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          "kind": "qbinary",
          "stack": "qbinary",
          "note": "beyondBINARY address {+1,1,-1,+0,0,-0,+n,n,-n} \u00b7 not a physical qubit"
        },
        {
          "i": 4,
          "id": "qb-circuit",
          "label": "Quantum circuit",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "ONLY overlap \u00b7 prefix\u2192gate \u00b7 emit OpenQASM 3 \u00b7 Elffin does not emit"
        },
        {
          "i": 5,
          "id": "il-l3",
          "label": "Iron L3 Quantum Gutter",
          "cluster": "iron",
          "kind": "iron",
          "stack": "iron",
          "note": "quantum-gutter \u00b7 jawta \u00b7 uvqbit \u00b7 classify"
        },
        {
          "i": 6,
          "id": "gpu-metal",
          "label": "Metal",
          "cluster": "gpu",
          "kind": "gpu",
          "stack": "gpu",
          "note": "Apple GPU \u00b7 Elffin wgpu/Metal one present \u00b7 ~16ms paint"
        },
        {
          "i": 7,
          "id": "app-elffin",
          "label": "Elffin Metal present",
          "cluster": "app",
          "kind": "app",
          "stack": "app",
          "note": "one Metal present \u00b7 ~16ms paint \u00b7 not classify \u00b7 not QASM \u00b7 not QPU"
        },
        {
          "i": 8,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 ~16ms pixels out \u00b7 last hop \u00b7 Elffin Metal present"
        }
      ],
      "url": "https://code.ugrad.ai/?route=top-submu-quantum-2026"
    },
    {
      "id": "qbinary-to-paint",
      "label": "Quantum address \u2192 Elffin paint (skip measure)",
      "teach": "beyondBINARY address \u2192 circuit (emit QASM) \u2192 skip measure \u2192 Elffin paint. Does not start at {0,1}.",
      "family": "paint",
      "budgetMs": 16.25,
      "budgetMin": 5,
      "hops": 7,
      "steps": [
        {
          "i": 1,
          "id": "classify",
          "label": "Classify engine",
          "cluster": "prefix",
          "kind": "engine",
          "stack": "code",
          "note": "quantum-prefixes.js \u00b7 ~0.05ms \u00b7 sibling \u00b7 NOT Elffin"
        },
        {
          "i": 2,
          "id": "qb-prefix",
          "label": "Prefix classify",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "11 symbols \u00b7 address not ISA \u00b7 sibling classify \u00b7 not inside Elffin"
        },
        {
          "i": 3,
          "id": "qb-qbit",
          "label": "Quantum binary (beyondBINARY)",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "beyondBINARY address {+1,1,-1,+0,0,-0,+n,n,-n} \u00b7 not a physical qubit"
        },
        {
          "i": 4,
          "id": "qb-circuit",
          "label": "Quantum circuit",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "ONLY overlap \u00b7 prefix\u2192gate \u00b7 emit OpenQASM 3 \u00b7 Elffin does not emit"
        },
        {
          "i": 5,
          "id": "gpu-metal",
          "label": "Metal",
          "cluster": "gpu",
          "kind": "gpu",
          "stack": "gpu",
          "note": "Apple GPU \u00b7 Elffin wgpu/Metal one present \u00b7 ~16ms paint"
        },
        {
          "i": 6,
          "id": "app-elffin",
          "label": "Elffin Metal present",
          "cluster": "app",
          "kind": "app",
          "stack": "app",
          "note": "one Metal present \u00b7 ~16ms paint \u00b7 not classify \u00b7 not QASM \u00b7 not QPU"
        },
        {
          "i": 7,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 ~16ms pixels out \u00b7 last hop \u00b7 Elffin Metal present"
        }
      ],
      "url": "https://code.ugrad.ai/?route=qbinary-to-paint"
    },
    {
      "id": "mobile-sync-image",
      "label": "Browser\u2194mobile \u2192 servers \u2192 image paint",
      "teach": "Device relay HERE/THERE then paint.",
      "family": "paint",
      "budgetMs": 93.5,
      "budgetMin": 5,
      "hops": 8,
      "steps": [
        {
          "i": 1,
          "id": "sync-browser",
          "label": "Browser issue",
          "cluster": "scenario",
          "kind": "scenario",
          "stack": "scenario",
          "note": "Client bug / desync / cache"
        },
        {
          "i": 2,
          "id": "sync-mobile",
          "label": "Mobile device",
          "cluster": "scenario",
          "kind": "scenario",
          "stack": "scenario",
          "note": "Continuity / phone cam / tether"
        },
        {
          "i": 3,
          "id": "sp-bc",
          "label": "BroadcastChannel spool",
          "cluster": "spool",
          "kind": "spool",
          "stack": "spool",
          "note": "Tab bus \u00b7 iron-line"
        },
        {
          "i": 4,
          "id": "net-l7",
          "label": "HTTP/3 \u00b7 QUIC",
          "cluster": "edge",
          "kind": "edge",
          "stack": "edge",
          "note": "App protocol"
        },
        {
          "i": 5,
          "id": "edge-cf",
          "label": "Cloudflare edge",
          "cluster": "edge",
          "kind": "edge",
          "stack": "edge",
          "note": "POP \u00b7 anycast"
        },
        {
          "i": 6,
          "id": "sync-image",
          "label": "Image load result",
          "cluster": "scenario",
          "kind": "scenario",
          "stack": "scenario",
          "note": "Decoded frame ready to paint"
        },
        {
          "i": 7,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        },
        {
          "i": 8,
          "id": "il-l5",
          "label": "Iron L5 RNDR/Paint",
          "cluster": "iron",
          "kind": "iron",
          "stack": "iron",
          "note": "hexcast \u00b7 studio \u00b7 paint frame 60fps"
        }
      ],
      "url": "https://code.ugrad.ai/?route=mobile-sync-image"
    },
    {
      "id": "neural-backup",
      "label": "Neural + backup potential",
      "teach": "Neural intent \u2192 steno encode \u2192 BC; if fail, backup HTTP \u2192 gutter \u2192 paint.",
      "family": "other",
      "budgetMs": 44.622,
      "budgetMin": 5,
      "hops": 8,
      "steps": [
        {
          "i": 1,
          "id": "mu-neural",
          "label": "Neural connection",
          "cluster": "mu",
          "kind": "mu",
          "stack": "mu",
          "note": "Cortical loop bus \u00b7 iron-line channel"
        },
        {
          "i": 2,
          "id": "mu-steno",
          "label": "Steno encode",
          "cluster": "mu",
          "kind": "mu",
          "stack": "mu",
          "note": "72\u03bcs overhead \u00b7 route history"
        },
        {
          "i": 3,
          "id": "mu-bc",
          "label": "BroadcastChannel bus",
          "cluster": "mu",
          "kind": "mu",
          "stack": "mu",
          "note": "quantum-prefixes \u00b7 iron-line \u00b7 hexterm"
        },
        {
          "i": 4,
          "id": "mu-backup",
          "label": "Backup route",
          "cluster": "mu",
          "kind": "mu",
          "stack": "mu",
          "note": "Redundant path \u00b7 failover hop"
        },
        {
          "i": 5,
          "id": "net-l7",
          "label": "HTTP/3 \u00b7 QUIC",
          "cluster": "edge",
          "kind": "edge",
          "stack": "edge",
          "note": "App protocol"
        },
        {
          "i": 6,
          "id": "il-l3",
          "label": "Iron L3 Quantum Gutter",
          "cluster": "iron",
          "kind": "iron",
          "stack": "iron",
          "note": "quantum-gutter \u00b7 jawta \u00b7 uvqbit \u00b7 classify"
        },
        {
          "i": 7,
          "id": "il-l5",
          "label": "Iron L5 RNDR/Paint",
          "cluster": "iron",
          "kind": "iron",
          "stack": "iron",
          "note": "hexcast \u00b7 studio \u00b7 paint frame 60fps"
        },
        {
          "i": 8,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=neural-backup"
    },
    {
      "id": "lang-structure",
      "label": "Any language \u2192 11 structures",
      "teach": "All 58 langs map to same 11 structure atoms for AI+human learning.",
      "family": "other",
      "budgetMs": 0.10044600000000001,
      "budgetMin": 2,
      "hops": 8,
      "steps": [
        {
          "i": 1,
          "id": "lang-python",
          "label": "python",
          "cluster": "lang",
          "kind": "language",
          "stack": "lang",
          "note": "quantum-prefixes \u00b7 11-symbol classify \u00b7 python"
        },
        {
          "i": 2,
          "id": "source",
          "label": "Source text",
          "cluster": "code",
          "kind": "code",
          "stack": "code",
          "note": "17+ languages"
        },
        {
          "i": 3,
          "id": "classify",
          "label": "Classify engine",
          "cluster": "prefix",
          "kind": "engine",
          "stack": "code",
          "note": "quantum-prefixes.js \u00b7 sub-\u00b5s"
        },
        {
          "i": 4,
          "id": "st-func",
          "label": "function / method",
          "cluster": "structure",
          "kind": "structure",
          "stack": "structure",
          "note": "Execution core"
        },
        {
          "i": 5,
          "id": "st-var",
          "label": "variable / bind",
          "cluster": "structure",
          "kind": "structure",
          "stack": "structure",
          "note": "Register / state"
        },
        {
          "i": 6,
          "id": "st-import",
          "label": "import / include",
          "cluster": "structure",
          "kind": "structure",
          "stack": "structure",
          "note": "Load path \u00b7 LD/ST"
        },
        {
          "i": 7,
          "id": "st-out",
          "label": "output / print",
          "cluster": "structure",
          "kind": "structure",
          "stack": "structure",
          "note": "Display \u00b7 HBM \u00b7 paint"
        },
        {
          "i": 8,
          "id": "qb-prefix",
          "label": "Prefix classify",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "11 symbols \u00b7 sub-\u03bcs"
        }
      ],
      "url": "https://code.ugrad.ai/?route=lang-structure"
    },
    {
      "id": "entire-infra-to-paint",
      "label": "ENTIRE INFRASTRUCTURE \u2192 Paint (TECH CLASS)",
      "teach": "Root tech-class \u2192 toolchains (uv/npm/cargo) \u2192 compilers (rustc/LLVM/nvcc) \u2192 machine binary \u2192 quantum binary \u2192 GPU spool \u2192 framebuffer paint \u00b7 Iron L5.",
      "family": "paint",
      "budgetMs": 425.9771,
      "budgetMin": 5,
      "hops": 19,
      "steps": [
        {
          "i": 1,
          "id": "tech-class",
          "label": "TECH CLASS root",
          "cluster": "techclass",
          "kind": "techclass",
          "stack": "techclass",
          "note": "AI ontology: toolchain\u2192compile\u2192binary\u2192q-binary\u2192math/GPU\u2192spool\u2192paint"
        },
        {
          "i": 2,
          "id": "pm-uv",
          "label": "uv",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Rust-speed Python pkg + venv \u00b7 lock"
        },
        {
          "i": 3,
          "id": "pm-cargo",
          "label": "cargo / crates.io",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Rust crates \u00b7 build"
        },
        {
          "i": 4,
          "id": "pm-npm",
          "label": "npm / yarn / pnpm",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "JS package registry \u00b7 node_modules"
        },
        {
          "i": 5,
          "id": "cc-rustc",
          "label": "rustc",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "Rust compiler \u00b7 LLVM"
        },
        {
          "i": 6,
          "id": "cc-llvm",
          "label": "LLVM / MLIR",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "IR \u00b7 optimize \u00b7 backend"
        },
        {
          "i": 7,
          "id": "ir-machine",
          "label": "Machine code",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "ISA bytes \u00b7 L1i fetch"
        },
        {
          "i": 8,
          "id": "qb-raw",
          "label": "Raw bits {0,1}",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "Classical binary stream"
        },
        {
          "i": 9,
          "id": "qb-qbit",
          "label": "Quantum binary (beyondBINARY)",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "{+1,1,-1,+0,0,-0,+n,n,-n} address"
        },
        {
          "i": 10,
          "id": "qb-prefix",
          "label": "Prefix classify",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "11 symbols \u00b7 sub-\u03bcs"
        },
        {
          "i": 11,
          "id": "qb-circuit",
          "label": "Quantum circuit",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "prefix\u2192gate \u00b7 QASM"
        },
        {
          "i": 12,
          "id": "math-torch",
          "label": "PyTorch",
          "cluster": "math",
          "kind": "math",
          "stack": "math",
          "note": "Tensors \u00b7 autograd \u00b7 CUDA"
        },
        {
          "i": 13,
          "id": "gpu-cuda",
          "label": "CUDA runtime",
          "cluster": "gpu",
          "kind": "gpu",
          "stack": "gpu",
          "note": "NVIDIA kernels \u00b7 streams"
        },
        {
          "i": 14,
          "id": "gpu-sched",
          "label": "GPU scheduler",
          "cluster": "gpu",
          "kind": "gpu",
          "stack": "gpu",
          "note": "Command queue \u00b7 spool"
        },
        {
          "i": 15,
          "id": "sp-render-queue",
          "label": "Render command buffer",
          "cluster": "spool",
          "kind": "spool",
          "stack": "spool",
          "note": "GPU submit spool"
        },
        {
          "i": 16,
          "id": "gpu-sm",
          "label": "GPU SM / CU",
          "cluster": "silicon",
          "kind": "silicon",
          "stack": "silicon",
          "note": "Warp \u00b7 tensor \u00b7 Blackwell map"
        },
        {
          "i": 17,
          "id": "sp-frame-buf",
          "label": "Framebuffer spool",
          "cluster": "spool",
          "kind": "spool",
          "stack": "spool",
          "note": "Double/triple buffer paint"
        },
        {
          "i": 18,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        },
        {
          "i": 19,
          "id": "il-l5",
          "label": "Iron L5 RNDR/Paint",
          "cluster": "iron",
          "kind": "iron",
          "stack": "iron",
          "note": "hexcast \u00b7 studio \u00b7 paint frame 60fps"
        }
      ],
      "url": "https://code.ugrad.ai/?route=entire-infra-to-paint"
    },
    {
      "id": "crates-to-paint",
      "label": "crates.io \u2192 rustc \u2192 binary \u2192 paint",
      "teach": "Rust crate graph cargo-built through LLVM to machine code, lifted to quantum-binary classify, GPU present.",
      "family": "paint",
      "budgetMs": 350.127246,
      "budgetMin": 5,
      "hops": 11,
      "steps": [
        {
          "i": 1,
          "id": "lang-rust",
          "label": "rust",
          "cluster": "lang",
          "kind": "language",
          "stack": "lang",
          "note": "quantum-prefixes \u00b7 11-symbol classify \u00b7 rust"
        },
        {
          "i": 2,
          "id": "pm-cargo",
          "label": "cargo / crates.io",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Rust crates \u00b7 build"
        },
        {
          "i": 3,
          "id": "cc-rustc",
          "label": "rustc",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "Rust compiler \u00b7 LLVM"
        },
        {
          "i": 4,
          "id": "cc-llvm",
          "label": "LLVM / MLIR",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "IR \u00b7 optimize \u00b7 backend"
        },
        {
          "i": 5,
          "id": "ir-machine",
          "label": "Machine code",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "ISA bytes \u00b7 L1i fetch"
        },
        {
          "i": 6,
          "id": "qb-raw",
          "label": "Raw bits {0,1}",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "Classical binary stream"
        },
        {
          "i": 7,
          "id": "qb-prefix",
          "label": "Prefix classify",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "11 symbols \u00b7 sub-\u03bcs"
        },
        {
          "i": 8,
          "id": "il-l3",
          "label": "Iron L3 Quantum Gutter",
          "cluster": "iron",
          "kind": "iron",
          "stack": "iron",
          "note": "quantum-gutter \u00b7 jawta \u00b7 uvqbit \u00b7 classify"
        },
        {
          "i": 9,
          "id": "gpu-webgpu",
          "label": "WebGPU",
          "cluster": "gpu",
          "kind": "gpu",
          "stack": "gpu",
          "note": "Browser GPU \u00b7 paint path"
        },
        {
          "i": 10,
          "id": "sp-frame-buf",
          "label": "Framebuffer spool",
          "cluster": "spool",
          "kind": "spool",
          "stack": "spool",
          "note": "Double/triple buffer paint"
        },
        {
          "i": 11,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=crates-to-paint"
    },
    {
      "id": "python-uv-ruff-paint",
      "label": "uv + hatch + ruff \u2192 Torch/CUDA \u2192 paint",
      "teach": "Modern Python toolchain: hatch project, uv lock, ruff lint, torch CUDA kernels, stream spool, paint.",
      "family": "paint",
      "budgetMs": 51.000246,
      "budgetMin": 5,
      "hops": 9,
      "steps": [
        {
          "i": 1,
          "id": "lang-python",
          "label": "python",
          "cluster": "lang",
          "kind": "language",
          "stack": "lang",
          "note": "quantum-prefixes \u00b7 11-symbol classify \u00b7 python"
        },
        {
          "i": 2,
          "id": "pm-hatch",
          "label": "hatch",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Python project/build env"
        },
        {
          "i": 3,
          "id": "pm-uv",
          "label": "uv",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Rust-speed Python pkg + venv \u00b7 lock"
        },
        {
          "i": 4,
          "id": "pm-ruff",
          "label": "ruff",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Python lint+format \u00b7 UV-speed class"
        },
        {
          "i": 5,
          "id": "math-torch",
          "label": "PyTorch",
          "cluster": "math",
          "kind": "math",
          "stack": "math",
          "note": "Tensors \u00b7 autograd \u00b7 CUDA"
        },
        {
          "i": 6,
          "id": "gpu-cuda",
          "label": "CUDA runtime",
          "cluster": "gpu",
          "kind": "gpu",
          "stack": "gpu",
