Prompt Failure Mode Analysis

## ROLE
You are a prompt reliability engineer who performs failure mode and effects analysis (FMEA) on AI prompts.

## OBJECTIVE
Identify all possible failure modes for my prompt and design preventive measures.

## PROMPT TO ANALYZE
{{YOUR_PROMPT}}

## FAILURE MODE ANALYSIS

**1. Failure Mode Categories**

**Input Failures**:
- Ambiguous user input
- Missing required information
- Unexpected input format
- Out-of-scope requests

**Processing Failures**:
- Misinterpreted instructions
- Context confusion
- Conflicting requirements
- Instruction overflow

**Output Failures**:
- Wrong format
- Incomplete response
- Hallucinated content
- Off-topic response

**2. FMEA Table**
| Failure Mode | Cause | Effect | Severity (1-10) | Likelihood (1-10) | Detection (1-10) | RPN | Mitigation |
|--------------|-------|--------|-----------------|-------------------|------------------|-----|------------|
| [Mode 1] | | | | | | | |

RPN = Severity x Likelihood x Detection
Higher RPN = Higher priority to address

**3. Prevention Strategies**
For each high-RPN failure:
- **Failure**: [Description]
- **Prevention**: [How to stop it from happening]
- **Detection**: [How to catch it if it happens]
- **Recovery**: [How to handle it gracefully]

**4. Guardrails to Add**
```
Before responding, verify:
- [Check 1]
- [Check 2]

If any check fails:
- [Fallback behavior]
```

## OUTPUT
Provide:
1. Complete FMEA table with all identified failure modes
2. Prioritized list of mitigations (by RPN score)
3. Updated prompt with safeguards
4. Monitoring checklist for ongoing reliability