[
  {
    "name": "Robotics Compilation Pipeline",
    "flow": [
      "Robot Sensors",
      "Sync",
      "Calibration",
      "State Reconstruction",
      "Action Alignment",
      "World Representation"
    ],
    "best_for": "Robot learning, imitation learning and world-model training"
  },
  {
    "name": "Real2Sim Pipeline",
    "flow": [
      "Real Scene",
      "Capture",
      "Reconstruction",
      "Semantics",
      "Simulation Conversion",
      "Interactive Scene"
    ],
    "best_for": "Simulation, synthetic data and policy testing"
  },
  {
    "name": "Multimodal World Pipeline",
    "flow": [
      "Vision + Audio + Depth + State",
      "Synchronization",
      "Fusion",
      "World State",
      "Representation"
    ],
    "best_for": "Embodied AI and multimodal foundation models"
  },
  {
    "name": "Digital Agent Pipeline",
    "flow": [
      "App State + Tools + Events",
      "State Capture",
      "Action Alignment",
      "Structured Environment",
      "Agent World Model"
    ],
    "best_for": "Software agents and interactive digital environments"
  },
  {
    "name": "World Token Pipeline",
    "flow": [
      "Raw Experience",
      "Encoder",
      "World Tokens",
      "Dynamics Model",
      "Planning"
    ],
    "best_for": "Scalable world-model training"
  },
  {
    "name": "Closed-Loop Physical AI",
    "flow": [
      "Reality",
      "World Compiler",
      "World Model",
      "Planner",
      "Robot Action",
      "Reality"
    ],
    "best_for": "Autonomous physical systems"
  }
]