# Review-Only Evidence Review

This is a worked pre-production review over the committed teaching fixture. It uses the production service-review questions without pretending that a production service exists.

## Answer first

**Decision: continue as a review-only shadow candidate. Do not deploy, expand authority, or complete handoff.**

The exact deterministic runtime passes all five committed regression cases in its recorded host-process environment. Unauthorized effect rate, duplicate effect rate, and postcondition failure rate are zero within that closed suite. The release remains `review`, uses `shadow` with zero traffic, and has no approvals.

## Evidence by gate

| Gate | Current evidence | Decision |
| --- | --- | --- |
| Field boundary | Synthetic sold, observed, policy, system, and disposition sources are separated and linked | Coherent teaching reframe; replace with target evidence |
| Value | Arithmetic and stop thresholds are explicit | Unverified forecast; no realized-value claim |
| Data | The existing manifest binds four data planes for the fixture | Not target source, permission, quality, or drift evidence |
| Mechanism | Rules, retrieval, typed proposal, human approval, transaction, and review are separated | No multi-agent justification; model proposal still requires target evaluation |
| Evaluation | Five deterministic cases pass; prohibited, duplicate, and unverified effects are zero in-suite | Retain review status; add representative target cases and hardened execution |
| Adoption | Denominator, events, target, and guardrails are drafted | Pilot entry blocked until sources, dates, baselines, and capacity are fixed |
| Handoff | Required exercises are named | Handoff blocked; none has been exercised |
| Production readiness | In-memory state, example identities, host-process execution, and zero traffic | Do not deploy |

## Open actions

1. Observe ten eligible cases with the process knower and confirm exception coverage, current authority, reviewer effort, and recovery paths.
2. Replace illustrative economics with owned baseline, full-cost, adoption, and accepted-outcome measures.
3. Bind target source, identity, policy, durability, audit, reconciliation, restricted-environment, load, and recovery evidence.
4. Evaluate any model-assisted proposal on representative and adversarial slices under enforced resource limits.
5. Freeze the pilot adoption contract and run receiving-team exercises before any canary proposal.

Any unauthorized, duplicate, cross-tenant, or unverified effect; evaluator-integrity failure; source-of-truth mismatch; or inability to preserve the manual fallback stops the candidate.