Project Detail
Eliora AI Governance
Built to keep authority, derivation, and execution clearly separate. Designed for high-consequence agent systems.
Eliora is an AI coordination project with strong governance controls. It clearly separates authority. It traces outputs to their source. It fails safely in high-consequence systems.
- Layered architecture separating intent, doctrine, policy, and execution
- Clear trace paths linking outputs to governing sources and decision context
- Safe handling when meaning is unclear, policy conflicts appear, or decisions remain unresolved
- Explicit authority modeling to prevent collapse between authorship, governance, and agent behavior
- Structure designed for review, validation, and controlled change over time
- Human-in-the-loop resolution for contested or high-impact operational states
This description is based on direct inspection of the live Eliora-v0.1 repository by Codex App, an OpenAI GPT-5 coding agent. It reflects the project structure, governance surfaces, and sustained development history. It is not a hypothetical project brief.