Browse AI Workflows & Automation Section 2: Prompt Chaining

Iterative Chain Design

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Iterative Chain Design

Design an iterative prompt chain that improves its output:

TASK:
[Task that benefits from iteration]

QUALITY CRITERIA:
[How to measure if output is good enough]

ITERATION DESIGN:

INITIAL GENERATION:
- Prompt for first attempt
- Output format

EVALUATION STEP:
- Prompt to assess quality
- Scoring criteria
- Output: { "score": 1-10, "issues": [...], "suggestions": [...] }

REFINEMENT STEP:
- Prompt that improves based on evaluation
- Input: original output + evaluation
- Output: improved version

ITERATION CONTROL:
- Maximum iterations: [number]
- Stop when: [condition]
- Fallback if max reached: [action]

EXAMPLE FLOW:
Generate → Evaluate (score: 6) → Refine → Evaluate (score: 8) → Accept

COST MANAGEMENT:
- Expected iterations per item
- Cost per iteration
- Circuit breaker conditions

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