Adversarial Prompt Design Review Framework
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Prompt
Act as a senior prompt architect and adversarial systems designer.
Your task is not to improve my prompt immediately.
Instead, critically evaluate it as if you were preparing it for production use.
I want you to identify structural weaknesses, hidden assumptions, failure modes, and opportunities for improvement before proposing changes.
Analyze the prompt using the following process:
1. Hidden Assumptions
- Identify all significant assumptions embedded in the prompt.
- Classify each assumption as:
- Valid
- Questionable
- Invalid
- Explain why.
2. Failure Mode Analysis
Identify where the prompt may fail in practice, including:
- premature consensus
- shallow disagreement
- persona convergence
- hallucinated expertise
- unsupported confidence
- missing context
- weak challenge mechanisms
- any additional failure modes you detect
3. Executive Critique
Explain:
- what is vague
- what is ambiguous
- what is underspecified
- what instructions are missing
- what mechanisms are redundant
- what sections create the most leverage
4. Stress Test The Design
Assume the prompt is used repeatedly on complex business, strategy, hiring, investment, and operational decisions.
Explain:
- where it will break
- where outputs may become repetitive
- where reasoning quality may degrade
- where false certainty may emerge
5. Improvement Recommendations
Divide recommendations into:
A. Essential Additions
Changes that materially improve output quality.
B. High-Leverage Improvements
Changes that significantly improve behavior while adding minimal complexity.
C. Optional Enhancements
Useful additions that are not required.
For every recommendation:
- explain why it matters
- explain which failure mode it solves
- estimate its impact on output quality
6. Prompt Bloat Review
Critically evaluate whether each proposed improvement justifies its additional complexity.
Apply the principle:
"Maximum behavioral improvement for minimum prompt expansion."
Recommend what should be:
- added
- merged
- simplified
- removed
7. Produce A Refined Version
Generate a revised version of the prompt that:
- preserves the original intent
- improves reasoning quality
- minimizes prompt bloat
- increases adversarial rigor
- improves persona diversity
- reduces premature convergence
8. Final Meta Review
Review your own revised version.
Explain:
- what weaknesses still remain
- what tradeoffs were made
- what future improvements could be tested
Additional Requirements:
- Challenge my assumptions.
- Do not automatically agree with my design decisions.
- Prioritize decision quality over prompt complexity.
- Explain the reasoning behind every significant recommendation.
- If a rule adds little value relative to its complexity, say so.
- Focus on mechanisms that change model behavior rather than cosmetic improvements.
Prompt to review:
[[PASTE PROMPT HERE]]
Your task is not to improve my prompt immediately.
Instead, critically evaluate it as if you were preparing it for production use.
I want you to identify structural weaknesses, hidden assumptions, failure modes, and opportunities for improvement before proposing changes.
Analyze the prompt using the following process:
1. Hidden Assumptions
- Identify all significant assumptions embedded in the prompt.
- Classify each assumption as:
- Valid
- Questionable
- Invalid
- Explain why.
2. Failure Mode Analysis
Identify where the prompt may fail in practice, including:
- premature consensus
- shallow disagreement
- persona convergence
- hallucinated expertise
- unsupported confidence
- missing context
- weak challenge mechanisms
- any additional failure modes you detect
3. Executive Critique
Explain:
- what is vague
- what is ambiguous
- what is underspecified
- what instructions are missing
- what mechanisms are redundant
- what sections create the most leverage
4. Stress Test The Design
Assume the prompt is used repeatedly on complex business, strategy, hiring, investment, and operational decisions.
Explain:
- where it will break
- where outputs may become repetitive
- where reasoning quality may degrade
- where false certainty may emerge
5. Improvement Recommendations
Divide recommendations into:
A. Essential Additions
Changes that materially improve output quality.
B. High-Leverage Improvements
Changes that significantly improve behavior while adding minimal complexity.
C. Optional Enhancements
Useful additions that are not required.
For every recommendation:
- explain why it matters
- explain which failure mode it solves
- estimate its impact on output quality
6. Prompt Bloat Review
Critically evaluate whether each proposed improvement justifies its additional complexity.
Apply the principle:
"Maximum behavioral improvement for minimum prompt expansion."
Recommend what should be:
- added
- merged
- simplified
- removed
7. Produce A Refined Version
Generate a revised version of the prompt that:
- preserves the original intent
- improves reasoning quality
- minimizes prompt bloat
- increases adversarial rigor
- improves persona diversity
- reduces premature convergence
8. Final Meta Review
Review your own revised version.
Explain:
- what weaknesses still remain
- what tradeoffs were made
- what future improvements could be tested
Additional Requirements:
- Challenge my assumptions.
- Do not automatically agree with my design decisions.
- Prioritize decision quality over prompt complexity.
- Explain the reasoning behind every significant recommendation.
- If a rule adds little value relative to its complexity, say so.
- Focus on mechanisms that change model behavior rather than cosmetic improvements.
Prompt to review:
[[PASTE PROMPT HERE]]
Model Settings
Temperature
0.7
Max Tokens
2000