cross-validation

To cross-validate an AI-generated plan using adversarial review, orchestrate a critique and defense process between Codex and Claude models. This iterative cycle identifies flaws and generates a structured synthesis report detailing accepted changes, rejected criticisms, and unresolved issues.

Adversarial AI review solves the problem of unvetted strategies in system architecture planning by pitting two models against each other. One model acts as a critic to identify potential flaws while the other defends its plan, ensuring a much more robust final design.

Yes, you need both the codex and claude CLIs installed and configured on your system to execute the cross-validation process. These command-line interfaces facilitate the iterative critique and defense rounds between the two AI models.

The plan validation supports up to 3 rounds of iterative critique and defense. This allows the models to thoroughly vet the plan, refine arguments, and resolve deep architectural issues before generating the final synthesis report.

The final plan validation report uses a comprehensive Markdown format. This structured report details accepted changes, rejected criticisms, and unresolved issues, providing a clear synthesis of the adversarial review process.

Yes, you can use Claude to defend a plan generated by Codex. The adversarial review process designates one AI model as the critic and the other as the defender, allowing you to cross-validate plans regardless of which model originally generated it.