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LLM Evaluation Framework

Pro

Design evaluation suites with test cases, grading rubrics, and metrics for AI systems

TestingEvaluation

About the LLM Evaluation Framework Prompt Template

This ai & automation template assigns the AI the role of an AI quality engineer specializing in LLM evaluation, benchmarking, and automated testing, so the prompt it builds is framed by genuine subject-matter expertise rather than a generic request.

What it does: Design a comprehensive evaluation framework for your system name focused on your evaluation type. Use your grading method grading across the specified test case categories and metrics. Produce a complete test suite with rubrics, scoring methodology, and reporting templates.

You fill in 7 fields (5 required, 2 optional), and SurePrompts assembles a complete, structured prompt you can paste straight into ChatGPT, Claude, or Gemini.

Generate AI prompts, model configurations, and AI-related content.

How to Use This Template

  1. 1

    Fill in System/Model Name

    e.g., Customer support chatbot, Code review assistant

  2. 2

    Fill in Evaluation Focus

    Enter the evaluation focus for your prompt.

  3. 3

    Fill in Test Case Categories

    List categories of test cases, e.g.: - Happy path queries - Edge cases and ambiguous inputs - Adversarial prompts - Multi-turn conversations

  4. 4

    Fill in Grading Method

    Enter the grading method for your prompt.

  5. 5

    Fill in Evaluation Metrics

    Enter the evaluation metrics for your prompt.

  6. 6

    Fill in Comparison Scope

    Enter the comparison scope for your prompt.

  7. 7

    Fill in Output Format

    Enter the output format for your prompt.

  8. 8

    Copy your prompt

    Click the copy button to copy your generated prompt, then paste it into your preferred AI tool.

Template Fields

Every field below maps to a part of the finished LLM Evaluation Framework prompt. Required fields shape the core request; optional fields add detail and control.

System/Model NametextRequired

A required input that takes a short line of text.

Example: e.g., Customer support chatbot, Code review assistant

Evaluation FocusselectRequired

A required input that takes one option from a list. Choose from 5 preset choices.

Available choices:

Accuracy/correctnessSafety/alignmentLatency/performanceCost efficiencyEnd-to-end quality
Test Case CategoriesmultilineRequired

A required input that takes a longer, multi-line value.

Example: List categories of test cases, e.g.: - Happy path queries - Edge cases and ambiguous inputs - Adversarial prompts - Multi-turn conversations

Grading MethodselectRequired

A required input that takes one option from a list. Choose from 4 preset choices.

Available choices:

LLM-as-judgeHuman evaluationAutomated metricsHybrid
Evaluation MetricsmultiselectRequired

A required input that takes one or more options from a list. Choose from 8 preset choices.

Available choices:

AccuracyHallucination rateRelevanceCoherenceLatency p50/p99Cost per querySafety pass rateUser satisfaction
Comparison Scopeselect

An optional input that takes one option from a list. Choose from 4 preset choices.

Available choices:

Single model baselineA/B model comparisonMulti-model benchmarkPre/post deployment
Output Formatselect

An optional input that takes one option from a list. Choose from 4 preset choices.

Available choices:

Evaluation reportScoring rubricTest suiteDashboard spec
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