{
  "ok": true,
  "route": "/api/dcgp-144",
  "coin": "CHARLIE",
  "jetbase": "/api/jetbase",
  "law": "One Bottleneck Circuit. 144 seats. Not 144 unrelated circuits. Charlie knows the fire.",
  "protocol": "CELL → CONSTRAINT GRAPH → DIMENSIONAL FOLD → ADMISSIBILITY → MEASUREMENT",
  "B": {
    "C": "identity-bearing cells",
    "E": "constraints",
    "A": "admissibility",
    "O": "objective",
    "G": "fold geometry",
    "M": "measurements"
  },
  "equation": "C = I ± λM",
  "k6": "36 cells × 4 coordinates = 144 qubits",
  "seats": 144,
  "priority": [
    1,
    13,
    25,
    27,
    28,
    37,
    49,
    54,
    61,
    74,
    133,
    143,
    144
  ],
  "fire": [
    {
      "n": 1,
      "geo": "US",
      "bottleneck": "Grid interconnection queues",
      "cells": "Projects/capacity slots",
      "fire": true,
      "circuit": "B=(C,E,A,O,G,M)"
    },
    {
      "n": 13,
      "geo": "Taiwan",
      "bottleneck": "Fab tool scheduling",
      "cells": "Wafer lots/tools/steps",
      "fire": true,
      "circuit": "B=(C,E,A,O,G,M)"
    },
    {
      "n": 25,
      "geo": "Hyperscalers",
      "bottleneck": "GPU scheduling",
      "cells": "Jobs/GPUs/memory/net",
      "fire": true,
      "circuit": "B=(C,E,A,O,G,M)"
    },
    {
      "n": 27,
      "geo": "Inference",
      "bottleneck": "Model-request routing",
      "cells": "Requests/models/accelerators",
      "fire": true,
      "circuit": "B=(C,E,A,O,G,M)"
    },
    {
      "n": 28,
      "geo": "Agents",
      "bottleneck": "Stateful agent migration",
      "cells": "Identity-bearing agents",
      "fire": true,
      "circuit": "B=(C,E,A,O,G,M)"
    },
    {
      "n": 37,
      "geo": "Singapore",
      "bottleneck": "Berth and vessel scheduling",
      "cells": "Ships/berths/cranes",
      "fire": true,
      "circuit": "B=(C,E,A,O,G,M)"
    },
    {
      "n": 49,
      "geo": "US hospitals",
      "bottleneck": "Nurse scheduling",
      "cells": "Staff/shifts/demand",
      "fire": true,
      "circuit": "B=(C,E,A,O,G,M)"
    },
    {
      "n": 54,
      "geo": "ED",
      "bottleneck": "Patient-flow congestion",
      "cells": "Patient identity/care stages",
      "fire": true,
      "circuit": "B=(C,E,A,O,G,M)"
    },
    {
      "n": 61,
      "geo": "Pharma R&D",
      "bottleneck": "Molecular candidate search",
      "cells": "Molecules/fragments",
      "fire": true,
      "circuit": "B=(C,E,A,O,G,M)"
    },
    {
      "n": 74,
      "geo": "US aviation",
      "bottleneck": "Crew scheduling",
      "cells": "Crew/flights/duty",
      "fire": true,
      "circuit": "B=(C,E,A,O,G,M)"
    },
    {
      "n": 133,
      "geo": "Warehouses",
      "bottleneck": "Robot task assignment",
      "cells": "Robots/orders/locations",
      "fire": true,
      "circuit": "B=(C,E,A,O,G,M)"
    },
    {
      "n": 143,
      "geo": "Machine identity",
      "bottleneck": "Identity continuity through migration",
      "cells": "Identity cells/seals",
      "fire": true,
      "circuit": "B=(C,E,A,O,G,M)"
    },
    {
      "n": 144,
      "geo": "Cross-industry",
      "bottleneck": "Identity-preserving state transfer",
      "cells": "seat → fold → transport → reconstruct → verify",
      "fire": true,
      "circuit": "B=(C,E,A,O,G,M)"
    }
  ],
  "kv_key": "aura115:dcgp-144:bottleneck-circuit:v1",
  "open_quantum": "/api/open-quantum",
  "ts": "2026-10-29T03:25:50.337Z",
  "kv_wrote": true
}