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Goal: Quantitatively verify that both you and the AI are ready for implementation.

The Confidence Prompt

Ask the AI for a quantitative confidence score (0-100%) and a list of remaining ambiguities.

Example Prompt

What You’re Looking For

  • 90-100%: Ready to proceed
  • ⚠️ 70-89%: Specific gaps identified, address them
  • Below 70%: Not ready, more exploration needed

Closing the Loop

Use the AI to review its own plan to surface edge cases or missing error handling that you might have overlooked.

Self-Review Prompts

Edge Case Discovery
Error Handling Check
Integration Points
Performance Considerations

The 90-95% Rule

Guidelines for iterating on the plan until a high confidence score is reached.

Iteration Process

  1. Ask for confidence score → Note areas below 95%
  2. Address each gap → Discuss, decide, document
  3. Re-check confidence → Score should increase
  4. Repeat until 90-95% → Ready for implementation

When to Stop Iterating

You’ve reached the point of diminishing returns when:
  • Confidence is consistently 90-95%
  • No new ambiguities are being surfaced
  • Further discussion is speculative, not actionable
  • You have a clear implementation plan
Important: 100% confidence is a red flag—it means you or the AI is overconfident. 90-95% is the sweet spot.

Total Sync Checklist

Before moving to implementation, verify:
  • AI has read all relevant files
  • Architecture is clearly understood
  • Dependencies are identified
  • Edge cases are documented
  • Error handling strategy is defined
  • Testing approach is clear
  • Naming conventions are agreed upon
  • Confidence score is 90-95%
  • No major ambiguities remain
If any item is unchecked: Go back to Bootstrapping or Idea Shaping.
Key Principle: The Rehearsal is complete when both human and AI have 90-95% confidence. Not before. Not at 100%.