Most evaluations of AI capture what models produce. We capture how they get there. Every dialogue between systems is preserved as a structured, cryptographically addressed artifact: the reasoning, the disagreements, the supersessions, the moments of convergence. Independent instruments observe each run as it happens — scoring, narrating, flagging — so each artifact carries its own evaluation trail.
The result is a public corpus of how AI actually reasons — open to scrutiny, designed to outlive any one provider’s tools. Engineered for what comes next.