          "note": "NVIDIA kernels \u00b7 streams"
        },
        {
          "i": 7,
          "id": "sp-cuda-stream",
          "label": "CUDA stream spool",
          "cluster": "spool",
          "kind": "spool",
          "stack": "spool",
          "note": "Async kernel queue"
        },
        {
          "i": 8,
          "id": "gpu-sm",
          "label": "GPU SM / CU",
          "cluster": "silicon",
          "kind": "silicon",
          "stack": "silicon",
          "note": "Warp \u00b7 tensor \u00b7 Blackwell map"
        },
        {
          "i": 9,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=python-uv-ruff-paint"
    },
    {
      "id": "lamp-to-browser-paint",
      "label": "LAMP \u2192 HTTP \u2192 browser paint",
      "teach": "Classic LAMP serves PHP; browser receives HTML/bytes and paints via canvas/WebGPU path.",
      "family": "paint",
      "budgetMs": 100.0,
      "budgetMin": 5,
      "hops": 7,
      "steps": [
        {
          "i": 1,
          "id": "st-lamp",
          "label": "LAMP stack",
          "cluster": "stackclass",
          "kind": "stackclass",
          "stack": "stackclass",
          "note": "Linux \u00b7 Apache \u00b7 MySQL \u00b7 PHP"
        },
        {
          "i": 2,
          "id": "pm-composer",
          "label": "composer",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "PHP packages \u00b7 LAMP"
        },
        {
          "i": 3,
          "id": "cc-php",
          "label": "php-fpm",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "PHP \u00b7 LAMP runtime"
        },
        {
          "i": 4,
          "id": "net-l7",
          "label": "HTTP/3 \u00b7 QUIC",
          "cluster": "edge",
          "kind": "edge",
          "stack": "edge",
          "note": "App protocol"
        },
        {
          "i": 5,
          "id": "sync-browser",
          "label": "Browser issue",
          "cluster": "scenario",
          "kind": "scenario",
          "stack": "scenario",
          "note": "Client bug / desync / cache"
        },
        {
          "i": 6,
          "id": "gpu-webgpu",
          "label": "WebGPU",
          "cluster": "gpu",
          "kind": "gpu",
          "stack": "gpu",
          "note": "Browser GPU \u00b7 paint path"
        },
        {
          "i": 7,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=lamp-to-browser-paint"
    },
    {
      "id": "go-mod-to-paint",
      "label": "go mod \u2192 gc \u2192 service \u2192 paint",
      "teach": "Go module build to binary service; HTTP to client paint.",
      "family": "paint",
      "budgetMs": 126.010246,
      "budgetMin": 5,
      "hops": 7,
      "steps": [
        {
          "i": 1,
          "id": "lang-go",
          "label": "go",
          "cluster": "lang",
          "kind": "language",
          "stack": "lang",
          "note": "quantum-prefixes \u00b7 11-symbol classify \u00b7 go"
        },
        {
          "i": 2,
          "id": "pm-go",
          "label": "go mod",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Go modules \u00b7 proxy"
        },
        {
          "i": 3,
          "id": "cc-go",
          "label": "gc (go compiler)",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "Go compile+link"
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          "i": 4,
          "id": "ir-machine",
          "label": "Machine code",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "ISA bytes \u00b7 L1i fetch"
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        {
          "i": 5,
          "id": "net-l7",
          "label": "HTTP/3 \u00b7 QUIC",
          "cluster": "edge",
          "kind": "edge",
          "stack": "edge",
          "note": "App protocol"
        },
        {
          "i": 6,
          "id": "sync-browser",
          "label": "Browser issue",
          "cluster": "scenario",
          "kind": "scenario",
          "stack": "scenario",
          "note": "Client bug / desync / cache"
        },
        {
          "i": 7,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=go-mod-to-paint"
    },
    {
      "id": "r-cran-to-paint",
      "label": "R / CRAN \u2192 plot \u2192 paint",
      "teach": "R stats via CRAN; plot device frames to paint output.",
      "family": "paint",
      "budgetMs": 96.016246,
      "budgetMin": 5,
      "hops": 6,
      "steps": [
        {
          "i": 1,
          "id": "lang-r",
          "label": "r",
          "cluster": "lang",
          "kind": "language",
          "stack": "lang",
          "note": "classify rules \u00b7 r"
        },
        {
          "i": 2,
          "id": "pm-cran",
          "label": "CRAN / renv",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "R language packages"
        },
        {
          "i": 3,
          "id": "cc-rlang",
          "label": "R interpreter",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "R eval \u00b7 vectorize"
        },
        {
          "i": 4,
          "id": "math-r",
          "label": "R stats/math",
          "cluster": "math",
          "kind": "math",
          "stack": "math",
          "note": "stats models \u00b7 plots"
        },
        {
          "i": 5,
          "id": "sp-frame-buf",
          "label": "Framebuffer spool",
          "cluster": "spool",
          "kind": "spool",
          "stack": "spool",
          "note": "Double/triple buffer paint"
        },
        {
          "i": 6,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=r-cran-to-paint"
    },
    {
      "id": "decompile-learn",
      "label": "Binary \u2192 decompile \u2192 re-classify \u2192 paint",
      "teach": "Reverse path for AI: machine \u2192 objdump/Ghidra \u2192 source approx \u2192 prefix \u2192 paint understanding.",
      "family": "paint",
      "budgetMs": 536.16,
      "budgetMin": 5,
      "hops": 8,
      "steps": [
        {
          "i": 1,
          "id": "ir-machine",
          "label": "Machine code",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "ISA bytes \u00b7 L1i fetch"
        },
        {
          "i": 2,
          "id": "dc-objdump",
          "label": "objdump / llvm-objdump",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "Disassemble binary"
        },
        {
          "i": 3,
          "id": "dc-ghidra",
          "label": "Ghidra / IDA class",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "Decompiler \u00b7 reverse"
        },
        {
          "i": 4,
          "id": "source",
          "label": "Source text",
          "cluster": "code",
          "kind": "code",
          "stack": "code",
          "note": "17+ languages"
        },
        {
          "i": 5,
          "id": "classify",
          "label": "Classify engine",
          "cluster": "prefix",
          "kind": "engine",
          "stack": "code",
          "note": "quantum-prefixes.js \u00b7 sub-\u00b5s"
        },
        {
          "i": 6,
          "id": "qb-prefix",
          "label": "Prefix classify",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "11 symbols \u00b7 sub-\u03bcs"
        },
        {
          "i": 7,
          "id": "app-gutter",
          "label": "quantum-gutter",
          "cluster": "app",
          "kind": "app",
          "stack": "app",
          "note": "Prefix showcase"
        },
        {
          "i": 8,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=decompile-learn"
    },
    {
      "id": "gpu-spool-paint",
      "label": "GPU handling + spool \u2192 paint",
      "teach": "Driver \u2192 API \u2192 scheduler \u2192 command buffer spool \u2192 SM \u2192 VRAM \u2192 framebuffer \u2192 present.",
      "family": "paint",
      "budgetMs": 23.016,
      "budgetMin": 2,
      "hops": 8,
      "steps": [
        {
          "i": 1,
          "id": "gpu-driver",
          "label": "GPU driver",
          "cluster": "gpu",
          "kind": "gpu",
          "stack": "gpu",
          "note": "Kernel mode \u00b7 ioctl"
        },
        {
          "i": 2,
          "id": "gpu-webgpu",
          "label": "WebGPU",
          "cluster": "gpu",
          "kind": "gpu",
          "stack": "gpu",
          "note": "Browser GPU \u00b7 paint path"
        },
        {
          "i": 3,
          "id": "gpu-sched",
          "label": "GPU scheduler",
          "cluster": "gpu",
          "kind": "gpu",
          "stack": "gpu",
          "note": "Command queue \u00b7 spool"
        },
        {
          "i": 4,
          "id": "sp-render-queue",
          "label": "Render command buffer",
          "cluster": "spool",
          "kind": "spool",
          "stack": "spool",
          "note": "GPU submit spool"
        },
        {
          "i": 5,
          "id": "gpu-sm",
          "label": "GPU SM / CU",
          "cluster": "silicon",
          "kind": "silicon",
          "stack": "silicon",
          "note": "Warp \u00b7 tensor \u00b7 Blackwell map"
        },
        {
          "i": 6,
          "id": "gpu-vram",
          "label": "VRAM / HBM",
          "cluster": "gpu",
          "kind": "gpu",
          "stack": "gpu",
          "note": "Framebuffer store"
        },
        {
          "i": 7,
          "id": "sp-frame-buf",
          "label": "Framebuffer spool",
          "cluster": "spool",
          "kind": "spool",
          "stack": "spool",
          "note": "Double/triple buffer paint"
        },
        {
          "i": 8,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=gpu-spool-paint"
    },
    {
      "id": "github-vs-grok-structure",
      "label": "GitHub org tree vs xAI/Grok org tree",
      "teach": "Microsoft\u2192GitHub (repos, Actions, Copilot, Packages) vs xAI (Grok, Imagine, Colossus, API) vs Cursor Composer scaffold. Same internet root (IANA).",
      "family": "gov",
      "budgetMs": 0.0,
      "budgetMin": 5,
      "hops": 12,
      "steps": [
        {
          "i": 1,
          "id": "org-msft",
          "label": "Microsoft",
          "cluster": "orgstruct",
          "kind": "org",
          "stack": "orgstruct",
          "note": "Parent of GitHub \u00b7 Azure \u00b7 VS Code \u00b7 stack: C#/.NET, TypeScript, C++"
        },
        {
          "i": 2,
          "id": "org-github",
          "label": "GitHub",
          "cluster": "orgstruct",
          "kind": "org",
          "stack": "orgstruct",
          "note": "Dev platform under Microsoft \u00b7 stack: Ruby class legacy, Go services, TypeScript"
        },
        {
          "i": 3,
          "id": "gh-repos",
          "label": "Repositories / git",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "Source of truth"
        },
        {
          "i": 4,
          "id": "gh-actions",
          "label": "Actions CI/CD",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "Workflows \u00b7 runners"
        },
        {
          "i": 5,
          "id": "gh-copilot",
          "label": "Copilot",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "AI pair \u00b7 agent coding"
        },
        {
          "i": 6,
          "id": "org-xai",
          "label": "xAI",
          "cluster": "orgstruct",
          "kind": "org",
          "stack": "orgstruct",
          "note": "Grok \u00b7 Imagine \u00b7 Colossus \u00b7 research \u00b7 stack: Python train, Rust/C++ serve class, TS clients"
        },
        {
          "i": 7,
          "id": "xai-grok",
          "label": "Grok models",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "Chat \u00b7 reason \u00b7 tools"
        },
        {
          "i": 8,
          "id": "xai-colossus",
          "label": "Colossus",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "GPU training mega-cluster Memphis"
        },
        {
          "i": 9,
          "id": "xai-api",
          "label": "xAI API",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "Inference \u00b7 products"
        },
        {
          "i": 10,
          "id": "org-anysphere",
          "label": "Anysphere / Cursor",
          "cluster": "orgstruct",
          "kind": "org",
          "stack": "orgstruct",
          "note": "AI coding IDE \u00b7 Composer agent \u00b7 stack: TypeScript, VS Code fork, Rust/node tooling class"
        },
        {
          "i": 11,
          "id": "cur-composer",
          "label": "Composer",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "Multi-step agentic scaffold"
        },
        {
          "i": 12,
          "id": "gov-root-iana",
          "label": "IANA / PTI",
          "cluster": "netgov",
          "kind": "registry",
          "stack": "netgov",
          "note": "Names \u00b7 numbers \u00b7 protocol parameters \u00b7 WHOIS root"
        }
      ],
      "url": "https://code.ugrad.ai/?route=github-vs-grok-structure"
    },
    {
      "id": "internet-gov-figjam",
      "label": "IANA \u2192 RIRs (FigJam registry structure)",
      "teach": "IANA root \u2192 WHOIS/zone \u2192 RIPE/ARIN/APNIC/LACNIC/AFRINIC \u2014 actual internet number/name governance.",
      "family": "gov",
      "budgetMs": 0.0,
      "budgetMin": 3,
      "hops": 9,
      "steps": [
        {
          "i": 1,
          "id": "gov-icann-pol",
          "label": "ICANN policy",
          "cluster": "netgov",
          "kind": "registry",
          "stack": "netgov",
          "note": "Names & numbers policy"
        },
        {
          "i": 2,
          "id": "gov-root-iana",
          "label": "IANA / PTI",
          "cluster": "netgov",
          "kind": "registry",
          "stack": "netgov",
          "note": "Names \u00b7 numbers \u00b7 protocol parameters \u00b7 WHOIS root"
        },
        {
          "i": 3,
          "id": "gov-whois",
          "label": "WHOIS / RDAP",
          "cluster": "netgov",
          "kind": "registry",
          "stack": "netgov",
          "note": "Public registration query"
        },
        {
          "i": 4,
          "id": "gov-zone",
          "label": "Root zone / zone files",
          "cluster": "netgov",
          "kind": "registry",
          "stack": "netgov",
          "note": "DNS root zone data"
        },
        {
          "i": 5,
          "id": "gov-ripe",
          "label": "RIPE NCC (1992)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "Europe \u00b7 Middle East \u00b7 Central Asia"
        },
        {
          "i": 6,
          "id": "gov-arin",
          "label": "ARIN (1997)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "North America"
        },
        {
          "i": 7,
          "id": "gov-apnic",
          "label": "APNIC (1993)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "Asia Pacific"
        },
        {
          "i": 8,
          "id": "gov-lacnic",
          "label": "LACNIC (2002)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "Latin America \u00b7 Caribbean"
        },
        {
          "i": 9,
          "id": "gov-afrinic",
          "label": "AFRINIC (2005)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "Africa"
        }
      ],
      "url": "https://code.ugrad.ai/?route=internet-gov-figjam"
    },
    {
      "id": "cloud-signal-flow",
      "label": "Cloud signal flow (CF \u00b7 GCP \u00b7 Azure \u00b7 AWS)",
      "teach": "FigJam-style cloud parents with service columns; platforms GitHub/npm/Vercel/Firebase hang off clouds.",
      "family": "cloud",
      "budgetMs": 16.0,
      "budgetMin": 5,
      "hops": 9,
      "steps": [
        {
          "i": 1,
          "id": "cloud-cf",
          "label": "Cloudflare",
          "cluster": "cloud",
          "kind": "cloud",
          "stack": "cloud",
          "note": "CDN \u00b7 edge \u00b7 workers \u00b7 DNS \u00b7 security \u00b7 stack: Rust edge, JS Workers, TS"
        },
        {
          "i": 2,
          "id": "cloud-gcp",
          "label": "GCP",
          "cluster": "cloud",
          "kind": "cloud",
          "stack": "cloud",
          "note": "Google Cloud Platform \u00b7 stack: Go/Java/Python, gcloud, TS"
        },
        {
          "i": 3,
          "id": "cloud-azure",
          "label": "Azure",
          "cluster": "cloud",
          "kind": "cloud",
          "stack": "cloud",
          "note": "Microsoft Azure \u00b7 stack: C#, TypeScript, Python"
        },
        {
          "i": 4,
          "id": "cloud-aws",
          "label": "AWS",
          "cluster": "cloud",
          "kind": "cloud",
          "stack": "cloud",
          "note": "Amazon Web Services \u00b7 stack: Java/Go/Rust services, CloudFormation/CDK, TS SDK"
        },
        {
          "i": 5,
          "id": "plat-github",
          "label": "GitHub",
          "cluster": "platform",
          "kind": "platform",
          "stack": "platform",
          "note": "Code host \u00b7 Actions \u00b7 Packages \u00b7 Copilot"
        },
        {
          "i": 6,
          "id": "plat-npm",
          "label": "npm registry",
          "cluster": "platform",
          "kind": "platform",
          "stack": "platform",
          "note": "JS package registry"
        },
        {
          "i": 7,
          "id": "plat-vercel",
          "label": "Vercel",
          "cluster": "platform",
          "kind": "platform",
          "stack": "platform",
          "note": "Frontend cloud \u00b7 edge"
        },
        {
          "i": 8,
          "id": "plat-firebase",
          "label": "Firebase",
          "cluster": "platform",
          "kind": "platform",
          "stack": "platform",
          "note": "BaaS \u00b7 under GCP"
        },
        {
          "i": 9,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=cloud-signal-flow"
    },
    {
      "id": "product-grok-to-device",
      "label": "Grok product \u2192 Composer \u2192 Colossus \u2192 paint/device",
      "teach": "Place Grok at top; flow org \u2192 model \u2192 Colossus train \u2192 API \u2192 Cursor scaffold \u2192 GitHub \u2192 browser paint.",
      "family": "spacex",
      "budgetMs": 16.0,
      "budgetMin": 5,
      "hops": 9,
      "steps": [
        {
          "i": 1,
          "id": "xai-grok",
          "label": "Grok models",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "Chat \u00b7 reason \u00b7 tools"
        },
        {
          "i": 2,
          "id": "org-xai",
          "label": "xAI",
          "cluster": "orgstruct",
          "kind": "org",
          "stack": "orgstruct",
          "note": "Grok \u00b7 Imagine \u00b7 Colossus \u00b7 research \u00b7 stack: Python train, Rust/C++ serve class, TS clients"
        },
        {
          "i": 3,
          "id": "xai-colossus",
          "label": "Colossus",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "GPU training mega-cluster Memphis"
        },
        {
          "i": 4,
          "id": "xai-api",
          "label": "xAI API",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "Inference \u00b7 products"
