Tablekeeper — Figueira Dark Factory

Tablekeeper makes restaurant reservations dependable when guests book simultaneously, retry after a lost response, or change their plans. This revised delivery was built from an empty result repository by three existing BAND seats: planner, builder and independent reviewer. One initial human task covered all four stages. Generic mandates define the method; the official specification defines the product. The full room export preserves 3,154 events and the sole human dispatch. Four standalone folders cover the reservation API; a responsive booking UI with single and combined tables; effective-dated policies, truthful history and recurring reservations; then atomic series amendments and deterministic closure replanning. A retry recovers its original receipt while an explicit confirmation lookup shows the current seating. The final isolated harness passed 575 cumulative executions across the four folders: 120, 145, 152 and 158. These represent 158 distinct shipped official cases. Independent Stage 4 review passed 511 distinct case IDs. Earlier failures remain preserved: browser review caught large-number rounding despite green shipped tests; a color-only change was rejected, then the numeric repair passed the same checks. The video uses actual R03 room footage, a labelled timelapse and a post-run demonstration of the accepted app. The English presentation and repository explain the method, evidence and limits. Runtime needs no external API. State is ephemeral and uses one process. Model spend is unverified, not zero; hidden judging tests remain unknown. The original submission and factory history are preserved.