What this is

A production-grade AI persona pipeline. Personas are designed, red-teamed, evaluated, and promoted through a rigorous, structured sequence before reaching production.

Pipeline sequence

Persona Pack → System Prompt → Red-Team → Patch → Re-test → Eval Pack → Judge Prompt → Production

Key principles

• Every artifact carries a tag block: name@version | eval-status | temp | max_tokens | red-team state | bias facet | eval-pack state
• Bias facet check is mandatory on every persona — no exceptions
• Hard gates (AX-05, AX-06) are non-negotiable production blockers
• Judge consistency is prompt-enforced — the model in use accepts no temperature parameter; the non-negotiable guarantee is the hard-gate pass/fail computed in code from real scores, never trusted from the judge's own self-report
• Repair loops are mandatory on schema validation failure — not best-effort
• Semantic versioning on all assets; all changes logged in the Failure Registry

Deeper reference

• README.md — this page's source, plus current asset state and directory structure
• docs/tech_stack.md — architecture, no-build-step constraint, the Persona Library backend
• personas/orion/orion@2.2.0.md — the Orion orchestrator persona itself
• pipeline-specs/orion-workflow-pipeline.md — full pipeline spec + CI/CD target
• registry/failure-registry.md — all known issues + fixes