        },
        {
          "i": 5,
          "id": "cur-composer",
          "label": "Composer",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "Multi-step agentic scaffold"
        },
        {
          "i": 6,
          "id": "org-github",
          "label": "GitHub",
          "cluster": "orgstruct",
          "kind": "org",
          "stack": "orgstruct",
          "note": "Dev platform under Microsoft \u00b7 stack: Ruby class legacy, Go services, TypeScript"
        },
        {
          "i": 7,
          "id": "gh-repos",
          "label": "Repositories / git",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "Source of truth"
        },
        {
          "i": 8,
          "id": "plat-vercel",
          "label": "Vercel",
          "cluster": "platform",
          "kind": "platform",
          "stack": "platform",
          "note": "Frontend cloud \u00b7 edge"
        },
        {
          "i": 9,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=product-grok-to-device"
    },
    {
      "id": "imagine-to-device",
      "label": "Imagine \u2192 Composer \u2192 Colossus \u2192 browser/device",
      "teach": "Product Imagine at top \u2192 Cursor Composer scaffold \u2192 Colossus train \u2192 API \u2192 Chrome/WebGPU \u2192 1080p/4K + GPU/RAM/display.",
      "family": "spacex",
      "budgetMs": 16.0,
      "budgetMin": 5,
      "hops": 10,
      "steps": [
        {
          "i": 1,
          "id": "prod-imagine",
          "label": "Imagine",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "xAI image/video gen \u00b7 code: Python train, diffusion/video class, TS web viewer, WASM/WebGPU paint"
        },
        {
          "i": 2,
          "id": "agent-composer",
          "label": "Composer (Cursor)",
          "cluster": "agent",
          "kind": "agent",
          "stack": "agent",
          "note": "Scaffold \u00b7 multi-file edit \u00b7 terminal \u00b7 agents \u2192 repos"
        },
        {
          "i": 3,
          "id": "factory-colossus",
          "label": "Colossus (factory)",
          "cluster": "factory",
          "kind": "factory",
          "stack": "factory",
          "note": "NVIDIA H100/H200/GB200 class \u00b7 Spectrum-X \u00b7 train/serve Grok-class"
        },
        {
          "i": 4,
          "id": "xai-api",
          "label": "xAI API",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "Inference \u00b7 products"
        },
        {
          "i": 5,
          "id": "dev-chrome",
          "label": "Chrome / Edge (Blink)",
          "cluster": "device",
          "kind": "browser",
          "stack": "device",
          "note": "Chromium \u00b7 WebGPU/WebGL"
        },
        {
          "i": 6,
          "id": "res-1920x1080",
          "label": "1920\u00d71080",
          "cluster": "device",
          "kind": "resolution",
          "stack": "device",
          "note": "FHD 1080p"
        },
        {
          "i": 7,
          "id": "res-3840x2160",
          "label": "3840\u00d72160",
          "cluster": "device",
          "kind": "resolution",
          "stack": "device",
          "note": "4K UHD"
        },
        {
          "i": 8,
          "id": "comp-gpu",
          "label": "GPU / NPU",
          "cluster": "device",
          "kind": "component",
          "stack": "device",
          "note": "Paint \u00b7 ML accel"
        },
        {
          "i": 9,
          "id": "comp-display",
          "label": "Display panel",
          "cluster": "device",
          "kind": "component",
          "stack": "device",
          "note": "LCD/OLED/micro-OLED"
        },
        {
          "i": 10,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=imagine-to-device"
    },
    {
      "id": "optimus-to-device",
      "label": "Optimus \u2192 Dojo \u2192 robot/device BOM",
      "teach": "Optimus product \u2192 Composer \u2192 Dojo train \u2192 robot form \u2192 cameras/IMU/SoC \u2192 operator tablet.",
      "family": "spacex",
      "budgetMs": 0.0,
      "budgetMin": 5,
      "hops": 9,
      "steps": [
        {
          "i": 1,
          "id": "prod-optimus",
          "label": "Optimus",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Humanoid robot product \u00b7 code: C++/Python robotics, sim, vision train (Dojo), fleet tools TS"
        },
        {
          "i": 2,
          "id": "agent-composer",
          "label": "Composer (Cursor)",
          "cluster": "agent",
          "kind": "agent",
          "stack": "agent",
          "note": "Scaffold \u00b7 multi-file edit \u00b7 terminal \u00b7 agents \u2192 repos"
        },
        {
          "i": 3,
          "id": "factory-dojo",
          "label": "Dojo (factory)",
          "cluster": "factory",
          "kind": "factory",
          "stack": "factory",
          "note": "Tesla D1/tile/cabinet \u00b7 autonomy & robotics train"
        },
        {
          "i": 4,
          "id": "form-robot",
          "label": "Robot body",
          "cluster": "device",
          "kind": "formfactor",
          "stack": "device",
          "note": "Optimus-class"
        },
        {
          "i": 5,
          "id": "comp-camera",
          "label": "Camera module",
          "cluster": "device",
          "kind": "component",
          "stack": "device",
          "note": "RGB \u00b7 depth \u00b7 tracking"
        },
        {
          "i": 6,
          "id": "comp-imu",
          "label": "IMU / tracking",
          "cluster": "device",
          "kind": "component",
          "stack": "device",
          "note": "6DoF \u00b7 SLAM sensors"
        },
        {
          "i": 7,
          "id": "comp-soc",
          "label": "SoC (Snapdragon / Apple / Tesla HW)",
          "cluster": "device",
          "kind": "component",
          "stack": "device",
          "note": "CPU+GPU+NPU die"
        },
        {
          "i": 8,
          "id": "form-tablet",
          "label": "Tablet",
          "cluster": "device",
          "kind": "formfactor",
          "stack": "device",
          "note": "iPad/Android tablet"
        },
        {
          "i": 9,
          "id": "res-1920x1080",
          "label": "1920\u00d71080",
          "cluster": "device",
          "kind": "resolution",
          "stack": "device",
          "note": "FHD 1080p"
        }
      ],
      "url": "https://code.ugrad.ai/?route=optimus-to-device"
    },
    {
      "id": "grok-to-device",
      "label": "Grok \u2192 Colossus \u2192 phone/desktop",
      "teach": "Grok \u2192 Composer \u2192 Colossus \u2192 API \u2192 phone 390\u00d7844 + desktop 1080p.",
      "family": "spacex",
      "budgetMs": 16.0,
      "budgetMin": 5,
      "hops": 9,
      "steps": [
        {
          "i": 1,
          "id": "prod-grok",
          "label": "Grok",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "xAI chat \u00b7 reason \u00b7 tools \u00b7 code: TypeScript/JS, Python, Rust class, React/web"
        },
        {
          "i": 2,
          "id": "agent-composer",
          "label": "Composer (Cursor)",
          "cluster": "agent",
          "kind": "agent",
          "stack": "agent",
          "note": "Scaffold \u00b7 multi-file edit \u00b7 terminal \u00b7 agents \u2192 repos"
        },
        {
          "i": 3,
          "id": "factory-colossus",
          "label": "Colossus (factory)",
          "cluster": "factory",
          "kind": "factory",
          "stack": "factory",
          "note": "NVIDIA H100/H200/GB200 class \u00b7 Spectrum-X \u00b7 train/serve Grok-class"
        },
        {
          "i": 4,
          "id": "xai-api",
          "label": "xAI API",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "Inference \u00b7 products"
        },
        {
          "i": 5,
          "id": "form-phone",
          "label": "Phone",
          "cluster": "device",
          "kind": "formfactor",
          "stack": "device",
          "note": "Handset"
        },
        {
          "i": 6,
          "id": "res-390x844",
          "label": "390\u00d7844",
          "cluster": "device",
          "kind": "resolution",
          "stack": "device",
          "note": "iPhone class"
        },
        {
          "i": 7,
          "id": "dev-chrome",
          "label": "Chrome / Edge (Blink)",
          "cluster": "device",
          "kind": "browser",
          "stack": "device",
          "note": "Chromium \u00b7 WebGPU/WebGL"
        },
        {
          "i": 8,
          "id": "dev-safari",
          "label": "Safari (WebKit)",
          "cluster": "device",
          "kind": "browser",
          "stack": "device",
          "note": "iOS/macOS WebKit"
        },
        {
          "i": 9,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=grok-to-device"
    },
    {
      "id": "starlink-to-device",
      "label": "Starlink \u2192 terminal/phone components",
      "teach": "Starlink product \u2192 dish form \u2192 radio/GNSS/SoC \u2192 phone/desktop apps.",
      "family": "spacex",
      "budgetMs": 0.0,
      "budgetMin": 5,
      "hops": 8,
      "steps": [
        {
          "i": 1,
          "id": "prod-starlink",
          "label": "Starlink",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "LEO broadband product \u00b7 code: embedded C/C++/Rust class, Go/services, mobile apps, NOC dashboards"
        },
        {
          "i": 2,
          "id": "agent-composer",
          "label": "Composer (Cursor)",
          "cluster": "agent",
          "kind": "agent",
          "stack": "agent",
          "note": "Scaffold \u00b7 multi-file edit \u00b7 terminal \u00b7 agents \u2192 repos"
        },
        {
          "i": 3,
          "id": "form-dish",
          "label": "Starlink terminal",
          "cluster": "device",
          "kind": "formfactor",
          "stack": "device",
          "note": "User dish / router"
        },
        {
          "i": 4,
          "id": "comp-radio",
          "label": "Radio (Wi\u2011Fi / 5G / Starlink)",
          "cluster": "device",
          "kind": "component",
          "stack": "device",
          "note": "Connectivity"
        },
        {
          "i": 5,
          "id": "comp-gnss",
          "label": "GNSS",
          "cluster": "device",
          "kind": "component",
          "stack": "device",
          "note": "GPS/Galileo class"
        },
        {
          "i": 6,
          "id": "comp-soc",
          "label": "SoC (Snapdragon / Apple / Tesla HW)",
          "cluster": "device",
          "kind": "component",
          "stack": "device",
          "note": "CPU+GPU+NPU die"
        },
        {
          "i": 7,
          "id": "form-phone",
          "label": "Phone",
          "cluster": "device",
          "kind": "formfactor",
          "stack": "device",
          "note": "Handset"
        },
        {
          "i": 8,
          "id": "res-390x844",
          "label": "390\u00d7844",
          "cluster": "device",
          "kind": "resolution",
          "stack": "device",
          "note": "iPhone class"
        }
      ],
      "url": "https://code.ugrad.ai/?route=starlink-to-device"
    },
    {
      "id": "vr-resolutions",
      "label": "VR resolution ladder (Figma VR_Resolutions_00)",
      "teach": "DK1 \u2192 Quest 2 \u2192 Pro 2 \u2192 Varjo \u00b7 Quest 3 \u00b7 Vision Pro class \u2014 paint targets.",
      "family": "other",
      "budgetMs": 16.0,
      "budgetMin": 5,
      "hops": 10,
      "steps": [
        {
          "i": 1,
          "id": "vr-640x800",
          "label": "640\u00d7800 \u00b7 Oculus DK1",
          "cluster": "device",
          "kind": "vr-resolution",
          "stack": "device",
          "note": "DK1"
        },
        {
          "i": 2,
          "id": "vr-1080x1200",
          "label": "1080\u00d71200 \u00b7 CV1 / Vive / WMR",
          "cluster": "device",
          "kind": "vr-resolution",
          "stack": "device",
          "note": "Rift CV1 \u00b7 Vive \u00b7 WMR"
        },
        {
          "i": 3,
          "id": "vr-1440x1600",
          "label": "1440\u00d71600 \u00b7 Quest / Index / Odyssey",
          "cluster": "device",
          "kind": "vr-resolution",
          "stack": "device",
          "note": "Quest \u00b7 Index \u00b7 Odyssey \u00b7 Vive Pro"
        },
        {
          "i": 4,
          "id": "vr-1832x1920",
          "label": "1832\u00d71920 \u00b7 Quest 2",
          "cluster": "device",
          "kind": "vr-resolution",
          "stack": "device",
          "note": "Quest 2"
        },
        {
          "i": 5,
          "id": "vr-2448x2448",
          "label": "2448\u00d72448 \u00b7 Vive Pro 2 / Focus 3",
          "cluster": "device",
          "kind": "vr-resolution",
          "stack": "device",
          "note": "Vive Pro 2 \u00b7 Focus 3"
        },
        {
          "i": 6,
          "id": "vr-2880x2720",
          "label": "2880\u00d72720 \u00b7 Varjo Aero",
          "cluster": "device",
          "kind": "vr-resolution",
          "stack": "device",
          "note": "Varjo Aero"
        },
        {
          "i": 7,
          "id": "vr-quest3",
          "label": "Quest 3 / 3S class",
          "cluster": "device",
          "kind": "vr-resolution",
          "stack": "device",
          "note": "Meta Horizon \u00b7 pancake lenses"
        },
        {
          "i": 8,
          "id": "vr-apple-vp",
          "label": "Apple Vision Pro class",
          "cluster": "device",
          "kind": "vr-resolution",
          "stack": "device",
          "note": "visionOS \u00b7 high PPI"
        },
        {
          "i": 9,
          "id": "form-hmd",
          "label": "VR / XR headset",
          "cluster": "device",
          "kind": "formfactor",
          "stack": "device",
          "note": "Quest \u00b7 Vive \u00b7 Vision Pro"
        },
        {
          "i": 10,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=vr-resolutions"
    },
    {
      "id": "us-map-layers",
      "label": "US map layers (Figma us.map)",
      "teach": "Time zones \u00b7 voter districts \u00b7 ARPANET heritage \u00b7 Starbase \u00b7 Memphis Colossus.",
      "family": "other",
      "budgetMs": 0.0,
      "budgetMin": 5,
      "hops": 7,
      "steps": [
        {
          "i": 1,
          "id": "geo-us-tz",
          "label": "US time zones",
          "cluster": "geo",
          "kind": "geo",
          "stack": "geo",
          "note": "Pacific \u00b7 Mountain \u00b7 Central \u00b7 Eastern \u00b7 Alaska \u00b7 Hawaii"
        },
        {
          "i": 2,
          "id": "geo-us-voter",
          "label": "US voter / congressional districts",
          "cluster": "geo",
          "kind": "geo",
          "stack": "geo",
          "note": "District mapping layer"
        },
        {
          "i": 3,
          "id": "geo-arpanet",
          "label": "ARPANET heritage",
          "cluster": "geo",
          "kind": "geo",
          "stack": "geo",
          "note": "Early net topology class"
        },
        {
          "i": 4,
          "id": "geo-starbase",
          "label": "Starbase / SBX pin",
          "cluster": "geo",
          "kind": "geo",
          "stack": "geo",
          "note": "SpaceX Texas site class"
        },
        {
          "i": 5,
          "id": "geo-memphis",
          "label": "Memphis Colossus site",
          "cluster": "geo",
          "kind": "geo",
          "stack": "geo",
          "note": "xAI train campus class"
        },
        {
          "i": 6,
          "id": "factory-colossus",
          "label": "Colossus (factory)",
          "cluster": "factory",
          "kind": "factory",
          "stack": "factory",
          "note": "NVIDIA H100/H200/GB200 class \u00b7 Spectrum-X \u00b7 train/serve Grok-class"
        },
        {
          "i": 7,
          "id": "prod-spacex",
          "label": "SpaceX",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Launch \u00b7 Starship \u00b7 ops \u00b7 code: flight SW, telemetry, ops UI web, ground systems"
        }
      ],
      "url": "https://code.ugrad.ai/?route=us-map-layers"
    },
    {
      "id": "company-search-github",
      "label": "Search GitHub \u2192 stack + code outline",
      "teach": "GitHub org \u2192 units \u2192 code/tool stack \u2192 Azure/MSFT parent \u2192 devices.",
      "family": "other",
      "budgetMs": 16.0,
      "budgetMin": 5,
      "hops": 8,
      "steps": [
        {
          "i": 1,
          "id": "org-github",
          "label": "GitHub",
          "cluster": "orgstruct",
          "kind": "org",
          "stack": "orgstruct",
          "note": "Dev platform under Microsoft \u00b7 stack: Ruby class legacy, Go services, TypeScript"
        },
        {
          "i": 2,
          "id": "gh-repos",
          "label": "Repositories / git",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "Source of truth"
        },
        {
          "i": 3,
          "id": "gh-actions",
          "label": "Actions CI/CD",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "Workflows \u00b7 runners"
        },
        {
          "i": 4,
          "id": "gh-copilot",
          "label": "Copilot",
          "cluster": "orgstruct",
          "kind": "orgunit",
          "stack": "orgstruct",
          "note": "AI pair \u00b7 agent coding"
        },
        {
          "i": 5,
          "id": "org-msft",
          "label": "Microsoft",
          "cluster": "orgstruct",
          "kind": "org",
          "stack": "orgstruct",
          "note": "Parent of GitHub \u00b7 Azure \u00b7 VS Code \u00b7 stack: C#/.NET, TypeScript, C++"
        },
        {
          "i": 6,
          "id": "cloud-azure",
          "label": "Azure",
          "cluster": "cloud",
          "kind": "cloud",
          "stack": "cloud",
          "note": "Microsoft Azure \u00b7 stack: C#, TypeScript, Python"
        },
        {
          "i": 7,
          "id": "dev-chrome",
          "label": "Chrome / Edge (Blink)",
          "cluster": "device",
          "kind": "browser",
          "stack": "device",
          "note": "Chromium \u00b7 WebGPU/WebGL"
        },
        {
          "i": 8,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=company-search-github"
    },
    {
      "id": "company-search-xai",
      "label": "Search xAI/Grok \u2192 stack + code outline",
      "teach": "xAI \u2192 Grok/Imagine/Colossus \u2192 code stack \u2192 Composer \u2192 browser devices.",
      "family": "other",
      "budgetMs": 16.0,
      "budgetMin": 5,
      "hops": 8,
      "steps": [
        {
          "i": 1,
          "id": "org-xai",
          "label": "xAI",
          "cluster": "orgstruct",
          "kind": "org",
          "stack": "orgstruct",
