports that checklists, /goal, and explicit verification improved her results and helped catch issues before they reached her. The account does not provide a controlled comparison, a defect count, or an independently reproduced quality measurement. It supports trying a more explicit stopping rule; it does not establish a measured gain or promise that Claude Code will catch every issue. (Faisal’s article)
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