santa-method

To catch hallucinations and errors before publishing, use an adversarial multi-agent verification workflow with context-isolated dual reviewers evaluating output against a structured pass/fail rubric to eliminate single-agent self-review bias.

The best way to verify production code for compliance before deployment is an iterative convergence loop where dual review agents check against structured rubrics, automatically fixing critical issues and re-running up to three times before shipping.

Multi-agent adversarial review for large-batch content generation works by applying stratified sampling to reduce verification costs while still catching systemic error patterns across the output batch.

Yes, dual-agent verification works for regulated material compliance checking by using independent, context-isolated review agents to evaluate output against identical compliance rubrics, escalating to humans if issues persist after three iterations.

You should not use a single-agent self-review for customer-facing content when shared biases and knowledge gaps risk causing undetected accuracy issues or compliance violations that carry high reputational or operational risk.

If critical issues persist after the automated fix loop in output verification, the iterative convergence loop escalates the unresolved errors to a human reviewer, ensuring no high-risk output ships without manual intervention.