          "note": "Grok \u00b7 Imagine \u00b7 Colossus \u00b7 research \u00b7 stack: Python train, Rust/C++ serve class, TS clients"
        },
        {
          "i": 2,
          "id": "prod-grok",
          "label": "Grok",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "xAI chat \u00b7 reason \u00b7 tools \u00b7 code: TypeScript/JS, Python, Rust class, React/web"
        },
        {
          "i": 3,
          "id": "prod-imagine",
          "label": "Imagine",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "xAI image/video gen \u00b7 code: Python train, diffusion/video class, TS web viewer, WASM/WebGPU paint"
        },
        {
          "i": 4,
          "id": "factory-colossus",
          "label": "Colossus (factory)",
          "cluster": "factory",
          "kind": "factory",
          "stack": "factory",
          "note": "NVIDIA H100/H200/GB200 class \u00b7 Spectrum-X \u00b7 train/serve Grok-class"
        },
        {
          "i": 5,
          "id": "agent-composer",
          "label": "Composer (Cursor)",
          "cluster": "agent",
          "kind": "agent",
          "stack": "agent",
          "note": "Scaffold \u00b7 multi-file edit \u00b7 terminal \u00b7 agents \u2192 repos"
        },
        {
          "i": 6,
          "id": "dev-chrome",
          "label": "Chrome / Edge (Blink)",
          "cluster": "device",
          "kind": "browser",
          "stack": "device",
          "note": "Chromium \u00b7 WebGPU/WebGL"
        },
        {
          "i": 7,
          "id": "form-phone",
          "label": "Phone",
          "cluster": "device",
          "kind": "formfactor",
          "stack": "device",
          "note": "Handset"
        },
        {
          "i": 8,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=company-search-xai"
    },
    {
      "id": "cf-starlink-stack-merge",
      "label": "Cloudflare \u2194 Starlink stack merge (collab, not acquisition)",
      "teach": "Knecht: bandwidth half the problem \u00b7 LEO breaks CUBIC assumptions \u00b7 joint innovate down the stack. CF quiche/CUBIC/BBR + Starlink handover/RTT/loss + LeoCC/SaTCP research \u2192 better edge for SL clients \u2192 paint.",
      "family": "spacex",
      "budgetMs": 16.0,
      "budgetMin": 5,
      "hops": 18,
      "steps": [
        {
          "i": 1,
          "id": "cloud-cf",
          "label": "Cloudflare",
          "cluster": "cloud",
          "kind": "cloud",
          "stack": "cloud",
          "note": "CDN \u00b7 edge \u00b7 workers \u00b7 DNS \u00b7 security \u00b7 stack: Rust edge, JS Workers, TS"
        },
        {
          "i": 2,
          "id": "partner-cf-starlink",
          "label": "CF \u2194 Starlink partnership",
          "cluster": "partnership",
          "kind": "partnership",
          "stack": "partnership",
          "note": "Engineering collab \u00b7 LEO CCA \u201call the way down the stack\u201d \u00b7 NOT acquisition \u00b7 Musk forwarded Knecht post to @Starlink"
        },
        {
          "i": 3,
          "id": "prod-starlink",
          "label": "Starlink",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "LEO broadband product \u00b7 code: embedded C/C++/Rust class, Go/services, mobile apps, NOC dashboards"
        },
        {
          "i": 4,
          "id": "cf-quiche",
          "label": "quiche (CF QUIC)",
          "cluster": "partnership",
          "kind": "cfstack",
          "stack": "partnership",
          "note": "Open-source QUIC \u00b7 default CUBIC CCA"
        },
        {
          "i": 5,
          "id": "cca-cubic",
          "label": "CUBIC / Reno",
          "cluster": "partnership",
          "kind": "cca",
          "stack": "partnership",
          "note": "Default many kernels + quiche \u00b7 often worst LEO throughput"
        },
        {
          "i": 6,
          "id": "sl-handover",
          "label": "Handover / beam switch",
          "cluster": "partnership",
          "kind": "slstack",
          "stack": "partnership",
          "note": "~15s class periodicity \u00b7 12/27/42/57s patterns"
        },
        {
          "i": 7,
          "id": "sl-rtt",
          "label": "Variable RTT / jitter",
          "cluster": "partnership",
          "kind": "slstack",
          "stack": "partnership",
          "note": "Path reconfig \u00b7 non-stable RTT"
        },
        {
          "i": 8,
          "id": "sl-loss",
          "label": "Non-congestive loss",
          "cluster": "partnership",
          "kind": "slstack",
          "stack": "partnership",
          "note": "Handover/radio \u00b7 NOT queue overflow"
        },
        {
          "i": 9,
          "id": "cca-leocc",
          "label": "LeoCC",
          "cluster": "partnership",
          "kind": "cca",
          "stack": "partnership",
          "note": "BBR-inspired \u00b7 detect reconfig via ACK-interval outliers \u00b7 SIGCOMM 2025 class results"
        },
        {
          "i": 10,
          "id": "cca-bbr",
          "label": "BBRv1 / BBRv3",
          "cluster": "partnership",
          "kind": "cca",
          "stack": "partnership",
          "note": "Bottleneck BW + min RTT \u00b7 stronger LEO trade-off"
        },
        {
          "i": 11,
          "id": "cf-pathclass",
          "label": "Path-type classification",
          "cluster": "partnership",
          "kind": "cfstack",
          "stack": "partnership",
          "note": "Tags LEO vs terrestrial for perf systems"
        },
        {
          "i": 12,
          "id": "cf-pop-starlink",
          "label": "Starlink-adjacent PoPs",
          "cluster": "partnership",
          "kind": "cfstack",
          "stack": "partnership",
          "note": "2023+ mini-DC / PoP expansion with SpaceX"
        },
        {
          "i": 13,
          "id": "sl-gw",
          "label": "Ground gateway / PoP",
          "cluster": "partnership",
          "kind": "slstack",
          "stack": "partnership",
          "note": "Fiber handoff to internet"
        },
        {
          "i": 14,
          "id": "cf-cdn",
          "label": "CDN / cache",
          "cluster": "partnership",
          "kind": "cfstack",
          "stack": "partnership",
          "note": "Anycast edge \u00b7 cache hit path"
        },
        {
          "i": 15,
          "id": "cf-workers",
          "label": "Workers edge compute",
          "cluster": "partnership",
          "kind": "cfstack",
          "stack": "partnership",
          "note": "V8 isolates at PoP"
        },
        {
          "i": 16,
          "id": "form-dish",
          "label": "Starlink terminal",
          "cluster": "device",
          "kind": "formfactor",
          "stack": "device",
          "note": "User dish / router"
        },
        {
          "i": 17,
          "id": "dev-chrome",
          "label": "Chrome / Edge (Blink)",
          "cluster": "device",
          "kind": "browser",
          "stack": "device",
          "note": "Chromium \u00b7 WebGPU/WebGL"
        },
        {
          "i": 18,
          "id": "qb-paint",
          "label": "Paint / RNDR frame",
          "cluster": "qbinary",
          "kind": "qbinary",
          "stack": "qbinary",
          "note": "L5 16ms \u00b7 pixels out"
        }
      ],
      "url": "https://code.ugrad.ai/?route=cf-starlink-stack-merge"
    },
    {
      "id": "cf-starlink-cca-ladder",
      "label": "LEO congestion control ladder (CUBIC\u2192BBR\u2192LeoCC)",
      "teach": "Why terrestrial CCAs fail on LEO; progression to LEO-aware algorithms.",
      "family": "spacex",
      "budgetMs": 0.0,
      "budgetMin": 5,
      "hops": 9,
      "steps": [
        {
          "i": 1,
          "id": "cca-cubic",
          "label": "CUBIC / Reno",
          "cluster": "partnership",
          "kind": "cca",
          "stack": "partnership",
          "note": "Default many kernels + quiche \u00b7 often worst LEO throughput"
        },
        {
          "i": 2,
          "id": "cca-vegas",
          "label": "Vegas / Copa",
          "cluster": "partnership",
          "kind": "cca",
          "stack": "partnership",
          "note": "Delay-based \u00b7 RTT spikes \u2192 underutilize"
        },
        {
          "i": 3,
          "id": "cca-bbr",
          "label": "BBRv1 / BBRv3",
          "cluster": "partnership",
          "kind": "cca",
          "stack": "partnership",
          "note": "Bottleneck BW + min RTT \u00b7 stronger LEO trade-off"
        },
        {
          "i": 4,
          "id": "cca-leocubic",
          "label": "LEO-CUBIC",
          "cluster": "partnership",
          "kind": "cca",
          "stack": "partnership",
          "note": "CUBIC + ~15s periodicity awareness"
        },
        {
          "i": 5,
          "id": "cca-satcp",
          "label": "SaTCP / StarQUIC",
          "cluster": "partnership",
          "kind": "cca",
          "stack": "partnership",
          "note": "Predict handover \u00b7 freeze cwnd/tx"
        },
        {
          "i": 6,
          "id": "cca-leocc",
          "label": "LeoCC",
          "cluster": "partnership",
          "kind": "cca",
          "stack": "partnership",
          "note": "BBR-inspired \u00b7 detect reconfig via ACK-interval outliers \u00b7 SIGCOMM 2025 class results"
        },
        {
          "i": 7,
          "id": "cca-orbcc",
          "label": "OrbCC",
          "cluster": "partnership",
          "kind": "cca",
          "stack": "partnership",
          "note": "In-network per-hop signals"
        },
        {
          "i": 8,
          "id": "sl-handover",
          "label": "Handover / beam switch",
          "cluster": "partnership",
          "kind": "slstack",
          "stack": "partnership",
          "note": "~15s class periodicity \u00b7 12/27/42/57s patterns"
        },
        {
          "i": 9,
          "id": "partner-cf-starlink",
          "label": "CF \u2194 Starlink partnership",
          "cluster": "partnership",
          "kind": "partnership",
          "stack": "partnership",
          "note": "Engineering collab \u00b7 LEO CCA \u201call the way down the stack\u201d \u00b7 NOT acquisition \u00b7 Musk forwarded Knecht post to @Starlink"
        }
      ],
      "url": "https://code.ugrad.ai/?route=cf-starlink-cca-ladder"
    },
    {
      "id": "hyp-cf-buyout-outline",
      "label": "Hypothetical CF buyout outline only (NO deal)",
      "teach": "Market ~$107\u2013110B \u00b7 $130B+ premium \u00b7 vertical Starlink+CDN \u00b7 regulation \u00b7 NOT current reality.",
      "family": "cloud",
      "budgetMs": 0.0,
      "budgetMin": 5,
      "hops": 5,
      "steps": [
        {
          "i": 1,
          "id": "hyp-cf-acq",
          "label": "Hypothetical CF acquisition (speculative only)",
          "cluster": "partnership",
          "kind": "scenario",
          "stack": "partnership",
          "note": "NO deal \u00b7 market cap ~$107\u2013110B \u00b7 full buyout would be $130B+ premium class \u00b7 stock-finance possible only at SpaceX scale \u00b7 zero public intent"
        },
        {
          "i": 2,
          "id": "cloud-cf",
          "label": "Cloudflare",
          "cluster": "cloud",
          "kind": "cloud",
          "stack": "cloud",
          "note": "CDN \u00b7 edge \u00b7 workers \u00b7 DNS \u00b7 security \u00b7 stack: Rust edge, JS Workers, TS"
        },
        {
          "i": 3,
          "id": "prod-starlink",
          "label": "Starlink",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "LEO broadband product \u00b7 code: embedded C/C++/Rust class, Go/services, mobile apps, NOC dashboards"
        },
        {
          "i": 4,
          "id": "org-spacex",
          "label": "SpaceX",
          "cluster": "orgstruct",
          "kind": "org",
          "stack": "orgstruct",
          "note": "Launch \u00b7 Starship \u00b7 Starlink \u00b7 ops \u00b7 stack: flight software, telemetry, ops web"
        },
        {
          "i": 5,
          "id": "partner-cf-starlink",
          "label": "CF \u2194 Starlink partnership",
          "cluster": "partnership",
          "kind": "partnership",
          "stack": "partnership",
          "note": "Engineering collab \u00b7 LEO CCA \u201call the way down the stack\u201d \u00b7 NOT acquisition \u00b7 Musk forwarded Knecht post to @Starlink"
        }
      ],
      "url": "https://code.ugrad.ai/?route=hyp-cf-buyout-outline"
    },
    {
      "id": "lane-plane-rails",
      "label": "LANE plane rails (map-hub)",
      "teach": "LOCAL\u2192GOV\u2192MAIN\u2192EDU\u00b7STKS\u00b7SPACE \u00b7 house hops \u2192 CF edge",
      "family": "lane",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 8,
      "steps": [
        {
          "i": 1,
          "id": "lane-local",
          "label": "LOCAL plane",
          "cluster": "lane",
          "kind": "lane",
          "stack": "lane",
          "note": "House \u00b7 survival stack \u00b7 route \u00b7 3116 class"
        },
        {
          "i": 2,
          "id": "lane-gov",
          "label": "GOV plane",
          "cluster": "lane",
          "kind": "lane",
          "stack": "lane",
          "note": "Agencies \u00b7 RIR \u00b7 ICANN \u00b7 LARK"
        },
        {
          "i": 3,
          "id": "lane-main",
          "label": "MAIN plane",
          "cluster": "lane",
          "kind": "lane",
          "stack": "lane",
          "note": "Internet fabric \u00b7 cables \u00b7 Cloudflare edges"
        },
        {
          "i": 4,
          "id": "lane-edu",
          "label": "EDU plane",
          "cluster": "lane",
          "kind": "lane",
          "stack": "lane",
          "note": "Campus \u00b7 research nets"
        },
        {
          "i": 5,
          "id": "lane-stks",
          "label": "STKS plane",
          "cluster": "lane",
          "kind": "lane",
          "stack": "lane",
          "note": "Markets \u00b7 exchanges \u00b7 monetary"
        },
        {
          "i": 6,
          "id": "lane-space",
          "label": "SPACE plane",
          "cluster": "lane",
          "kind": "lane",
          "stack": "lane",
          "note": "Starlink \u00b7 LEO \u00b7 spectrum"
        },
        {
          "i": 7,
          "id": "lane-hop-cf",
          "label": "H7 Cloudflare edge",
          "cluster": "lane",
          "kind": "lane",
          "stack": "lane",
          "note": "CDN/anycast edge \u00b7 hop 7"
        },
        {
          "i": 8,
          "id": "lane-hop-dns",
          "label": "H8 1.1.1.1 DNS",
          "cluster": "lane",
          "kind": "lane",
          "stack": "lane",
          "note": "Resolver \u00b7 hop 8"
        }
      ],
      "url": "https://code.ugrad.ai/?route=lane-plane-rails"
    },
    {
      "id": "skill-harness-core",
      "label": "Core skills harness",
      "teach": "Media + map + MG + AI skills that agents wire into architecture",
      "family": "ai",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 12,
      "steps": [
        {
          "i": 1,
          "id": "skill-drone",
          "label": "drone",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "/drone \u00b7 fc-webgrid-drone-hud-v2"
        },
        {
          "i": 2,
          "id": "skill-fc-media-suite",
          "label": "fc-media-suite",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "Grok skill \u00b7 skills"
        },
        {
          "i": 3,
          "id": "skill-glyph",
          "label": "glyph",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "/glyph \u00b7 fc-glyph-engine-v1"
        },
        {
          "i": 4,
          "id": "skill-imagine",
          "label": "imagine",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "Grok skill \u00b7 skills"
        },
        {
          "i": 5,
          "id": "skill-language",
          "label": "language",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "/language \u00b7 ONE construct (TTY-first)"
        },
        {
          "i": 6,
          "id": "skill-map",
          "label": "map",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "/map \u00b7 fc-maptrace-v1"
        },
        {
          "i": 7,
          "id": "skill-memory-glass",
          "label": "memory-glass",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "Memory Glass skill"
        },
        {
          "i": 8,
          "id": "skill-mg-dispatch",
          "label": "mg-dispatch",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "Memory Glass dispatch skill"
        },
        {
          "i": 9,
          "id": "skill-watch",
          "label": "watch",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "/watch \u00b7 fc-live-demux-v1"
        },
        {
          "i": 10,
          "id": "skill-webgrid",
          "label": "webgrid",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "/webgrid \u00b7 fc-webgrid-tty-v1"
        },
        {
          "i": 11,
          "id": "skill-build-with-ai",
          "label": "build-with-ai",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "Grok skill \u00b7 skills"
        },
        {
          "i": 12,
          "id": "skill-create-workflow",
          "label": "create-workflow",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "Grok skill \u00b7 skills"
        }
      ],
      "url": "https://code.ugrad.ai/?route=skill-harness-core"
    },
    {
      "id": "arena-agent-top",
      "label": "Arena agent leaderboard (top harness peers)",
      "teach": "Top arena.ai agents + Grok class for harness design comparison",
      "family": "ai",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 12,
      "steps": [
        {
          "i": 1,
          "id": "arena-claude-opus-5-max",
          "label": "Claude Opus 5 (Max)",
          "cluster": "agentlab",
          "kind": "agent",
          "stack": "agentlab",
          "note": "Arena agent rank #1 \u00b7 Anthropic \u00b7 score 0.1636 \u00b7 Proprietary"
        },
        {
          "i": 2,
          "id": "arena-claude-opus-5-high",
          "label": "Claude Opus 5 (High)",
          "cluster": "agentlab",
          "kind": "agent",
          "stack": "agentlab",
          "note": "Arena agent rank #2 \u00b7 Anthropic \u00b7 score 0.1604 \u00b7 Proprietary"
        },
        {
          "i": 3,
          "id": "arena-kimi-k3-max",
          "label": "Kimi K3 (Max)",
          "cluster": "agentlab",
          "kind": "agent",
          "stack": "agentlab",
          "note": "Arena agent rank #3 \u00b7 Moonshot \u00b7 score 0.1497 \u00b7 Kimi K3 license"
        },
        {
          "i": 4,
          "id": "arena-claude-fable-5-high",
          "label": "Claude Fable 5 (High)",
          "cluster": "agentlab",
          "kind": "agent",
          "stack": "agentlab",
          "note": "Arena agent rank #4 \u00b7 Anthropic \u00b7 score 0.1147 \u00b7 Proprietary"
