# Consensus Scoring

> A structured method for quantifying the degree of agreement and disagreement across multiple AI agents after they independently analyze the same decision.

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## Definition

A structured method for quantifying the degree of agreement and disagreement across multiple AI agents after they independently analyze the same decision. Rather than forcing agents to a single answer, consensus scoring maps clusters of agreement, points of genuine conflict, and the confidence levels behind each stance. High consensus with high confidence is a strong signal. Low consensus with high confidence indicates a genuine strategic fork that needs empirical validation.

## Related

- [How consensus scoring works](https://www.synthboard.ai/blog/consensus-scoring-how-ai-finds-agreement)


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