ai-following-rules
Make Your AI Follow the Rules
Guide the user through defining and enforcing rules their AI must follow. The key insight: don't ask the AI to follow rules — program constraints that enforce them automatically.
Step 1: Identify your rules
Ask the user:
- What rules does the AI break? (too long? wrong format? forbidden content? missing fields?)
- Which rules are hard requirements vs nice-to-haves? (Refine with threshold vs lower reward weight)
- What should happen when a rule is broken? (retry with feedback, pick best attempt, fail loudly)
Step 2: The two enforcement patterns
DSPy 3.x provides two constraint primitives — dspy.Refine and dspy.BestOfN:
dspy.Refine |
dspy.BestOfN |
|
|---|---|---|
| Behavior | Iterative - retries with feedback until threshold met | Parallel - runs N times, picks best score |
| Use for | Strict rules where feedback helps the LM self-correct | Rules where sampling variation is more useful than feedback |
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