When AI models disagree, it’s not noise—it’s a signal that helps catch errors...

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When AI models disagree, it’s not noise—it’s a signal that helps catch errors before they slip through. This approach can reduce silent hallucinations in high-stakes projects, making outputs more reliable and easier to audit