CAM Protocol turns AI output into structured, reviewable artifacts—built for verification, traceability, and jurisdiction-aware deployment.
Models draft in seconds. Institutions still need to know:
Generate structured artifacts aligned to policy and approval workflows.
Constraints applied during production — review happens earlier, not after.
Artifacts logged, replayed, and governed where auditability is required.
Protocol infrastructure, knowledge stewardship, and diff-native publishing.
Governed output infrastructure for verification, auditability, and reproducible rendering.
A community-first initiative focused on knowledge stewardship, consent, provenance, and respectful representation—especially where traditional knowledge requires governance, not extraction.
Diff-native publishing infrastructure for multi-artifact outputs: versioning, provenance, editorial governance, and durable change history—built for the era where both humans and AI systems read your work.
No. ZiiBii builds protocol infrastructure around model output. CAM Protocol is designed to work across model providers and deployment environments.
No. CAM Protocol does not claim perfect correctness. It is designed to support verification, traceability, and reproducible rendering so outputs can be reviewed and governed.
A reviewable representation of an output designed for governance: constraints, provenance, audit trails, and reproducible rendering—rather than a single opaque text block.
No. CAM Protocol is designed to apply constraints during production so governance happens earlier—before deployment and sign-off.
High-stakes or regulated environment? Governance blocking adoption? Let's talk.