[
  {
    "date": "2026-05-01",
    "client": "Northland Logistics",
    "cities": "Chicago",
    "states": "IL",
    "events_total": 2,
    "events_ok": 2,
    "checkpoint_count": 1,
    "model": "gpt-oss:20b",
    "cloud": false,
    "lesson": "**  \nBefore assigning the 15:00 baseline_fill, pre‑fetch the list of workers already allocated at 10:00 and cross‑check each candidate’s schedule to avoid double booking. Verify that every worker’s artifact includes a valid `f.reason` before finalizing the assignment. This ensures overlapping shifts are caught early and reduces rework.",
    "checkpoints": [
      {
        "after": "10:00",
        "risk": "Double booking of scheduled workers",
        "hint": "Verify each worker's schedule before assigning to 15:00; handle artifact errors by ensuring f.reason exists."
      }
    ],
    "created_at": "2026-04-21T01:57:42.670Z",
    "file": "2026-05-01_Northland_Logistics_1776736662670.json"
  },
  {
    "date": "2026-04-24",
    "client": "Pioneer Assembly",
    "cities": "Chicago",
    "states": "IL",
    "events_total": 1,
    "events_ok": 0,
    "checkpoint_count": 1,
    "model": "gpt-oss:20b",
    "cloud": false,
    "lesson": "**  \nBefore initiating a baseline_fill for a new shift, run a quick tool‑accuracy audit and confirm all clerks have completed the latest training module. Allocate a sufficient pool of clerks and schedule a buffer shift load to avoid gaps; if the pool is empty, the baseline will fail immediately. After the fill, monitor for drift by comparing current performance metrics to the baseline and adjust shift assignments or retrain as needed. This proactive check prevents the “Receiving Clerk Chicago drift risk” and ensures a smooth start to the day.",
    "checkpoints": [
      {
        "after": "14:00",
        "risk": "Receiving Clerk Chicago drift risk",
        "hint": "Verify tool accuracy, retrain clerks, adjust shift load, and monitor drift in next shift."
      }
    ],
    "created_at": "2026-04-21T01:45:42.165Z",
    "file": "2026-04-24_Pioneer_Assembly_1776735942165.json"
  },
  {
    "date": "2026-04-22",
    "client": "Parallel Machining",
    "cities": "Joliet",
    "states": "IL",
    "events_total": 2,
    "events_ok": 1,
    "checkpoint_count": 1,
    "model": "gpt-oss:20b",
    "cloud": false,
    "lesson": "**  \nBefore any recurring Packer run in Joliet, verify tool calibration and review recent drift logs; if drift risk is detected, postpone the run until recalibration and refresher training are completed. Pre‑fetch updated pool data to avoid missing values that could cause failures. Log the calibration status and training completion in the system to trigger automatic risk alerts. If a run fails, immediately flag the drift risk and schedule corrective action before the next cycle.",
    "checkpoints": [
      {
        "after": "09:30",
        "risk": "Joliet Packer drift risk",
        "hint": "Recalibrate tools, review drift logs, and schedule refresher training for Packer in Joliet."
      }
    ],
    "created_at": "2026-04-21T01:43:31.053Z",
    "file": "2026-04-22_Parallel_Machining_1776735811053.json"
  }
]