## Verdict
**ITERATE**

The direct-provider, recovery, privacy, and attribution design is now largely actionable, but execution should not start yet. The accepted Korean grammar is operationally the finite local variant selector the plan says it is replacing, two allow-listed leads introduce unanchored evidential claims, the required legacy-key rejection would disable the currently enabled physique check-in unless the live profile configuration is migrated, and the release/test commands omit load-bearing profile and adaptive-version coverage.

## Claim Checks

- **Plan identity verified.** The assigned plan was read in full. Its sibling `index.jsonl` records revision stage 7 with SHA-256 `559432ea369ba0b40759868a522adbd78a68291220486a2090d08fae7b6f64db`, matching the assignment.
- **Referenced roots and source seams verified.** The Hermes files `gateway/platforms/{telegram,physique_checkin_config,physique_checkin,nutrition_coaching}.py`, all named existing gateway tests, and `pyproject.toml` exist under `/home/cube/projects/richard/hermes-agent`. Both profile copies of `checkin_cli/{customer_schedule,adaptive_nutrition,__init__}.py` and both `tests/{test_adaptive_nutrition,test_customer_schedule}.py` exist. The guide and pinned runbook exist. The two proposed Korean-expression tests/module do not yet exist, as expected.
- **Daily surface verified.** `telegram.py:5629-6113` currently admits arbitrary post-save feedback into `_nutrition_daily_text` and replay, and `physique_checkin_config.py:8-50` owns `coaching_feedback_enabled`. The bridge currently loads a finalized session and can return `finalized_event_id` with the snapshot in one load, so the proposed atomic artifact accessor is implementable.
- **Weekly surface and recovery verified.** `_send_nutrition_coaching_tick` renders weekly text before digest/reservation; a current `prepared` row is not short-circuited. `ScheduledDeliveryReceipt` omits body/destination while the validated ledger row stores both. The proposed receipt-only, lock-held `load_prepared_customer_task_delivery` API in both profile copies is a narrow source-compatible fix; the existing `prepared -> sending` authority transition can then send the pinned body without another expression request.
- **Both adaptive variants verified.** Hermes currently imports the physique-coach profile. Its renderer has structured `결정`/`근거` lines and the exact approval status; dualcoachtest has `현재 판단`, optional `검토 필요`, optional `상세 근거`, and the final not-delivered line. Fresh card payloads are pinned by `mark_publish_pending`, and recovery republishes that payload, so the proposed fresh-card-only insertion boundary and pass-through recovery are correct. The new physique gateway-only instruction is presentation text and need not mutate proposal/delivery state.
- **Provider at-most-once handling is actionable.** The exact `openai-direct`/Chat Completions/base URL/model tuple, sole `OPENAI_API_KEY` authority, `max_retries=0`, one non-streaming call, request cap, SDK timeout, four-second owner deadline, durable pre-call claim, in-flight no-publication result, stale-claim canonical terminal, and conditional late-result discard form a coherent one-wire state machine. Hermes pins `openai==2.24.0` as claimed. No auxiliary/Kimi path is needed.
- **Recovery and privacy are directionally complete.** Weekly/adaptive selected bytes are committed through their existing durable body owners before metadata finalization; restart reuses those bytes. Daily deliberately has no selected replay store and becomes canonical-only after an interrupted attempt. The HMAC artifact key, metadata-only journal, no-content telemetry, strict credential policy, and no prompt/response persistence meet the stated privacy boundary without adding encryption.
- **Attribution verified.** Both immutable GitHub commits resolve. Their pinned `LICENSE` files are MIT. Because the plan expressly copies no upstream code, prompt, rule, workflow, or artifact, links plus an accurate high-level-consultation/non-copy statement are a coherent attribution choice; omitting the full MIT notice is not contradictory.

### Representative implementation simulations

1. **Daily disabled deployment fails today.** Both `/home/cube/.hermes/profiles/physique-coach/config.yaml:623-635` and `/home/cube/.hermes/profiles/dualcoachtest/config.yaml:624-636` still contain `coaching_feedback_enabled: true`; physique-coach has `physique_checkin.enabled: true`. Implementing “reject a supplied legacy key” without a planned configuration migration makes `PhysiqueCheckinConfig.from_extra` return `None`, disabling the entire currently enabled check-in rather than leaving the new postprocessor disabled with canonical output.
2. **Generated grammar does not satisfy the stated product boundary.** For fixed anchors, `DAILY`, `RATIONALE`, each `REVIEW`, and `INSTRUCTION` have only four rendered forms (one of four `LEAD`s); a two-anchor weekly `LIST` has eight (four leads times two joins); `JUDGMENT` again has four. Thus every accepted output can be enumerated locally. The LLM is selecting a tiny finite variant implicitly through `generated_ko`, contradicting the goal and acceptance gate that require a real non-finite-local-variant composition. The custom direct client, claim journal, HMAC key, and race handling are disproportionate if the observable feature is only this small connective table.
3. **Semantic-lock proof is false for some accepted strings.** `확인 결과,` asserts that checking occurred, and `기록상,` attributes the statement to records. Those meanings are not anchors. In particular, `확인 결과, [[A:01]].` applied to the new physique review instruction adds an unsupported completed-verification premise to a code-owned instruction. Therefore “no unanchored proposition can enter” is not true under the current grammar even though facts, values, status, and actions remain locked.

