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