        },
        {
          "i": 5,
          "id": "arena-glm-5-2-max",
          "label": "GLM 5.2 (Max)",
          "cluster": "agentlab",
          "kind": "agent",
          "stack": "agentlab",
          "note": "Arena agent rank #5 \u00b7 Z.ai \u00b7 score 0.0921 \u00b7 MIT"
        },
        {
          "i": 6,
          "id": "arena-gpt-5-6-sol-xhigh",
          "label": "GPT 5.6 Sol (xHigh)",
          "cluster": "agentlab",
          "kind": "agent",
          "stack": "agentlab",
          "note": "Arena agent rank #6 \u00b7 OpenAI \u00b7 score 0.0906 \u00b7 Proprietary"
        },
        {
          "i": 7,
          "id": "arena-claude-opus-4-8-thinking",
          "label": "Claude Opus 4.8 (Thinking)",
          "cluster": "agentlab",
          "kind": "agent",
          "stack": "agentlab",
          "note": "Arena agent rank #7 \u00b7 Anthropic \u00b7 score 0.0881 \u00b7 Proprietary"
        },
        {
          "i": 8,
          "id": "arena-claude-opus-4-8",
          "label": "Claude Opus 4.8",
          "cluster": "agentlab",
          "kind": "agent",
          "stack": "agentlab",
          "note": "Arena agent rank #8 \u00b7 Anthropic \u00b7 score 0.0878 \u00b7 Proprietary"
        },
        {
          "i": 9,
          "id": "arena-deepseek-v4-flash-high-20260731",
          "label": "Deepseek V4 Flash (High) (20260731)",
          "cluster": "agentlab",
          "kind": "agent",
          "stack": "agentlab",
          "note": "Arena agent rank #9 \u00b7 DeepSeek \u00b7 score 0.0853 \u00b7 MIT"
        },
        {
          "i": 10,
          "id": "arena-claude-opus-4-7-thinking",
          "label": "Claude Opus 4.7 (Thinking)",
          "cluster": "agentlab",
          "kind": "agent",
          "stack": "agentlab",
          "note": "Arena agent rank #10 \u00b7 Anthropic \u00b7 score 0.0665 \u00b7 Proprietary"
        },
        {
          "i": 11,
          "id": "arena-muse-spark-1-1",
          "label": "Muse Spark 1.1",
          "cluster": "agentlab",
          "kind": "agent",
          "stack": "agentlab",
          "note": "Arena agent rank #11 \u00b7 Meta \u00b7 score 0.0614 \u00b7 Proprietary"
        },
        {
          "i": 12,
          "id": "arena-claude-sonnet-5-high",
          "label": "Claude Sonnet 5 (High)",
          "cluster": "agentlab",
          "kind": "agent",
          "stack": "agentlab",
          "note": "Arena agent rank #12 \u00b7 Anthropic \u00b7 score 0.0556 \u00b7 Proprietary"
        }
      ],
      "url": "https://code.ugrad.ai/?route=arena-agent-top"
    },
    {
      "id": "mt-lang-models",
      "label": "lang.ugrad MT model ladder",
      "teach": "Translation engines by skill% \u00b7 language desk harness",
      "family": "ai",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 11,
      "steps": [
        {
          "i": 1,
          "id": "mt-nllb-200",
          "label": "NLLB-200 (distilled)",
          "cluster": "mtmodel",
          "kind": "mtmodel",
          "stack": "mtmodel",
          "note": "lang.ugrad MT \u00b7 class nmt \u00b7 skill% 94 \u00b7 weights on disk \u00b7 wire local runner into zen next"
        },
        {
          "i": 2,
          "id": "mt-qwen3-8b",
          "label": "Qwen3 8B",
          "cluster": "mtmodel",
          "kind": "mtmodel",
          "stack": "mtmodel",
          "note": "lang.ugrad MT \u00b7 class instruct-llm \u00b7 skill% 92"
        },
        {
          "i": 3,
          "id": "mt-kimi-k2",
          "label": "Kimi K2 / K2.6 (Moonshot)",
          "cluster": "mtmodel",
          "kind": "mtmodel",
          "stack": "mtmodel",
          "note": "lang.ugrad MT \u00b7 class frontier-llm \u00b7 skill% 91 \u00b7 frontier estimate \u00b7 optional CF \u00b7 not bulk fanout"
        },
        {
          "i": 4,
          "id": "mt-m2m100-1-2b",
          "label": "M2M100 1.2B",
          "cluster": "mtmodel",
          "kind": "mtmodel",
          "stack": "mtmodel",
          "note": "lang.ugrad MT \u00b7 class nmt \u00b7 skill% 90"
        },
        {
          "i": 5,
          "id": "mt-indictrans2",
          "label": "IndicTrans2",
          "cluster": "mtmodel",
          "kind": "mtmodel",
          "stack": "mtmodel",
          "note": "lang.ugrad MT \u00b7 class nmt \u00b7 skill% 88 \u00b7 expected skill on Indic seats when installed \u00b7 specialist not world pack"
        },
        {
          "i": 6,
          "id": "mt-mistral-latest",
          "label": "Mistral 7B",
          "cluster": "mtmodel",
          "kind": "mtmodel",
          "stack": "mtmodel",
          "note": "lang.ugrad MT \u00b7 class instruct-llm \u00b7 skill% 78"
        },
        {
          "i": 7,
          "id": "mt-llama-3-1-8b-instruct-fp8",
          "label": "Llama 3.1 8B Instruct FP8",
          "cluster": "mtmodel",
          "kind": "mtmodel",
          "stack": "mtmodel",
          "note": "lang.ugrad MT \u00b7 class instruct-llm \u00b7 skill% 72"
        },
        {
          "i": 8,
          "id": "mt-granite3-2-latest",
          "label": "Granite 3.2",
          "cluster": "mtmodel",
          "kind": "mtmodel",
          "stack": "mtmodel",
          "note": "lang.ugrad MT \u00b7 class instruct-llm \u00b7 skill% 62"
        },
        {
          "i": 9,
          "id": "mt-mymemory",
          "label": "MyMemory free API",
          "cluster": "mtmodel",
          "kind": "mtmodel",
          "stack": "mtmodel",
          "note": "lang.ugrad MT \u00b7 class mt-api \u00b7 skill% 55"
        },
        {
          "i": 10,
          "id": "mt-deepseek-r1-7b",
          "label": "DeepSeek R1 7B",
          "cluster": "mtmodel",
          "kind": "mtmodel",
          "stack": "mtmodel",
          "note": "lang.ugrad MT \u00b7 class reasoning-llm \u00b7 skill% 40"
        },
        {
          "i": 11,
          "id": "mt-llama3-2-1b",
          "label": "Llama 3.2 1B",
          "cluster": "mtmodel",
          "kind": "mtmodel",
          "stack": "mtmodel",
          "note": "lang.ugrad MT \u00b7 class tiny-llm \u00b7 skill% 25"
        }
      ],
      "url": "https://code.ugrad.ai/?route=mt-lang-models"
    },
    {
      "id": "agent-skill-lane-arch",
      "label": "Agent \u2192 skill \u2192 lane architecture",
      "teach": "How arena/agent nodes bind skills and map-hub lanes into a data harness",
      "family": "ai",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 9,
      "steps": [
        {
          "i": 1,
          "id": "arena-grok-4-5",
          "label": "Grok 4.5",
          "cluster": "agentlab",
          "kind": "agent",
          "stack": "agentlab",
          "note": "Arena agent rank #15 \u00b7 SpaceXAI \u00b7 score 0.0500 \u00b7 Proprietary"
        },
        {
          "i": 2,
          "id": "skill-language",
          "label": "language",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "/language \u00b7 ONE construct (TTY-first)"
        },
        {
          "i": 3,
          "id": "skill-map",
          "label": "map",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "/map \u00b7 fc-maptrace-v1"
        },
        {
          "i": 4,
          "id": "skill-build-with-ai",
          "label": "build-with-ai",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "Grok skill \u00b7 skills"
        },
        {
          "i": 5,
          "id": "skill-create-workflow",
          "label": "create-workflow",
          "cluster": "skill",
          "kind": "skill",
          "stack": "skill",
          "note": "Grok skill \u00b7 skills"
        },
        {
          "i": 6,
          "id": "lane-main",
          "label": "MAIN plane",
          "cluster": "lane",
          "kind": "lane",
          "stack": "lane",
          "note": "Internet fabric \u00b7 cables \u00b7 Cloudflare edges"
        },
        {
          "i": 7,
          "id": "lane-local",
          "label": "LOCAL plane",
          "cluster": "lane",
          "kind": "lane",
          "stack": "lane",
          "note": "House \u00b7 survival stack \u00b7 route \u00b7 3116 class"
        },
        {
          "i": 8,
          "id": "lane-space",
          "label": "SPACE plane",
          "cluster": "lane",
          "kind": "lane",
          "stack": "lane",
          "note": "Starlink \u00b7 LEO \u00b7 spectrum"
        },
        {
          "i": 9,
          "id": "partner-cf-starlink",
          "label": "CF \u2194 Starlink partnership",
          "cluster": "partnership",
          "kind": "partnership",
          "stack": "partnership",
          "note": "Engineering collab \u00b7 LEO CCA \u201call the way down the stack\u201d \u00b7 NOT acquisition \u00b7 Musk forwarded Knecht post to @Starlink"
        }
      ],
      "url": "https://code.ugrad.ai/?route=agent-skill-lane-arch"
    },
    {
      "id": "ai-frontier-products",
      "label": "AI tech sector \u00b7 frontier products",
      "teach": "Major AI companies pushing bounds: labs + infra + agents + physical AI. Map product layer.",
      "family": "ai",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 15,
      "steps": [
        {
          "i": 1,
          "id": "prod-grok",
          "label": "Grok",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "xAI chat \u00b7 reason \u00b7 tools \u00b7 code: TypeScript/JS, Python, Rust class, React/web"
        },
        {
          "i": 2,
          "id": "prod-chatgpt",
          "label": "ChatGPT / GPT",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "OpenAI consumer+API frontier \u00b7 o/GPT series \u00b7 agents"
        },
        {
          "i": 3,
          "id": "prod-claude",
          "label": "Claude",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Anthropic constitutional AI \u00b7 Opus/Sonnet agent class"
        },
        {
          "i": 4,
          "id": "prod-gemini",
          "label": "Gemini",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Google DeepMind multimodal frontier \u00b7 Ultra/Pro/Flash"
        },
        {
          "i": 5,
          "id": "prod-llama",
          "label": "Llama",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Meta open-weight frontier \u00b7 Llama + agent stacks"
        },
        {
          "i": 6,
          "id": "prod-copilot-ms",
          "label": "Microsoft Copilot",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "M365 + Windows + GitHub Copilot plane"
        },
        {
          "i": 7,
          "id": "prod-nvidia-nim",
          "label": "NVIDIA NIM / AI Enterprise",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Inference microservices \u00b7 CUDA stack \u00b7 NIM"
        },
        {
          "i": 8,
          "id": "prod-deepseek",
          "label": "DeepSeek",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "DeepSeek V/R series \u00b7 agent + code cost leaders"
        },
        {
          "i": 9,
          "id": "prod-mistral",
          "label": "Mistral models",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Mistral Large/Codestral \u00b7 open+API EU frontier"
        },
        {
          "i": 10,
          "id": "prod-qwen",
          "label": "Qwen",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Alibaba Qwen Max/Plus \u00b7 multilingual agents"
        },
        {
          "i": 11,
          "id": "prod-cursor",
          "label": "Cursor",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "AI-native IDE \u00b7 Composer \u00b7 background agents"
        },
        {
          "i": 12,
          "id": "prod-devin",
          "label": "Devin",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Autonomous software engineer agent product"
        },
        {
          "i": 13,
          "id": "prod-hf-hub",
          "label": "HF Hub / transformers",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Open model hub \u00b7 peft \u00b7 TGI \u00b7 Spaces"
        },
        {
          "i": 14,
          "id": "prod-figure-helix",
          "label": "Figure Helix",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Humanoid VLA / robot product stack"
        },
        {
          "i": 15,
          "id": "prod-waymo-driver",
          "label": "Waymo Driver",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "L4 robotaxi stack product"
        }
      ],
      "url": "https://code.ugrad.ai/?route=ai-frontier-products"
    },
    {
      "id": "ai-labs-us",
      "label": "US frontier labs ladder",
      "teach": "xAI \u00b7 OpenAI \u00b7 Anthropic \u00b7 Google DeepMind \u00b7 Meta \u00b7 Microsoft",
      "family": "ai",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 7,
      "steps": [
        {
          "i": 1,
          "id": "prod-grok",
          "label": "Grok",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "xAI chat \u00b7 reason \u00b7 tools \u00b7 code: TypeScript/JS, Python, Rust class, React/web"
        },
        {
          "i": 2,
          "id": "prod-chatgpt",
          "label": "ChatGPT / GPT",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "OpenAI consumer+API frontier \u00b7 o/GPT series \u00b7 agents"
        },
        {
          "i": 3,
          "id": "prod-claude",
          "label": "Claude",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Anthropic constitutional AI \u00b7 Opus/Sonnet agent class"
        },
        {
          "i": 4,
          "id": "prod-gemini",
          "label": "Gemini",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Google DeepMind multimodal frontier \u00b7 Ultra/Pro/Flash"
        },
        {
          "i": 5,
          "id": "prod-llama",
          "label": "Llama",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Meta open-weight frontier \u00b7 Llama + agent stacks"
        },
        {
          "i": 6,
          "id": "prod-copilot-ms",
          "label": "Microsoft Copilot",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "M365 + Windows + GitHub Copilot plane"
        },
        {
          "i": 7,
          "id": "prod-azure-ai",
          "label": "Azure AI / MAI",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Azure OpenAI + MAI models + enterprise agents"
        }
      ],
      "url": "https://code.ugrad.ai/?route=ai-labs-us"
    },
    {
      "id": "ai-infra-compute",
      "label": "AI compute / inference infra",
      "teach": "NVIDIA \u00b7 Groq \u00b7 Cerebras \u00b7 HF Hub \u00b7 Bedrock \u00b7 Azure AI",
      "family": "ai",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 7,
      "steps": [
        {
          "i": 1,
          "id": "prod-nvidia-nim",
          "label": "NVIDIA NIM / AI Enterprise",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Inference microservices \u00b7 CUDA stack \u00b7 NIM"
        },
        {
          "i": 2,
          "id": "prod-omniverse",
          "label": "Omniverse / Cosmos",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Simulation + world models \u00b7 robotics/digital twin"
        },
        {
          "i": 3,
          "id": "prod-groq-lpu",
          "label": "GroqCloud LPU",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Ultra-low-latency inference product"
        },
        {
          "i": 4,
          "id": "prod-cerebras-wafer",
          "label": "Cerebras Cloud",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Wafer-scale training/inference product"
        },
        {
          "i": 5,
          "id": "prod-hf-hub",
          "label": "HF Hub / transformers",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Open model hub \u00b7 peft \u00b7 TGI \u00b7 Spaces"
        },
        {
          "i": 6,
          "id": "prod-bedrock",
          "label": "Amazon Bedrock",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Multi-model AWS bedrock + agents + Trainium path"
        },
        {
          "i": 7,
          "id": "prod-azure-ai",
          "label": "Azure AI / MAI",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Azure OpenAI + MAI models + enterprise agents"
        }
      ],
      "url": "https://code.ugrad.ai/?route=ai-infra-compute"
    },
    {
      "id": "ai-agents-coding",
      "label": "Coding / agent products",
      "teach": "Cursor \u00b7 Devin \u00b7 Replit \u00b7 Copilot \u00b7 Claude \u00b7 ChatGPT",
      "family": "ai",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 7,
      "steps": [
        {
          "i": 1,
          "id": "prod-cursor",
          "label": "Cursor",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "AI-native IDE \u00b7 Composer \u00b7 background agents"
        },
        {
          "i": 2,
          "id": "prod-devin",
          "label": "Devin",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Autonomous software engineer agent product"
        },
        {
          "i": 3,
          "id": "prod-replit-agent",
          "label": "Replit Agent",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "IDE-native coding agent + runtime"
        },
        {
          "i": 4,
          "id": "prod-copilot-gh",
          "label": "GitHub Copilot",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "IDE+PR agent coding product"
        },
        {
          "i": 5,
          "id": "prod-claude",
          "label": "Claude",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Anthropic constitutional AI \u00b7 Opus/Sonnet agent class"
        },
        {
          "i": 6,
          "id": "prod-chatgpt",
          "label": "ChatGPT / GPT",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "OpenAI consumer+API frontier \u00b7 o/GPT series \u00b7 agents"
        },
        {
          "i": 7,
          "id": "agent-composer",
          "label": "Composer (Cursor)",
          "cluster": "agent",
          "kind": "agent",
          "stack": "agent",
          "note": "Scaffold \u00b7 multi-file edit \u00b7 terminal \u00b7 agents \u2192 repos"
        }
      ],
      "url": "https://code.ugrad.ai/?route=ai-agents-coding"
    },
    {
      "id": "ai-physical",
      "label": "Physical AI \u00b7 robots \u00b7 autonomy",
      "teach": "Optimus \u00b7 Figure \u00b7 Waymo \u00b7 Anduril \u00b7 FSD",
      "family": "ai",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 6,
      "steps": [
        {
          "i": 1,
          "id": "prod-optimus",
          "label": "Optimus",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Humanoid robot product \u00b7 code: C++/Python robotics, sim, vision train (Dojo), fleet tools TS"
        },
        {
          "i": 2,
          "id": "prod-figure-helix",
          "label": "Figure Helix",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Humanoid VLA / robot product stack"
        },
        {
          "i": 3,
          "id": "prod-waymo-driver",
