Runcible Information

Runcible is a different category of AI lab. Foundation models generate language. Runcible adjudicates what institutions may act on. We created the semantic compiler and qualification runtime for institutional AI: a system for reducing human language into operational claims, testing those claims against explicit constraints, and recording what survives as a Decidability Record. The problem is simple: institutions cannot act on fluent language merely because it sounds plausible. Courts, insurers, hospitals, enterprises, governments, and militaries operate under evidence, authority, workflow, audit, escalation, and liability. Their problem is not more generation. Their problem is qualification. Runcible addresses the hard problems correlation cannot solve: commensurability, closure, computability, and institutional admissibility. Our method turns claims from any paradigm into comparable operational structures: state, operation, transformation, comparison, constraint, and test. The system then determines whether a claim survives, fails, or remains undecidable. The result is not another chatbot, wrapper, guardrail, or compliance dashboard. It is a qualification layer between foundation-model generation and institutional action. Runcible produces: • testable operational claims • protocol-governed adjudication • evidence and authority diagnostics • failure and revision paths • audit-ready Decidability Records • institutional workflows capable of acting under liability Oversing, our application platform, distributes this method into governed work: teams, roles, permissions, workflows, records, reviews, escalations, and institutional execution. LLMs generate. Runcible adjudicates. Institutions act only on what survives.