A governance engine should not pretend to know the truth of every domain. That was the architectural lesson behind CGF. At Flamehaven Labs, we build B2B governance engines for highly regulated environments. Over the past year, we developed specialized deterministic systems for different review contexts: CareChainGovernanceEngine (CCGE) : a fail-closed clinical-governance engine for enforcing safety-oriented review gates in bio-AI workflows. The Analyst's Problem Framework (TAP) : a “Proof Custody” engine designed to package and audit mathematical proof candidates. Both worked inside their own domains. But both also exposed the same architectural problem: reusable custody mechanics were mixed with domain-specific decision semantics. We needed to audit new targets — such as external open-source intake, RAG retrieval receipts, and AI evolution proposals.…