[
  {
    "date": "2026-05-10",
    "client": "Midway Distribution",
    "cities": "Chicago",
    "states": "IL",
    "events_total": 3,
    "events_ok": 2,
    "checkpoint_count": 1,
    "model": "gpt-oss:20b",
    "cloud": false,
    "lesson": "**  \nBefore assigning a Packer to Chicago, verify the candidate’s current assignment and cross‑check drift logs for recent misplacements. Pre‑calibrate packing tools and load a backup Packer into the pool to avoid a single point of failure. If a drift risk is flagged, immediately relocate the Packer or switch to a verified alternate. Keep the pool count updated and ensure it matches the required number of roles before each event.",
    "checkpoints": [
      {
        "after": "09:30",
        "risk": "Packer drift risk persists",
        "hint": "Verify Packer's Chicago assignment, review drift logs, recalibrate tools, and consider temporary relocation."
      }
    ],
    "created_at": "2026-04-21T02:14:12.176Z",
    "file": "2026-05-10_Midway_Distribution_1776737652176.json"
  },
  {
    "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"
  }
]