{
  "initiatives": [
    {
      "name": "SIGNAL",
      "category": "Persistent Organizational Memory",
      "status": "Research",
      "description": "An experimental framework for structuring and persisting long-term contextual memories for autonomous systems."
    },
    {
      "name": "ZERO",
      "category": "Zero-Hallucination Execution Layer",
      "status": "Research",
      "description": "An execution protocol constraining AI output validation using strict static graphs and runtime checks."
    },
    {
      "name": "Foundation Models",
      "category": "Specialized LLMs",
      "status": "Concept",
      "description": "Exploration of highly efficient models optimized for domain-specific automation and task routing."
    },
    {
      "name": "Liquid World Models",
      "category": "Dynamic Telemetry",
      "status": "Concept",
      "description": "Research into state representation models that adapt continuously to streaming operational events."
    },
    {
      "name": "Edge AI",
      "category": "On-Device Inference",
      "status": "Research",
      "description": "Optimizing local small language models (SLMs) and agent controllers to operate securely in low-bandwidth settings."
    }
  ],
  "updates": [
    {
      "id": "research-seed-2026-06-01-a",
      "title": "Operational Confidence Envelopes for Multi-Agent Systems: A Practical Field Protocol",
      "createdAt": "2026-06-01"
    },
    {
      "id": "research-seed-2026-06-01-b",
      "title": "Latency, Traceability, and Human Override in Autonomous Workflow Systems: Controlled Benchmark Notes",
      "createdAt": "2026-06-01"
    }
  ]
}