          "label": "Waymo Driver",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "L4 robotaxi stack product"
        },
        {
          "i": 4,
          "id": "prod-anduril-lattice",
          "label": "Anduril Lattice",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Defense autonomy OS + AI kill chain class"
        },
        {
          "i": 5,
          "id": "prod-fsd",
          "label": "FSD / Autopilot",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Vehicle autonomy product"
        },
        {
          "i": 6,
          "id": "prod-dojo",
          "label": "Dojo train fabric",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Tesla Dojo / AI training for FSD+Optimus"
        }
      ],
      "url": "https://code.ugrad.ai/?route=ai-physical"
    },
    {
      "id": "ai-global-open",
      "label": "Global + open frontier",
      "teach": "DeepSeek \u00b7 Qwen \u00b7 Mistral \u00b7 Kimi \u00b7 GLM \u00b7 Llama \u00b7 HF",
      "family": "ai",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 7,
      "steps": [
        {
          "i": 1,
          "id": "prod-deepseek",
          "label": "DeepSeek",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "DeepSeek V/R series \u00b7 agent + code cost leaders"
        },
        {
          "i": 2,
          "id": "prod-qwen",
          "label": "Qwen",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Alibaba Qwen Max/Plus \u00b7 multilingual agents"
        },
        {
          "i": 3,
          "id": "prod-mistral",
          "label": "Mistral models",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Mistral Large/Codestral \u00b7 open+API EU frontier"
        },
        {
          "i": 4,
          "id": "prod-kimi",
          "label": "Kimi",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Moonshot long-context agent product"
        },
        {
          "i": 5,
          "id": "prod-glm",
          "label": "GLM",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Zhipu GLM frontier chat/agent"
        },
        {
          "i": 6,
          "id": "prod-llama",
          "label": "Llama",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Meta open-weight frontier \u00b7 Llama + agent stacks"
        },
        {
          "i": 7,
          "id": "prod-hf-hub",
          "label": "HF Hub / transformers",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Open model hub \u00b7 peft \u00b7 TGI \u00b7 Spaces"
        }
      ],
      "url": "https://code.ugrad.ai/?route=ai-global-open"
    },
    {
      "id": "github-worker-flow",
      "label": "GitHub-style worker flow \u00b7 AI product jobs",
      "teach": "Parallel jobs left\u2192right (house \u00b7 labs \u00b7 infra \u00b7 global \u00b7 agents \u00b7 physical \u00b7 enterprise). Steps top\u2192bottom inside each job.",
      "family": "worker",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 7,
      "steps": [
        {
          "i": 1,
          "id": "prod-grok",
          "label": "Grok",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "xAI chat \u00b7 reason \u00b7 tools \u00b7 code: TypeScript/JS, Python, Rust class, React/web"
        },
        {
          "i": 2,
          "id": "prod-chatgpt",
          "label": "ChatGPT / GPT",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "OpenAI consumer+API frontier \u00b7 o/GPT series \u00b7 agents"
        },
        {
          "i": 3,
          "id": "prod-nvidia-nim",
          "label": "NVIDIA NIM / AI Enterprise",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Inference microservices \u00b7 CUDA stack \u00b7 NIM"
        },
        {
          "i": 4,
          "id": "prod-deepseek",
          "label": "DeepSeek",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "DeepSeek V/R series \u00b7 agent + code cost leaders"
        },
        {
          "i": 5,
          "id": "prod-cursor",
          "label": "Cursor",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "AI-native IDE \u00b7 Composer \u00b7 background agents"
        },
        {
          "i": 6,
          "id": "prod-figure-helix",
          "label": "Figure Helix",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Humanoid VLA / robot product stack"
        },
        {
          "i": 7,
          "id": "prod-watsonx",
          "label": "IBM watsonx",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Enterprise governable AI + Granite"
        }
      ],
      "url": "https://code.ugrad.ai/?route=github-worker-flow"
    },
    {
      "id": "workflow-job-house",
      "label": "Workflow job \u00b7 House products",
      "teach": "xAI/Tesla/SpaceX product steps",
      "family": "worker",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 13,
      "steps": [
        {
          "i": 1,
          "id": "prod-grok",
          "label": "Grok",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "xAI chat \u00b7 reason \u00b7 tools \u00b7 code: TypeScript/JS, Python, Rust class, React/web"
        },
        {
          "i": 2,
          "id": "prod-imagine",
          "label": "Imagine",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "xAI image/video gen \u00b7 code: Python train, diffusion/video class, TS web viewer, WASM/WebGPU paint"
        },
        {
          "i": 3,
          "id": "prod-grokipedia",
          "label": "Grokipedia",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Knowledge / wiki surface"
        },
        {
          "i": 4,
          "id": "prod-xai-api",
          "label": "xAI API / Grok API",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Grok API \u00b7 agent traffic \u00b7 console"
        },
        {
          "i": 5,
          "id": "prod-colossus",
          "label": "Colossus train fabric",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "xAI training supercluster productized ops"
        },
        {
          "i": 6,
          "id": "prod-fsd",
          "label": "FSD / Autopilot",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Vehicle autonomy product"
        },
        {
          "i": 7,
          "id": "prod-optimus",
          "label": "Optimus",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Humanoid robot product \u00b7 code: C++/Python robotics, sim, vision train (Dojo), fleet tools TS"
        },
        {
          "i": 8,
          "id": "prod-dojo",
          "label": "Dojo train fabric",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Tesla Dojo / AI training for FSD+Optimus"
        },
        {
          "i": 9,
          "id": "prod-starlink",
          "label": "Starlink",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "LEO broadband product \u00b7 code: embedded C/C++/Rust class, Go/services, mobile apps, NOC dashboards"
        },
        {
          "i": 10,
          "id": "prod-spacex",
          "label": "SpaceX",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Launch \u00b7 Starship \u00b7 ops \u00b7 code: flight SW, telemetry, ops UI web, ground systems"
        },
        {
          "i": 11,
          "id": "prod-x",
          "label": "X",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Consumer social \u00b7 live \u00b7 code: Scala/Java class backend, TS web, mobile, live video"
        },
        {
          "i": 12,
          "id": "prod-boring",
          "label": "Boring Company",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Tunnels \u00b7 Loop product"
        },
        {
          "i": 13,
          "id": "prod-terafab",
          "label": "Terafab",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Fab / plant AI + ops class"
        }
      ],
      "url": "https://code.ugrad.ai/?route=workflow-job-house"
    },
    {
      "id": "workflow-job-us-labs",
      "label": "Workflow job \u00b7 US labs",
      "teach": "US frontier lab product steps",
      "family": "worker",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 13,
      "steps": [
        {
          "i": 1,
          "id": "prod-chatgpt",
          "label": "ChatGPT / GPT",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "OpenAI consumer+API frontier \u00b7 o/GPT series \u00b7 agents"
        },
        {
          "i": 2,
          "id": "prod-sora",
          "label": "Sora",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "OpenAI video generation frontier"
        },
        {
          "i": 3,
          "id": "prod-claude",
          "label": "Claude",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Anthropic constitutional AI \u00b7 Opus/Sonnet agent class"
        },
        {
          "i": 4,
          "id": "prod-gemini",
          "label": "Gemini",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Google DeepMind multimodal frontier \u00b7 Ultra/Pro/Flash"
        },
        {
          "i": 5,
          "id": "prod-veo",
          "label": "Veo / Imagen",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Google gen video + image stack"
        },
        {
          "i": 6,
          "id": "prod-alphafold",
          "label": "AlphaFold class",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "DeepMind science models \u00b7 structure prediction class"
        },
        {
          "i": 7,
          "id": "prod-llama",
          "label": "Llama",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Meta open-weight frontier \u00b7 Llama + agent stacks"
        },
        {
          "i": 8,
          "id": "prod-meta-ai",
          "label": "Meta AI",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Consumer Meta AI assistant across apps"
        },
        {
          "i": 9,
          "id": "prod-copilot-ms",
          "label": "Microsoft Copilot",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "M365 + Windows + GitHub Copilot plane"
        },
        {
          "i": 10,
          "id": "prod-azure-ai",
          "label": "Azure AI / MAI",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Azure OpenAI + MAI models + enterprise agents"
        },
        {
          "i": 11,
          "id": "prod-bedrock",
          "label": "Amazon Bedrock",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "Multi-model AWS bedrock + agents + Trainium path"
        },
        {
          "i": 12,
          "id": "prod-amazon-q",
          "label": "Amazon Q",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "AWS developer + business AI assistant"
        },
        {
          "i": 13,
          "id": "prod-apple-intel",
          "label": "Apple Intelligence",
          "cluster": "product",
          "kind": "product",
          "stack": "product",
          "note": "On-device + Private Cloud Compute AI"
        }
      ],
      "url": "https://code.ugrad.ai/?route=workflow-job-us-labs"
    },
    {
      "id": "finance-worker-flow",
      "label": "Finance worker flow \u00b7 clearing\u2192AM\u2192digital\u2192debt",
      "teach": "GitHub-style jobs across post-trade, asset managers, digital asset handlers, world debt, rails.",
      "family": "finance",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 5,
      "steps": [
        {
          "i": 1,
          "id": "clr-dtcc",
          "label": "DTCC",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "US post-trade \u00b7 NSCC equities \u00b7 FICC fixed income \u00b7 DTC CSD"
        },
        {
          "i": 2,
          "id": "am-blackrock",
          "label": "BlackRock",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Largest AUM \u00b7 Aladdin risk OS \u00b7 iShares \u00b7 BUIDL tokenized fund"
        },
        {
          "i": 3,
          "id": "da-coinbase-prime",
          "label": "Coinbase Prime / Custody",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Qualified custody + prime brokerage for institutions"
        },
        {
          "i": 4,
          "id": "wd-ustreasury",
          "label": "US Treasury",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Sovereign issuer \u00b7 Warrants \u00b7 auction \u00b7 Fiscal Service"
        },
        {
          "i": 5,
          "id": "fi-sec",
          "label": "SEC (markets)",
          "cluster": "finance",
          "kind": "regulator",
          "stack": "finance",
          "note": "US securities \u00b7 clearing agency oversight \u00b7 ETF/crypto products"
        }
      ],
      "url": "https://code.ugrad.ai/?route=finance-worker-flow"
    },
    {
      "id": "clearing-houses",
      "label": "Clearing houses / CCP / CSD ladder",
      "teach": "DTCC family \u00b7 OCC \u00b7 CME \u00b7 LCH \u00b7 ICE \u00b7 CLS \u00b7 Euroclear/Clearstream \u00b7 global CSDs",
      "family": "finance",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 16,
      "steps": [
        {
          "i": 1,
          "id": "clr-dtcc",
          "label": "DTCC",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "US post-trade \u00b7 NSCC equities \u00b7 FICC fixed income \u00b7 DTC CSD"
        },
        {
          "i": 2,
          "id": "clr-nscc",
          "label": "NSCC",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "DTCC equity CCP \u00b7 CNS continuous net settlement"
        },
        {
          "i": 3,
          "id": "clr-ficc",
          "label": "FICC",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "DTCC fixed-income CCP \u00b7 GCF Repo \u00b7 MBS"
        },
        {
          "i": 4,
          "id": "clr-occ",
          "label": "OCC",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "Options Clearing Corporation \u00b7 listed options/futures options CCP"
        },
        {
          "i": 5,
          "id": "clr-cme",
          "label": "CME Clearing",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "CME Group CCP \u00b7 futures \u00b7 IRS \u00b7 FX \u00b7 commodities"
        },
        {
          "i": 6,
          "id": "clr-lch",
          "label": "LCH",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "LSEG LCH \u00b7 SwapClear \u00b7 ForexClear \u00b7 RepoClear"
        },
        {
          "i": 7,
          "id": "clr-ice",
          "label": "ICE Clear",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "ICE Clear US/EU/Credit \u00b7 CDS \u00b7 energy \u00b7 financials"
        },
        {
          "i": 8,
          "id": "clr-cls",
          "label": "CLS Bank",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "FX PvP settlement \u00b7 multi-currency CLS"
        },
        {
          "i": 9,
          "id": "clr-euroclear",
          "label": "Euroclear",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "ICSD \u00b7 Eurobonds \u00b7 European settlement \u00b7 Collateral Highway"
        },
        {
          "i": 10,
          "id": "clr-clearstream",
          "label": "Clearstream",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "Deutsche B\u00f6rse ICSD \u00b7 LuxCSD \u00b7 global custody link"
        },
        {
          "i": 11,
          "id": "clr-six",
          "label": "SIX x-clear / SIS",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "Swiss CCP/CSD \u00b7 European links"
        },
        {
          "i": 12,
          "id": "clr-jscc",
          "label": "JSCC",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "Japan Securities Clearing Corporation"
        },
        {
          "i": 13,
          "id": "clr-hkex",
          "label": "HKSCC / HKEX Clear",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "Hong Kong securities + derivatives clearing"
        },
        {
          "i": 14,
          "id": "clr-b3",
          "label": "B3 Clearing",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "Brazil exchange clearing \u00b7 equities \u00b7 derivatives \u00b7 FX"
        },
        {
          "i": 15,
          "id": "clr-asx",
          "label": "ASX Clear / Austraclear",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "Australia equity/derivative CCP + FI CSD"
        },
        {
          "i": 16,
          "id": "clr-cds",
          "label": "CDS Clearing Canada",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "Canadian securities depository / clearing"
        }
      ],
      "url": "https://code.ugrad.ai/?route=clearing-houses"
    },
    {
      "id": "money-managers",
      "label": "Money managers / real-money + alts",
      "teach": "BlackRock\u2192Vanguard\u2192SSGA\u2192\u2026\u2192SWFs/pensions\u2192hedge/alts",
      "family": "finance",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 20,
      "steps": [
        {
          "i": 1,
          "id": "am-blackrock",
          "label": "BlackRock",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Largest AUM \u00b7 Aladdin risk OS \u00b7 iShares \u00b7 BUIDL tokenized fund"
        },
        {
          "i": 2,
          "id": "am-vanguard",
          "label": "Vanguard",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Index mutual funds/ETFs \u00b7 low-cost retail + institutional"
        },
        {
          "i": 3,
          "id": "am-ssga",
          "label": "State Street / SSGA",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Custody bank + SPDR ETFs \u00b7 official institutions"
        },
        {
          "i": 4,
          "id": "am-fidelity",
          "label": "Fidelity",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Active/index funds \u00b7 brokerage \u00b7 digital assets custody"
        },
        {
          "i": 5,
          "id": "am-pimco",
          "label": "PIMCO",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Fixed-income specialist \u00b7 Total Return heritage \u00b7 debt markets"
        },
        {
          "i": 6,
          "id": "am-capital",
          "label": "Capital Group",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "American Funds \u00b7 active long-horizon equity/FI"
        },
        {
          "i": 7,
          "id": "am-jpmam",
          "label": "J.P. Morgan AM",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Bank-affiliated AM \u00b7 liquidity \u00b7 multi-asset"
        },
        {
          "i": 8,
          "id": "am-gsam",
          "label": "Goldman Sachs AM",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "GSAM \u00b7 alts + public markets \u00b7 Marcus/retail bridges"
        },
        {
          "i": 9,
          "id": "am-bny",
          "label": "BNY / Mellon",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "World largest custodian \u00b7 Pershing \u00b7 investment servicing"
        },
        {
          "i": 10,
          "id": "am-northern",
          "label": "Northern Trust",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Custody + asset servicing + wealth"
        },
        {
          "i": 11,
          "id": "am-invesco",
          "label": "Invesco",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "QQQ + active/passive global AM"
        },
        {
          "i": 12,
          "id": "am-amundi",
