# Scenario retrospective — Riverfront Steel, 2026-04-21

Executor: `qwen2.5:latest`   Reviewer: `qwen2.5:latest`   Draft: `qwen2.5:latest`

## Events

| At | Kind | Role / Count | Pool | Fills | Turns | Dur(s) | Cites | Gaps |
|---|---|---|---|---|---|---|---|---|
| 08:00 | baseline_fill | Warehouse Associate × 3 | - | ✗ 0 | 0 | 6.4 | 0 | 1 |
| 10:30 | recurring | Machine Operator × 2 | - | ✗ 0 | 0 | 16.8 | 0 | 1 |
| 12:15 | expansion | Forklift Operator × 5 | - | ✗ 0 | 0 | 7.2 | 0 | 1 |
| 14:00 | emergency | Loader × 4 | - | ✗ 0 | 0 | 54.0 | 0 | 1 |
| 15:45 | misplacement | Warehouse Associate × 1 | - | ✗ 0 | 0 | 49.3 | 0 | 1 |

## Final roster

| Worker | Booked | Role | City, ST | Status |
|---|---|---|---|---|

## Gap signals

### drift_or_tool
- **08:00** — invalid JSON from executor: JSON Parse error: Expected '}' | raw: {"kind":"tool_call","tool":"sql","args":{"query":"SELECT worker_id, name FROM workers_500k_v1 WHERE role = 'Warehouse Associate' AND city = 'Toledo' AND state = 'OH' AND CAST(availability AS DOUBLE) > 0.5 LIMIT 3"},"rationale":"verify top candidates via SQL query")}
- **10:30** — invalid JSON from executor: JSON Parse error: Expected '}' | raw: {"kind":"tool_call","tool":"hybrid_search","args":{"index_name":"workers_500k_v1","sql_filter":"role = 'Machine Operator' AND city = 'Toledo' AND state = 'OH' AND CAST(availability AS DOUBLE) > 0.5 AND reliability >= 0.7","question":"machine operator Toledo OH high reliability","k":2}
- **12:15** — invalid JSON from executor: JSON Parse error: Expected '}' | raw: {"kind":"tool_call","tool":"sql","args":{"query":"SELECT worker_id FROM workers_500k_v1 WHERE role = 'Forklift Operator' AND city = 'Toledo' AND state = 'OH' AND CAST(availability AS DOUBLE) > 0.5 AND CAST(reliability AS DOUBLE) > 0.75 LIMIT 5"},"rationale":"verify top candidates via SQL query to me
- **14:00** — no consensus after 14 turns
- **15:45** — no consensus after 14 turns

### write_through_audit
- _post-run_ — playbook_memory has 165 entries (ran 5 events, expected ≥ 0 new entries from this run)

## Workers touched across the week

0 distinct workers made it through to a decision. Every one is accounted for below — no-shows flagged, rebookings noted, everyone visible.

| Worker ID | Name | Events | Outcome |
|---|---|---|---|

## Discovered patterns (meta-index)

What the system identified across semantically-similar past fills as each event ran:

- **08:00 baseline_fill** (Warehouse Associate): —
- **10:30 recurring** (Machine Operator): —
- **12:15 expansion** (Forklift Operator): —
- **14:00 emergency** (Loader): —
- **15:45 misplacement** (Warehouse Associate): —

## Narrative

- 0/5 events reached consensus.
- Final roster: 0 bookings across 0 distinct workers.
- Workers touched (booked, failed, or otherwise decided): 0.
- Playbook citations across the day: 0 (proof the feedback loop fired across events).
- Dropped events: 08:00 baseline_fill, 10:30 recurring, 12:15 expansion, 14:00 emergency, 15:45 misplacement.