## Verdict
**ITERATE**

## Claim Checks
- Review is bound only to Planner artifact `/home/cube/projects/richard/traning coach/.gjc/_session-019f8518-dc3d-7000-a5ca-df57d336fdf6/plans/ralplan/019f8518-dc3d-7000-a5ca-df57d336fdf6/stage-08-planner.md` at declared SHA `7d24213a3618045787d0c5666e7b9766cdcaf613315e12f34a5f232eabf92275`, stage_n 8, and source spec `/home/cube/projects/richard/traning coach/.gjc/_session-019f8455-334a-7000-99ca-318dfd0e06b1/specs/deep-interview-dual-coach-single-customer-pilot.md`. No Architect output was consumed.
- The business and scope center is correct: one non-shop paying customer, KRW 150,000 bank transfer, one written 12-week plan, only a four-week daily/weekly pilot, Telegram plus a Richard-only loopback console, human-approved sends, weekly summary, and the four-KPI logical conjunction. The options reject generic Hermes deployment, a browser framework, public/global auth, and multi-customer redesign as required.
- The human-approval, customer/personal isolation, provider-terms, withdrawal/deletion/backup, outage fallback, and regression outcomes are represented by AC1–AC16. The proposed stdlib loopback console and focused HTTP/manual QA are appropriate for this bounded pilot.
- Representative implementation simulation found a strict file-map impossibility. `checkin_cli/customer_coaching.py` contains registry/profile/12-week-plan models, not the append-only event contract. Canonical event types and payload fields are in `checkin_cli/models.py`; adaptive flow transitions are in `checkin_cli/wizard.py`; Telegram step rendering/action decoding is in `gateway/platforms/physique_checkin.py`; and live customer draft rendering, scheduled delivery, callback interception, and Telegram sends are in `gateway/platforms/telegram.py`. These files are absent from the touch-point list while Handoff forbids touching anything outside that list. `checkin_cli/store.py` cannot remain wholly “as-is” if the chosen single event stream needs new typed event payloads without a separate, explicitly designed append API.
- The current `customer_schedule.py` emits `daily`, `weekly`, and `monthly` tasks for every enabled customer, and `gateway/platforms/telegram.py` renders the monthly owner report. The plan asserts only daily/weekly features activate but has no acceptance test or implementation step that suppresses monthly behavior during the four-week pilot.
- The current customer registry has only customer and owner Telegram addresses. The fixed customer route accepts only the exact customer tuple. The plan requires a trainer to submit a 30-second record but does not identify the single trainer ingress/identity, who may open/submit that flow, or how a post-session prompt is triggered. AC2's generic “permission boundaries” does not remove this executor guess.
- Existing safety logic confirms the intended predicate: `customer_grounding.py` returns no draft when safety signals are **present** or consent is absent, and the Telegram adapter separately notifies the owner of a safety hold. The plan's In Scope sentence says drafting is blocked when “consent or safety signals are absent,” and AC7 says “missing consent or safety signal,” which incorrectly blocks safe records and fails to state the required escalation outcome.
- `operator_console.py` is correctly identified as new. Existing tests and HANDOFF support the baseline, registry isolation, owner-only draft token, safety hold, schedule claim, and append-only foundations; no product tests were run, per this review assignment.

## Missing Evidence
- Definitely missing: a testable safety acceptance criterion that a present pain/disorder/eating-risk/drug/extreme-manipulation signal blocks normal feedback/customer send, notifies Richard with the hold reason, and transitions to human review/professional referral guidance.
- Definitely missing: a bounded trainer identity/Telegram ingress and authorization rule, plus its post-session trigger. Without it, the trainer flow cannot be implemented against the current exact-address router without guessing.
- Definitely missing: a four-week activation-boundary check proving no monthly or post-pilot automation runs while the 12-week plan remains grounding-only.
- Definitely missing: an accurate owner map for adaptive wizard behavior, canonical append-only pilot events, and Telegram approval/send callbacks. The current strict touch-point boundary excludes the files that own those paths.
- Thin verification: automated “timing budget assertions” do not establish 60–90-second customer completion or a 30-second trainer completion. A stopwatch dry run with the test-account normal/anomaly and trainer flows is needed. The local-token choice also lacks an explicit wrong/missing-token rejection check.

## Approval Boundary
Execution may preserve the bounded architecture choices, anti-scope list, one-customer data isolation, human approval model, KPI thresholds, and focused loopback-console approach. Implementation must not begin under the current “touch points only” handoff because core adaptive, trainer, event, and Telegram send paths sit outside that list. Revision approval does not include generic Hermes redesign, production-wide systemd/auth, a full browser framework, generic concurrency, exact deployment scripts, or any multi-customer expansion.

## Summary
- Clarity: Strong business scope; ambiguous/incorrect safety predicate and trainer ingress.
- Verifiability: Most outcomes have ACs; safety escalation, four-week monthly suppression, local-token rejection, and real elapsed-time checks need explicit coverage.
- Completeness: Core MVP outcomes are present, but the strict file map omits actual implementation owners.
- Big Picture: Correctly bounded to one paying customer and four weeks; no generic platform expansion requested.
- Principle/Option Consistency: O1/O2/O4 are consistent; O3 must identify the actual canonical event source rather than treating a reporting projection module as storage.
- Alternatives Depth: Sufficient and appropriately shallow for this bounded MVP.
- Risk/Verification Rigor: Good on mis-send, no auto-send, provider terms, fallback, and KPI boundaries; incomplete on trainer authorization, safe escalation, dormant monthly behavior, and local-token/timing verification.

## Required Changes
1. Correct every draft gate statement to “consent absent **or safety signals present** → no normal draft,” then add a safety AC and focused test covering owner notification, zero customer send, human review, and professional-referral guidance.
2. Replace the inaccurate strict touch-point map with the actual bounded owners: permit `checkin_cli/models.py` for canonical pilot event types/payloads, `checkin_cli/wizard.py` (and `wizard_models.py` only if a distinct trainer flow is chosen) for adaptive/trainer transitions, `gateway/platforms/physique_checkin.py` for prompts/actions, and `gateway/platforms/telegram.py` for callback/schedule/send integration. State whether `store.py` gains one generic append path or how the same canonical append-only stream is otherwise written and consumed by reporting. Keep the change bounded; no redesign is required.
3. Define one trainer address/identity bound to the one pilot customer, the exact authorization rule (customer cannot submit trainer records), and whether the post-session flow is a trainer-initiated command/button or a configured prompt. Add exact-trainer/foreign-sender and same-customer+KST-date tests.
4. Add a pilot-mode schedule criterion and implementation step proving only weekday daily and weekly pilot tasks run in weeks 1–4; existing monthly scheduling/reporting must remain dormant, and no automatic feature continues after the four-week activation window unless a human explicitly extends it.
5. Make focused verification observable without a framework: stopwatch the normal customer, anomaly customer, and trainer test-account flows; exercise loopback HTTP view/edit/approve/send; assert missing/wrong local token and non-loopback bind are rejected; retain the existing zero-preapproval-send and no-duplicate-recovery checks.