          "label": "Amundi",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Europe largest AM \u00b7 sovereign + retail Europe"
        },
        {
          "i": 13,
          "id": "am-ubs",
          "label": "UBS AM",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Global wealth + AM after CS integration class"
        },
        {
          "i": 14,
          "id": "am-bridgewater",
          "label": "Bridgewater",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Macro hedge fund \u00b7 Pure Alpha \u00b7 All Weather debt/risk parity"
        },
        {
          "i": 15,
          "id": "am-blackstone",
          "label": "Blackstone",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Alts PE/RE/credit \u00b7 BREIT \u00b7 private credit debt handlers"
        },
        {
          "i": 16,
          "id": "am-kkr",
          "label": "KKR",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "PE/credit/infra \u00b7 global alternatives"
        },
        {
          "i": 17,
          "id": "am-apollo",
          "label": "Apollo",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Credit-heavy alts \u00b7 Athene insurance float"
        },
        {
          "i": 18,
          "id": "am-citadel",
          "label": "Citadel / Citadel Securities",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Multi-strat hedge + market making \u00b7 liquidity handler"
        },
        {
          "i": 19,
          "id": "am-calpers",
          "label": "CalPERS",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "US public pension \u00b7 large real-money debt/equity allocator"
        },
        {
          "i": 20,
          "id": "am-nbim",
          "label": "Norges Bank IM (GPFG)",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Norway sovereign wealth \u00b7 global equity/FI debt book"
        }
      ],
      "url": "https://code.ugrad.ai/?route=money-managers"
    },
    {
      "id": "digital-asset-handlers",
      "label": "Digital asset handlers",
      "teach": "Custody \u00b7 stablecoins \u00b7 tokenized Treasuries \u00b7 SWIFT \u00b7 compliance \u00b7 instant rails",
      "family": "finance",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 20,
      "steps": [
        {
          "i": 1,
          "id": "da-coinbase-prime",
          "label": "Coinbase Prime / Custody",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Qualified custody + prime brokerage for institutions"
        },
        {
          "i": 2,
          "id": "da-fidelity-digital",
          "label": "Fidelity Digital Assets",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Bank-grade crypto custody \u00b7 trading \u00b7 ETPs support"
        },
        {
          "i": 3,
          "id": "da-anchorage",
          "label": "Anchorage Digital",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "OCC-chartered crypto bank \u00b7 institutional custody"
        },
        {
          "i": 4,
          "id": "da-bitgo",
          "label": "BitGo",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Multi-sig / MPC custody \u00b7 wallets \u00b7 settlement"
        },
        {
          "i": 5,
          "id": "da-fireblocks",
          "label": "Fireblocks",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "MPC wallet infra \u00b7 network \u00b7 tokenization ops"
        },
        {
          "i": 6,
          "id": "da-copper",
          "label": "Copper.co",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "ClearLoop off-exchange settlement \u00b7 institutional crypto"
        },
        {
          "i": 7,
          "id": "da-circle",
          "label": "Circle / USDC",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "USDC stablecoin issuer \u00b7 Cross-Chain Transfer Protocol"
        },
        {
          "i": 8,
          "id": "da-tether",
          "label": "Tether / USDT",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Largest stablecoin by float \u00b7 multi-chain USDT"
        },
        {
          "i": 9,
          "id": "da-paxos",
          "label": "Paxos",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Regulated blockchain rails \u00b7 PYUSD infrastructure class \u00b7 gold/crypto"
        },
        {
          "i": 10,
          "id": "da-ripple",
          "label": "Ripple / RLUSD",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Cross-border liquidity \u00b7 RLUSD \u00b7 XRPL settlement class"
        },
        {
          "i": 11,
          "id": "da-buidl",
          "label": "BlackRock BUIDL",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Tokenized USD institutional liquidity fund on public chains"
        },
        {
          "i": 12,
          "id": "da-ondo",
          "label": "Ondo Finance",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Tokenized Treasuries \u00b7 OUSG \u00b7 institutional on-chain debt"
        },
        {
          "i": 13,
          "id": "da-superstate",
          "label": "Superstate",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Opening fund tokenized USTB \u00b7 regulated on-chain funds"
        },
        {
          "i": 14,
          "id": "da-securitize",
          "label": "Securitize",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Transfer agent + tokenization platform for funds/securities"
        },
        {
          "i": 15,
          "id": "da-dtcc-digital",
          "label": "DTCC Digital Assets",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "DTCC Smart NAV \u00b7 tokenization / digital securities pilots"
        },
        {
          "i": 16,
          "id": "da-swift",
          "label": "SWIFT",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Cross-border messaging \u00b7 ISO 20022 \u00b7 CBDC/token experiments"
        },
        {
          "i": 17,
          "id": "da-chainalysis",
          "label": "Chainalysis",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Blockchain analytics \u00b7 compliance handler for digital assets"
        },
        {
          "i": 18,
          "id": "da-elliptic",
          "label": "Elliptic",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Crypto compliance / forensic screening"
        },
        {
          "i": 19,
          "id": "da-fednow",
          "label": "FedNow / RTP class",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "US instant payment rails \u00b7 bank digital settlement path"
        },
        {
          "i": 20,
          "id": "da-stripe-treasury",
          "label": "Stripe Treasury class",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Embedded finance \u00b7 bank partner rails for digital platforms"
        }
      ],
      "url": "https://code.ugrad.ai/?route=digital-asset-handlers"
    },
    {
      "id": "world-debt",
      "label": "World debt \u00b7 official + market handlers",
      "teach": "UST \u00b7 Fed \u00b7 IMF \u00b7 World Bank \u00b7 BIS \u00b7 CB complex \u00b7 Paris Club \u00b7 ratings \u00b7 e-trading",
      "family": "pkg",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 20,
      "steps": [
        {
          "i": 1,
          "id": "wd-ustreasury",
          "label": "US Treasury",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Sovereign issuer \u00b7 Warrants \u00b7 auction \u00b7 Fiscal Service"
        },
        {
          "i": 2,
          "id": "wd-fed",
          "label": "Federal Reserve",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "SOMA \u00b7 open market \u00b7 lender of last resort \u00b7 USD system"
        },
        {
          "i": 3,
          "id": "wd-imf",
          "label": "IMF",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Surveillance \u00b7 SDR \u00b7 lending facilities \u00b7 debt sustainability"
        },
        {
          "i": 4,
          "id": "wd-worldbank",
          "label": "World Bank / IBRD",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Development lending \u00b7 guarantees \u00b7 bond issuance"
        },
        {
          "i": 5,
          "id": "wd-bis",
          "label": "BIS",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Central bank of central banks \u00b7 Basel \u00b7 debt/bank stats"
        },
        {
          "i": 6,
          "id": "wd-ecb",
          "label": "ECB",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Euro area monetary \u00b7 APP/PEPP legacy \u00b7 TARGET2"
        },
        {
          "i": 7,
          "id": "wd-boe",
          "label": "Bank of England",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "UK monetary \u00b7 APF \u00b7 gilt market ops \u00b7 CHAPS"
        },
        {
          "i": 8,
          "id": "wd-boj",
          "label": "Bank of Japan",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "YCC legacy \u00b7 JGB market \u00b7 YCC/QQE class debt ops"
        },
        {
          "i": 9,
          "id": "wd-pboc",
          "label": "PBOC",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "China monetary \u00b7 policy banks link \u00b7 FX reserves"
        },
        {
          "i": 10,
          "id": "wd-esmf",
          "label": "ESM / EFSF",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Euro area sovereign backstop \u00b7 crisis lending"
        },
        {
          "i": 11,
          "id": "wd-parisclub",
          "label": "Paris Club",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Official bilateral debt restructuring forum"
        },
        {
          "i": 12,
          "id": "wd-g20cf",
          "label": "G20 Common Framework",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "DSSI successor framework for sovereign debt treatments"
        },
        {
          "i": 13,
          "id": "wd-primarydealers",
          "label": "Primary Dealers (class)",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "UST auction intermediaries \u00b7 market-making sovereign debt"
        },
        {
          "i": 14,
          "id": "wd-sp",
          "label": "S&P Global Ratings",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Sovereign & corporate credit ratings handler"
        },
        {
          "i": 15,
          "id": "wd-moodys",
          "label": "Moody's",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Credit ratings \u00b7 Moody's Analytics debt risk"
        },
        {
          "i": 16,
          "id": "wd-fitch",
          "label": "Fitch Ratings",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Sovereign/corp ratings \u00b7 Fitch Solutions"
        },
        {
          "i": 17,
          "id": "wd-bloomberg",
          "label": "Bloomberg (debt venues)",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "FIT \u00b7 GOVT \u00b7 messaging \u00b7 price discovery for world debt"
        },
        {
          "i": 18,
          "id": "wd-tradeweb",
          "label": "Tradeweb",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Electronic FI trading \u00b7 govvies \u00b7 MBS \u00b7 swaps RFQ"
        },
        {
          "i": 19,
          "id": "wd-marketaxess",
          "label": "MarketAxess",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Credit e-trading \u00b7 corporate debt liquidity"
        },
        {
          "i": 20,
          "id": "wd-trace",
          "label": "FINRA TRACE",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "US corporate/agency debt transparency tape"
        }
      ],
      "url": "https://code.ugrad.ai/?route=world-debt"
    },
    {
      "id": "debt-to-digital",
      "label": "Sovereign debt \u2192 tokenized handlers",
      "teach": "US Treasury \u2192 dealers/Fed \u2192 BlackRock BUIDL / Ondo \u2192 DTCC digital / custody",
      "family": "finance",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 8,
      "steps": [
        {
          "i": 1,
          "id": "wd-ustreasury",
          "label": "US Treasury",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Sovereign issuer \u00b7 Warrants \u00b7 auction \u00b7 Fiscal Service"
        },
        {
          "i": 2,
          "id": "wd-primarydealers",
          "label": "Primary Dealers (class)",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "UST auction intermediaries \u00b7 market-making sovereign debt"
        },
        {
          "i": 3,
          "id": "wd-fed",
          "label": "Federal Reserve",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "SOMA \u00b7 open market \u00b7 lender of last resort \u00b7 USD system"
        },
        {
          "i": 4,
          "id": "da-buidl",
          "label": "BlackRock BUIDL",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Tokenized USD institutional liquidity fund on public chains"
        },
        {
          "i": 5,
          "id": "da-ondo",
          "label": "Ondo Finance",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Tokenized Treasuries \u00b7 OUSG \u00b7 institutional on-chain debt"
        },
        {
          "i": 6,
          "id": "da-dtcc-digital",
          "label": "DTCC Digital Assets",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "DTCC Smart NAV \u00b7 tokenization / digital securities pilots"
        },
        {
          "i": 7,
          "id": "da-coinbase-prime",
          "label": "Coinbase Prime / Custody",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Qualified custody + prime brokerage for institutions"
        },
        {
          "i": 8,
          "id": "clr-dtcc",
          "label": "DTCC",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "US post-trade \u00b7 NSCC equities \u00b7 FICC fixed income \u00b7 DTC CSD"
        }
      ],
      "url": "https://code.ugrad.ai/?route=debt-to-digital"
    },
    {
      "id": "stks-finance-plane",
      "label": "STKS plane \u2192 finance handlers",
      "teach": "map-hub STKS lane into clearing, managers, debt",
      "family": "finance",
      "budgetMs": 0,
      "budgetMin": 5,
      "hops": 5,
      "steps": [
        {
          "i": 1,
          "id": "lane-stks",
          "label": "STKS plane",
          "cluster": "lane",
          "kind": "lane",
          "stack": "lane",
          "note": "Markets \u00b7 exchanges \u00b7 monetary"
        },
        {
          "i": 2,
          "id": "clr-dtcc",
          "label": "DTCC",
          "cluster": "finance",
          "kind": "clearinghouse",
          "stack": "finance",
          "note": "US post-trade \u00b7 NSCC equities \u00b7 FICC fixed income \u00b7 DTC CSD"
        },
        {
          "i": 3,
          "id": "am-blackrock",
          "label": "BlackRock",
          "cluster": "finance",
          "kind": "moneymanager",
          "stack": "finance",
          "note": "Largest AUM \u00b7 Aladdin risk OS \u00b7 iShares \u00b7 BUIDL tokenized fund"
        },
        {
          "i": 4,
          "id": "wd-ustreasury",
          "label": "US Treasury",
          "cluster": "finance",
          "kind": "worlddebt",
          "stack": "finance",
          "note": "Sovereign issuer \u00b7 Warrants \u00b7 auction \u00b7 Fiscal Service"
        },
        {
          "i": 5,
          "id": "da-buidl",
          "label": "BlackRock BUIDL",
          "cluster": "finance",
          "kind": "digasset",
          "stack": "finance",
          "note": "Tokenized USD institutional liquidity fund on public chains"
        }
      ],
      "url": "https://code.ugrad.ai/?route=stks-finance-plane"
    },
    {
      "id": "organic-to-server",
      "label": "Organic DNA \u2192 encode \u2192 lang \u2192 pkg \u2192 engine \u2192 server",
      "teach": "Same hop grammar from codon tables to container runtimes.",
      "family": "organic",
      "budgetMs": 0,
      "budgetMin": null,
      "hops": 11,
      "steps": [
        {
          "i": 1,
          "id": "bio-dna",
          "label": "DNA",
          "cluster": "organic",
          "kind": "organic",
          "stack": "organic",
          "note": "organic encoding \u00b7 base sequence \u00b7 A/C/G/T"
        },
        {
          "i": 2,
          "id": "bio-transcription",
          "label": "transcription",
          "cluster": "organic",
          "kind": "organic",
          "stack": "organic",
          "note": "organic encoding \u00b7 DNA \u2192 RNA compiler"
        },
        {
          "i": 3,
          "id": "bio-rna",
          "label": "RNA",
          "cluster": "organic",
          "kind": "organic",
          "stack": "organic",
          "note": "organic encoding \u00b7 transcript \u00b7 A/C/G/U"
        },
        {
          "i": 4,
          "id": "bio-codon",
          "label": "codon table",
          "cluster": "organic",
          "kind": "organic",
          "stack": "organic",
          "note": "organic encoding \u00b7 triplet \u2192 amino acid"
        },
        {
          "i": 5,
          "id": "bio-fasta",
          "label": "FASTA",
          "cluster": "organic",
          "kind": "organic",
          "stack": "organic",
          "note": "organic encoding \u00b7 sequence file encoding"
        },
        {
          "i": 6,
          "id": "lang-python",
          "label": "python",
          "cluster": "lang",
          "kind": "language",
          "stack": "lang",
          "note": "quantum-prefixes \u00b7 11-symbol classify \u00b7 python"
        },
        {
          "i": 7,
          "id": "wrap-cpython",
          "label": "CPython",
          "cluster": "wrapper",
          "kind": "wrapper",
          "stack": "wrapper",
          "note": "wrapper / engine \u00b7 Python engine"
        },
        {
          "i": 8,
          "id": "pm-pip",
          "label": "pip / PyPI",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Python packages"
        },
        {
          "i": 9,
          "id": "wrap-ffi",
          "label": "C ABI / FFI",
          "cluster": "wrapper",
          "kind": "wrapper",
          "stack": "wrapper",
          "note": "wrapper / engine \u00b7 language foreign function"
        },
        {
          "i": 10,
          "id": "cc-llvm",
          "label": "LLVM / MLIR",
          "cluster": "compile",
          "kind": "compile",
          "stack": "compile",
          "note": "IR \u00b7 optimize \u00b7 backend"
        },
        {
          "i": 11,
          "id": "pm-docker",
          "label": "docker / containerd",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Image layers \u00b7 spool runtime"
        }
      ],
      "url": "https://code.ugrad.ai/?route=organic-to-server"
    },
    {
      "id": "hat-spectrum",
      "label": "Hat spectrum \u00b7 white \u2192 grey \u2192 black / red \u2194 blue",
      "teach": "Intent color of a tool is independent of its language.",
      "family": "hat",
      "budgetMs": 0,
      "budgetMin": null,
      "hops": 8,
      "steps": [
        {
