{
  "uid": "cogitave.learn.paths.build-on-core",
  "kind": "learningPath",
  "href": "/paths/build-on-core/",
  "title": "Build on a single canonical model",
  "summary": "Learn the one-model architecture that lets humans and agents read a whole organization the same way: one typed property graph that documentation, governance, infrastructure, and agents all project into, a single query layer over it, and an MCP-native interface. By the end you'll be able to model your own estate as one graph rather than a rack of disconnected stores. Cogitave's own Core is the worked reference example throughout.",
  "type": null,
  "products": [
    "cogitave-core"
  ],
  "roles": [
    "developer",
    "solution-architect"
  ],
  "levels": [
    "intermediate"
  ],
  "subjects": [
    "artificial-intelligence"
  ],
  "headings": [],
  "source": "- Basic familiarity with graph data models and APIs.\n- Completion of the \"Onboard to an AI-native codebase\" path is recommended.\n",
  "modules": [
    "cogitave.learn.core-model-fundamentals",
    "cogitave.learn.query-the-estate-with-cogitave-query",
    "cogitave.learn.native-mcp-interface",
    "cogitave.learn.project-products-into-core"
  ],
  "durationInMinutes": 99,
  "trophy": "cogitave.learn.paths.build-on-core.trophy"
}