## Missing Evidence

Definitely missing:

1. A grammar/product decision that is both materially model-authored and deterministically semantics-preserving. The current accepted language is a tiny enumerable variant set.
2. Role-scoped authorization for evidential/discourse leads, or anchors for their meaning; current global `LEAD` is not semantically neutral on every slot.
3. A deployment/configuration migration for the existing `coaching_feedback_enabled` keys, with proof that default-disabled postprocessing leaves the enabled physique check-in available and canonical.
4. Real-model proof for **both** adaptive schema versions. The plan calls only three daily/weekly/adaptive manifests even though dualcoachtest and physique use different grammars and are enabled under the same `adaptive_operator` surface flag.
5. Commands that run the new prepared-material API tests in both profile `tests/test_customer_schedule.py` files. The listed profile commands run only `test_adaptive_nutrition.py`.
6. A fixed shadow observation window/sample threshold and explicit per-version promotion rule. One `shadow_selected` per surface with an undefined “release observation” does not measure a nondeterministic provider reliably.
7. A minimal exact journal encoding contract for the still-listed `state` field, legal state/outcome transitions, first `previous_row_digest`, timestamp syntax, and whether `row_digest` hashes the row with that field omitted. The plan freezes the field set and canonical JSON generally but still leaves these durable bytes to implementation choice.

Possibly unclear: where the documentation-link assertion lives and which command runs it; exact weekly eligibility when an explicit interpretation/rationale does not match the assumed one-sentence terminal-period shape; and whether a prepared-row read failure is best-effort terminalized when the ledger itself is too corrupt to append `unknown`.

## Approval Boundary

The following design constraints are approved for the next revision: canonical-first rendering; exact locked reconstruction; separate adapters for both adaptive schemas; direct OpenAI only with one durable claim and no retry/fallback; candidate commit through existing weekly/adaptive durable owners; canonical-only daily recovery; the narrow prepared-delivery reader; metadata-only privacy; default-disabled per-surface rollout; and the pinned non-copy attribution.

Do not begin product-source execution from this plan. Grammar/output semantics, current-profile migration, four-case live proof, profile schedule-test commands, and measurable rollout gates must be revised first. Read-only golden capture and fixture mapping may proceed.

## Summary

- **Clarity:** Strong source mapping and provider/recovery detail; central output semantics and journal bytes still contain contradictions or gaps.
- **Verifiability:** Broad attack/race coverage; misses both adaptive live grammars, profile schedule-test commands, and a named documentation assertion command.
- **Completeness:** All requested runtime seams are identified, but current configuration migration and exact release observation are absent.
- **Big Picture:** Correct presentation-only/fail-closed architecture, but a custom provider/journal subsystem is overengineering for the currently tiny finite output language.
- **Principle/Option Consistency:** Direct-only, privacy, recovery, and attribution are consistent. “Real LLM, not finite local variant” and “no unanchored proposition” are contradicted by Grammar v1.
- **Alternatives Depth:** Insufficient comparison between the current four/eight-form language and a trivial local renderer; no concrete safe option for genuinely model-authored Korean is selected.
- **Risk/Verification Rigor:** One-attempt and crash/race reasoning are strong. Deployment continuity and stochastic live success criteria are not yet rigorous.

## Required Changes

1. Replace the four-lead/two-join pseudo-generator with a genuinely compositional, reviewed Korean surface grammar that gives the model meaningful expression work while keeping every proposition/value/action/status in anchors. Include exact accepted vectors for daily, weekly, dual adaptive, and physique adaptive. If that cannot be made deterministically safe, explicitly choose the local finite renderer and revise the product goal instead of paying for an LLM and durable claim journal.
2. Make discourse/evidential language role-specific. Remove `확인 결과` and `기록상` from slots whose code-owned semantics do not authorize checking/record provenance, or represent those meanings as issued anchors. Add negative tests for unsupported evidential attribution and completed-verification implications.
3. Add an explicit migration/preflight for both current profile configurations before enforcing legacy-key rejection, or revise parsing so an obsolete cosmetic key cannot disable the entire check-in. Test the real enabled-profile shape with postprocessing absent/disabled and assert canonical daily output remains available.
4. Change the controlled live shadow proof and promotion gate to four cases: daily, weekly, `adaptive.dualcoachtest.card.v1`, and `adaptive.physique.card.v1`. Require both adaptive versions to pass before enabling the shared adaptive surface flag.
5. Add both profile `tests/test_customer_schedule.py` files to the verification commands, and name/run the documentation attribution assertion. Keep unrelated auxiliary/Moonshot suites untouched.
6. Freeze a measurable shadow observation contract (fixed artifact count/window, exact accepted/failure counts, and per-adapter-version rule) and retain one-surface-at-a-time enablement/disabled rollback.
7. Specify the remaining journal state/encoding details and add a fixed hash-chain vector, or simplify redundant fields so independent executors cannot produce incompatible durable rows.