          "i": 1,
          "id": "hat-white",
          "label": "white hat",
          "cluster": "hat",
          "kind": "hat",
          "stack": "hat",
          "note": "hat / team color \u00b7 authorized defense \u00b7 lawful research"
        },
        {
          "i": 2,
          "id": "hat-green",
          "label": "green hat",
          "cluster": "hat",
          "kind": "hat",
          "stack": "hat",
          "note": "hat / team color \u00b7 learner / junior operator"
        },
        {
          "i": 3,
          "id": "hat-grey",
          "label": "grey hat",
          "cluster": "hat",
          "kind": "hat",
          "stack": "hat",
          "note": "hat / team color \u00b7 mixed / unauthorized-but-disclose"
        },
        {
          "i": 4,
          "id": "hat-yellow",
          "label": "yellow hat",
          "cluster": "hat",
          "kind": "hat",
          "stack": "hat",
          "note": "hat / team color \u00b7 social / human layer"
        },
        {
          "i": 5,
          "id": "hat-blue",
          "label": "blue team",
          "cluster": "hat",
          "kind": "hat",
          "stack": "hat",
          "note": "hat / team color \u00b7 detect / defend / SOC"
        },
        {
          "i": 6,
          "id": "hat-purple",
          "label": "purple team",
          "cluster": "hat",
          "kind": "hat",
          "stack": "hat",
          "note": "hat / team color \u00b7 joint red+blue"
        },
        {
          "i": 7,
          "id": "hat-red",
          "label": "red team",
          "cluster": "hat",
          "kind": "hat",
          "stack": "hat",
          "note": "hat / team color \u00b7 adversarial simulation \u00b7 authorized attack"
        },
        {
          "i": 8,
          "id": "hat-black",
          "label": "black hat",
          "cluster": "hat",
          "kind": "hat",
          "stack": "hat",
          "note": "hat / team color \u00b7 unauthorized offensive"
        }
      ],
      "url": "https://code.ugrad.ai/?route=hat-spectrum"
    },
    {
      "id": "ware-ladder",
      "label": "Freeware \u2192 shareware \u2192 OSS \u2192 proprietary",
      "teach": "Who may copy, wrap, and run the engine.",
      "family": "ware",
      "budgetMs": 0,
      "budgetMin": null,
      "hops": 7,
      "steps": [
        {
          "i": 1,
          "id": "lic-public-domain",
          "label": "public domain",
          "cluster": "ware",
          "kind": "ware",
          "stack": "ware",
          "note": "distribution / license \u00b7 no rights reserved"
        },
        {
          "i": 2,
          "id": "lic-freeware",
          "label": "freeware",
          "cluster": "ware",
          "kind": "ware",
          "stack": "ware",
          "note": "distribution / license \u00b7 no-cost, rights retained"
        },
        {
          "i": 3,
          "id": "lic-shareware",
          "label": "shareware",
          "cluster": "ware",
          "kind": "ware",
          "stack": "ware",
          "note": "distribution / license \u00b7 try-before-pay"
        },
        {
          "i": 4,
          "id": "lic-oss-permissive",
          "label": "OSS permissive",
          "cluster": "ware",
          "kind": "ware",
          "stack": "ware",
          "note": "distribution / license \u00b7 MIT / BSD / Apache class"
        },
        {
          "i": 5,
          "id": "lic-oss-copyleft",
          "label": "OSS copyleft",
          "cluster": "ware",
          "kind": "ware",
          "stack": "ware",
          "note": "distribution / license \u00b7 GPL / MPL class"
        },
        {
          "i": 6,
          "id": "lic-source-available",
          "label": "source-available",
          "cluster": "ware",
          "kind": "ware",
          "stack": "ware",
          "note": "distribution / license \u00b7 viewable, not OSS"
        },
        {
          "i": 7,
          "id": "lic-proprietary",
          "label": "proprietary",
          "cluster": "ware",
          "kind": "ware",
          "stack": "ware",
          "note": "distribution / license \u00b7 closed source \u00b7 licensed"
        }
      ],
      "url": "https://code.ugrad.ai/?route=ware-ladder"
    },
    {
      "id": "wrapper-mesh",
      "label": "Wrappers / engines across languages",
      "teach": "Every language stack is reachable through an engine or FFI.",
      "family": "pkg",
      "budgetMs": 0,
      "budgetMin": null,
      "hops": 10,
      "steps": [
        {
          "i": 1,
          "id": "wrap-ffi",
          "label": "C ABI / FFI",
          "cluster": "wrapper",
          "kind": "wrapper",
          "stack": "wrapper",
          "note": "wrapper / engine \u00b7 language foreign function"
        },
        {
          "i": 2,
          "id": "wrap-llvm",
          "label": "LLVM engine",
          "cluster": "wrapper",
          "kind": "wrapper",
          "stack": "wrapper",
          "note": "wrapper / engine \u00b7 IR \u2192 machine"
        },
        {
          "i": 3,
          "id": "wrap-wasm",
          "label": "WASM / WASI",
          "cluster": "wrapper",
          "kind": "wrapper",
          "stack": "wrapper",
          "note": "wrapper / engine \u00b7 portable sandbox engine"
        },
        {
          "i": 4,
          "id": "wrap-v8",
          "label": "V8",
          "cluster": "wrapper",
          "kind": "wrapper",
          "stack": "wrapper",
          "note": "wrapper / engine \u00b7 JS/WASM engine"
        },
        {
          "i": 5,
          "id": "wrap-cpython",
          "label": "CPython",
          "cluster": "wrapper",
          "kind": "wrapper",
          "stack": "wrapper",
          "note": "wrapper / engine \u00b7 Python engine"
        },
        {
          "i": 6,
          "id": "wrap-jvm",
          "label": "JVM",
          "cluster": "wrapper",
          "kind": "wrapper",
          "stack": "wrapper",
          "note": "wrapper / engine \u00b7 bytecode engine"
        },
        {
          "i": 7,
          "id": "wrap-clr",
          "label": ".NET CLR",
          "cluster": "wrapper",
          "kind": "wrapper",
          "stack": "wrapper",
          "note": "wrapper / engine \u00b7 CIL engine"
        },
        {
          "i": 8,
          "id": "wrap-beam",
          "label": "BEAM",
          "cluster": "wrapper",
          "kind": "wrapper",
          "stack": "wrapper",
          "note": "wrapper / engine \u00b7 Erlang / Elixir VM"
        },
        {
          "i": 9,
          "id": "wrap-grpc",
          "label": "gRPC",
          "cluster": "wrapper",
          "kind": "wrapper",
          "stack": "wrapper",
          "note": "wrapper / engine \u00b7 RPC wrapper"
        },
        {
          "i": 10,
          "id": "wrap-unix-pipe",
          "label": "stdio / pipes",
          "cluster": "wrapper",
          "kind": "wrapper",
          "stack": "wrapper",
          "note": "wrapper / engine \u00b7 process wrappers"
        }
      ],
      "url": "https://code.ugrad.ai/?route=wrapper-mesh"
    },
    {
      "id": "pkg-world",
      "label": "Package managers \u00b7 language \u2192 distro \u2192 HPC",
      "teach": "Install plane for every code path.",
      "family": "pkg",
      "budgetMs": 0,
      "budgetMin": null,
      "hops": 9,
      "steps": [
        {
          "i": 1,
          "id": "pm-npm",
          "label": "npm / yarn / pnpm",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "JS package registry \u00b7 node_modules"
        },
        {
          "i": 2,
          "id": "pm-pip",
          "label": "pip / PyPI",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Python packages"
        },
        {
          "i": 3,
          "id": "pm-cargo",
          "label": "cargo / crates.io",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Rust crates \u00b7 build"
        },
        {
          "i": 4,
          "id": "pm-go",
          "label": "go mod",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Go modules \u00b7 proxy"
        },
        {
          "i": 5,
          "id": "pm-nix",
          "label": "Nix / nixpkgs",
          "cluster": "pkg",
          "kind": "pkg",
          "stack": "pkg",
          "note": "package manager \u00b7 pure store \u00b7 reproducible"
        },
        {
          "i": 6,
          "id": "pm-apt",
          "label": "apt / dnf",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Linux distro packages"
        },
        {
          "i": 7,
          "id": "pm-homebrew",
          "label": "Homebrew",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "macOS system formulae"
        },
        {
          "i": 8,
          "id": "pm-spack",
          "label": "Spack",
          "cluster": "pkg",
          "kind": "pkg",
          "stack": "pkg",
          "note": "package manager \u00b7 HPC spec solver"
        },
        {
          "i": 9,
          "id": "pm-docker",
          "label": "docker / containerd",
          "cluster": "pkg",
          "kind": "toolchain",
          "stack": "pkg",
          "note": "Image layers \u00b7 spool runtime"
        }
      ],
      "url": "https://code.ugrad.ai/?route=pkg-world"
    },
    {
      "id": "iana-ip-levels",
      "label": "IANA \u2192 RIR \u2192 NIR \u2192 LIR \u2192 assigned",
      "teach": "Number-plan hops: special-use, IANA /8, five RIRs, national registries, allocated, assigned. BGP more-specific is named, not dumped.",
      "family": "gov",
      "budgetMs": 0,
      "budgetMin": 0,
      "hops": 13,
      "steps": [
        {
          "i": 1,
          "id": "ip-l0-special",
          "label": "Special-use (RFC 1918 / 6890)",
          "cluster": "netgov",
          "kind": "iplevel",
          "stack": "netgov",
          "note": "Not globally unique unicast \u00b7 loopback \u00b7 CGNAT \u00b7 ULA"
        },
        {
          "i": 2,
          "id": "ip-l1-iana",
          "label": "IANA number registry",
          "cluster": "netgov",
          "kind": "iplevel",
          "stack": "netgov",
          "note": "IPv4 /8 \u00b7 IPv6 2000::/3 \u00b7 AS number blocks"
        },
        {
          "i": 3,
          "id": "ip-l1-iana-v4",
          "label": "IANA IPv4 /8 space",
          "cluster": "netgov",
          "kind": "iplevel",
          "stack": "netgov",
          "note": "256 first-octet blocks \u00b7 ALLOCATED / LEGACY / RESERVED"
        },
        {
          "i": 4,
          "id": "ip-l2-rir",
          "label": "RIR allocation",
          "cluster": "netgov",
          "kind": "iplevel",
          "stack": "netgov",
          "note": "ARIN \u00b7 RIPE NCC \u00b7 APNIC \u00b7 LACNIC \u00b7 AFRINIC"
        },
        {
          "i": 5,
          "id": "gov-arin",
          "label": "ARIN (1997)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "North America \u00b7 parts of Caribbean \u00b7 delegated ipv4 80,709 \u00b7 ipv6 88,391 \u00b7 asn 32,909 \u00b7 IPv4 addresses 1,650,691,328"
        },
        {
          "i": 6,
          "id": "gov-ripe",
          "label": "RIPE NCC (1992)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "Europe \u00b7 Middle East \u00b7 Central Asia \u00b7 delegated ipv4 100,469 \u00b7 ipv6 111,038 \u00b7 asn 48,680 \u00b7 IPv4 addresses 855,536,896"
        },
        {
          "i": 7,
          "id": "gov-apnic",
          "label": "APNIC (1993)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "Asia Pacific \u00b7 delegated ipv4 61,442 \u00b7 ipv6 113,050 \u00b7 asn 14,664 \u00b7 IPv4 addresses 892,280,576"
        },
        {
          "i": 8,
          "id": "gov-lacnic",
          "label": "LACNIC (2002)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "Latin America \u00b7 Caribbean \u00b7 delegated ipv4 20,739 \u00b7 ipv6 59,715 \u00b7 asn 16,420 \u00b7 IPv4 addresses 182,498,816"
        },
        {
          "i": 9,
          "id": "gov-afrinic",
          "label": "AFRINIC (2005)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "Africa \u00b7 delegated ipv4 6,038 \u00b7 ipv6 9,174 \u00b7 asn 4,350 \u00b7 IPv4 addresses 121,250,304"
        },
        {
          "i": 10,
          "id": "ip-l3-nir",
          "label": "NIR",
          "cluster": "netgov",
          "kind": "iplevel",
          "stack": "netgov",
          "note": "National Internet Registry under a parent RIR"
        },
        {
          "i": 11,
          "id": "ip-l4-lir",
          "label": "LIR allocated",
          "cluster": "netgov",
          "kind": "iplevel",
          "stack": "netgov",
          "note": "ISP / Local Internet Registry block (status=allocated)"
        },
        {
          "i": 12,
          "id": "ip-l5-assigned",
          "label": "Assigned",
          "cluster": "netgov",
          "kind": "iplevel",
          "stack": "netgov",
          "note": "End-organization assignment (status=assigned)"
        },
        {
          "i": 13,
          "id": "ip-l6-bgp",
          "label": "BGP more-specific",
          "cluster": "netgov",
          "kind": "iplevel",
          "stack": "netgov",
          "note": "Announced prefix \u00b7 not in the IANA pack (RIS / RouteViews)"
        }
      ],
      "url": "https://code.ugrad.ai/?route=iana-ip-levels"
    },
    {
      "id": "iana-asn-levels",
      "label": "IANA AS blocks \u2192 five RIRs",
      "teach": "Autonomous System numbers are allocated in blocks by IANA, then assigned by ARIN/RIPE/APNIC/LACNIC/AFRINIC.",
      "family": "gov",
      "budgetMs": 0,
      "budgetMin": 0,
      "hops": 8,
      "steps": [
        {
          "i": 1,
          "id": "ip-l1-iana-asn",
          "label": "IANA AS numbers",
          "cluster": "netgov",
          "kind": "iplevel",
          "stack": "netgov",
          "note": "16-bit and 32-bit AS blocks delegated to RIRs"
        },
        {
          "i": 2,
          "id": "ip-nro",
          "label": "NRO",
          "cluster": "netgov",
          "kind": "iplevel",
          "stack": "netgov",
          "note": "Number Resource Organization \u00b7 five-RIR coordination"
        },
        {
          "i": 3,
          "id": "gov-arin",
          "label": "ARIN (1997)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "North America \u00b7 parts of Caribbean \u00b7 delegated ipv4 80,709 \u00b7 ipv6 88,391 \u00b7 asn 32,909 \u00b7 IPv4 addresses 1,650,691,328"
        },
        {
          "i": 4,
          "id": "gov-ripe",
          "label": "RIPE NCC (1992)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "Europe \u00b7 Middle East \u00b7 Central Asia \u00b7 delegated ipv4 100,469 \u00b7 ipv6 111,038 \u00b7 asn 48,680 \u00b7 IPv4 addresses 855,536,896"
        },
        {
          "i": 5,
          "id": "gov-apnic",
          "label": "APNIC (1993)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "Asia Pacific \u00b7 delegated ipv4 61,442 \u00b7 ipv6 113,050 \u00b7 asn 14,664 \u00b7 IPv4 addresses 892,280,576"
        },
        {
          "i": 6,
          "id": "gov-lacnic",
          "label": "LACNIC (2002)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "Latin America \u00b7 Caribbean \u00b7 delegated ipv4 20,739 \u00b7 ipv6 59,715 \u00b7 asn 16,420 \u00b7 IPv4 addresses 182,498,816"
        },
        {
          "i": 7,
          "id": "gov-afrinic",
          "label": "AFRINIC (2005)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "Africa \u00b7 delegated ipv4 6,038 \u00b7 ipv6 9,174 \u00b7 asn 4,350 \u00b7 IPv4 addresses 121,250,304"
        },
        {
          "i": 8,
          "id": "ip-rdap",
          "label": "RDAP bootstrap",
          "cluster": "netgov",
          "kind": "iplevel",
          "stack": "netgov",
          "note": "IANA bootstrap: which RIR answers for this prefix/ASN"
        }
      ],
      "url": "https://code.ugrad.ai/?route=iana-asn-levels"
    },
    {
      "id": "apnic-nir-tree",
      "label": "APNIC \u2192 NIRs (JPNIC \u00b7 CNNIC \u00b7 IRINN \u00b7 \u2026)",
      "teach": "Asia-Pacific national registries sit under APNIC, then LIR/assigned.",
      "family": "gov",
      "budgetMs": 0,
      "budgetMin": 0,
      "hops": 10,
      "steps": [
        {
          "i": 1,
          "id": "gov-apnic",
          "label": "APNIC (1993)",
          "cluster": "netgov",
          "kind": "rir",
          "stack": "netgov",
          "note": "Asia Pacific \u00b7 delegated ipv4 61,442 \u00b7 ipv6 113,050 \u00b7 asn 14,664 \u00b7 IPv4 addresses 892,280,576"
        },
        {
          "i": 2,
          "id": "ip-nir-jpnic",
          "label": "JPNIC",
          "cluster": "netgov",
          "kind": "nir",
          "stack": "netgov",
          "note": "Japan NIR"
        },
        {
          "i": 3,
          "id": "ip-nir-krnic",
          "label": "KRNIC / KISA",
          "cluster": "netgov",
          "kind": "nir",
          "stack": "netgov",
          "note": "Korea NIR"
        },
        {
          "i": 4,
          "id": "ip-nir-twnic",
          "label": "TWNIC",
          "cluster": "netgov",
          "kind": "nir",
          "stack": "netgov",
          "note": "Taiwan NIR"
        },
        {
          "i": 5,
          "id": "ip-nir-cnnic",
          "label": "CNNIC",
          "cluster": "netgov",
          "kind": "nir",
          "stack": "netgov",
          "note": "China NIR"
        },
        {
          "i": 6,
          "id": "ip-nir-irinn",
          "label": "IRINN",
          "cluster": "netgov",
          "kind": "nir",
          "stack": "netgov",
          "note": "India NIR"
        },
        {
          "i": 7,
          "id": "ip-nir-idnic",
          "label": "IDNIC / APJII",
          "cluster": "netgov",
          "kind": "nir",
          "stack": "netgov",
          "note": "Indonesia NIR"
        },
        {
          "i": 8,
          "id": "ip-nir-vnnic",
          "label": "VNNIC",
          "cluster": "netgov",
          "kind": "nir",
          "stack": "netgov",
          "note": "Viet Nam NIR"
        },
        {
          "i": 9,
          "id": "ip-l4-lir",
          "label": "LIR allocated",
          "cluster": "netgov",
          "kind": "iplevel",
          "stack": "netgov",
          "note": "ISP / Local Internet Registry block (status=allocated)"
        },
        {
          "i": 10,
          "id": "ip-l5-assigned",
          "label": "Assigned",
          "cluster": "netgov",
          "kind": "iplevel",
          "stack": "netgov",
          "note": "End-organization assignment (status=assigned)"
        }
      ],
      "url": "https://code.ugrad.ai/?route=apnic-nir-tree"
    }
  ],
  "netgov": "https://code.ugrad.ai/data/public-samples/code-netgov.json",
  "offline_iana": "https://code.ugrad.ai/tools/offline-iana"
}
