[
  {
    "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": "2026-05-08",
    "client": "Summit Industrial",
    "cities": "Detroit",
    "states": "MI",
    "events_total": 2,
    "events_ok": 2,
    "checkpoint_count": 1,
    "model": "gpt-oss:20b",
    "cloud": false,
    "lesson": "**  \nWhen a recurring shift precedes a baseline‑fill, pre‑fetch the candidate’s calendar for both slots to avoid double‑booking. Always populate the `f.reason` field for every assignment to prevent artifact errors. In this run, Sarah D. Cook was at risk; check her calendar before assigning her to the 13:00 shift. Keep pool counts and turns updated after each fill to maintain accurate metrics.",
    "checkpoints": [
      {
        "after": "10:30",
        "risk": "Double-booking risk for Sarah",
        "hint": "Check Sarah D. Cook's calendar before assigning to the next shift; ensure f.reason is defined to avoid artifact errors."
      }
    ],
    "created_at": "2026-04-21T02:10:51.019Z",
    "file": "2026-05-08_Summit_Industrial_1776737451019.json"
  },
  {
    "date": "2026-05-05",
    "client": "Midway Distribution",
    "cities": "Indianapolis",
    "states": "IN",
    "events_total": 4,
    "events_ok": 3,
    "checkpoint_count": 2,
    "model": "gpt-oss:20b",
    "cloud": false,
    "lesson": "**  \nBefore running an expansion, pre‑fetch local Packer data (or fallback to the nearest city) and validate that the executor returns well‑formed JSON; this prevents the “Missing local Packer data” failure.  \nWhen an emergency request arrives, immediately cross‑check the 16:00 schedule to ensure no worker is assigned twice, and correct any artifact errors in the scheduling logic that could cause double‑booking.  \nImplement automated checks that flag duplicate assignments and missing data before the agent commits to a fill.",
    "checkpoints": [
      {
        "after": "10:30",
        "risk": "Missing local Packer data",
        "hint": "Add Indianapolis Packer records to the index or fallback to nearest city; verify executor returns valid JSON before execution."
      },
      {
        "after": "12:00",
        "risk": "16:00 double-booking risk",
        "hint": "Verify no worker is assigned twice for 16:00; fix artifact error in scheduling logic."
      }
    ],
    "created_at": "2026-04-21T02:04:50.585Z",
    "file": "2026-05-05_Midway_Distribution_1776737090585.json"
  }
]