santa-method

Dual-review verification uses two independent reviewers evaluating the same output against a shared rubric to produce PASS/FAIL verdicts. A convergence loop iterates fixes and re-evaluations up to a fixed maximum, ensuring systematic issues are addressed before shipping.

Automate risk mitigation by running a dual-review verification loop after AI generation. The process applies independent reviewers and a shared rubric to high-stakes content, code generation, or publication workflows where accuracy and compliance are critical.

A convergence loop in AI verification iterates fixes and re-evaluations until both independent reviewers pass the output. It is needed for high-stakes documentation, code generation, and customer-facing content where accuracy and compliance matter.

Yes, the Santa Method dual-review process works for code generation workflows. It applies independent reviewers and a shared rubric to evaluate generated code, using a convergence loop to ensure both reviewers pass the output before shipping.

The fixed iteration cap guarantees convergence by limiting the number of fix and re-evaluation cycles. This prevents infinite loops but means outputs that fail both reviewers after the maximum iterations are not shipped, requiring manual intervention.