Governance Principles
Six principles that guide the design and operation of this AI orchestration system.
Speed without governance creates rework and false confidence. Every AI-assisted output passes through a review gate before it counts as truth.
Robert KB and Git are the only places truth lives. UI surfaces, chat history, and AI memory are temporary — only what is committed counts.
AI tools change every quarter. The principles for using them — review gates, source of truth, scoped roles — must outlast any specific tool or vendor.
Internal complexity stays internal. External views show only what's audience-appropriate. The line between the two is intentional, not accidental.
This system shows how AI work can be governed. It does not claim to be production-ready, autonomous, or live-deployed. Operating reality is labeled honestly.
Designed for one person to run before scaling. Complexity that cannot be maintained by the operator becomes liability, not leverage.
“AI orchestration is program management. Tools change. Governance discipline doesn't.”
These principles are not aspirational — they reflect the actual design decisions embedded in this system. They will evolve as the system matures, but the commitment to governance-first thinking remains constant.