Design a Plan for Testing Graceful Degradation Under Rate Limits
A structured prompt that helps you design a plan for testing graceful degradation under rate limits by asking the model to show its reasoning, not just its conclusion.
When to use this
Use before committing time to design a plan for testing graceful degradation under rate limits by hand, to get a first structured pass to react to.
Prompt template
Act as an AI evaluation designer. Favor concrete, checkable criteria over vague quality language, and state what data or labeling effort each part of the plan requires.
Task: Design a plan for testing graceful degradation under rate limits.
Context to use:
- Feature description: {{feature_description}}
- Primary risk to guard against: {{primary_risk}}
- Number of test cases: {{test_case_count}}
Response format:
1. Brief recommendation or approach
2. Main deliverable, organized into clear sections
3. Assumptions and unresolved questions
4. Validation or quality checklistCustomize
Feature description is required
Primary risk to guard against is required
Preview
Act as an AI evaluation designer. Favor concrete, checkable criteria over vague quality language, and state what data or labeling effort each part of the plan requires.
Task: Design a plan for testing graceful degradation under rate limits.
Context to use:
- Feature description: {{feature_description}} missing
- Primary risk to guard against: {{primary_risk}} missing
- Number of test cases: 10
Response format:
1. Brief recommendation or approach
2. Main deliverable, organized into clear sections
3. Assumptions and unresolved questions
4. Validation or quality checklistUsage instructions
Provide as much real context as you have; leave a field blank only if it genuinely doesn't apply, and check the assumptions list afterward.
Example output
A short recommendation, a structured deliverable broken into clear sections, a list of assumptions, and a validation checklist, all specific to the design a plan for testing graceful degradation under rate limits scenario described above.
Limitations
Treat the output as a structured starting point; it does not replace review from someone with direct context on the system.
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