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How AI consensus works

How DECYD compares multiple model responses and why we describe agreement as 'X of Y models agree' rather than a vague confidence score.

Multiple models side by sideAgreement phrased as X of YDisagreement stays visible

What DECYD actually does

DECYD runs your question across multiple AI models and helps you compare where they aligned, where they diverged, and what tradeoffs matter.

The product is designed to make disagreement visible, not hide it behind one synthetic certainty number.

How agreement is explained

When we describe consensus, we use plain language like '4 of 5 models agree' instead of raw percentage claims that feel more precise than they really are.

That phrasing keeps the system readable for non-technical users and avoids pretending AI output is a statistical guarantee.

What consensus does not mean

Consensus is a useful signal, not proof of truth. You should still apply judgment, especially on legal, financial, medical, or safety-critical decisions.

DECYD is decision support, not a substitute for human accountability.

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