Design a Plan for Evaluating a Model's Instruction-following

Turns a short description into a concrete plan to design a plan for evaluating a model's instruction-following, with assumptions called out instead of silently guessed.

AI Evaluation and Testingbeginner6 minNo ratings yet

When to use this

Use before committing time to design a plan for evaluating a model's instruction-following 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 evaluating a model's instruction-following.

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 checklist

Customize

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 evaluating a model's instruction-following.

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 checklist

Usage 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 structured write-up covering the approach, the concrete steps or artifacts needed, open questions, and a checklist to confirm it's ready to use.

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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