{
  "format": "obsidian_markdown_bundle_v1",
  "scope": "zig",
  "id": "edge-slm-optimization",
  "files": [
    {
      "path": "zigs/edge-slm-optimization-local-first-ai-with-slms.md",
      "content": "---\ntype: zig\nzig_id: edge-slm-optimization\nzines:\n  - general\n  - ai\nfidelity: 1\nsource_count: 1\ntags:\n  - zigg/zig\n  - zigg/general\n  - zigg/ai\n---\n\n# Local-First AI with SLMs\n\nWhy this matters This artifact is grounded in 4 verified claims across 1 context signals. Corroborating evidence: Trend detected: Local-First AI with SLMs is seeing a sustained increase in builder adoption; Operator attention is clustering around production usage rather than one-off experimentation. The trend path emphasizes sustained movement over isolated events so downstream Zigs are less sensitive to one-off noise.\n\n## zines\n\n- none\n\n## sources\n\n- [[edge-slm-optimization-local-first-ai-with-slms]]\n"
    },
    {
      "path": "sources/edge-slm-optimization-local-first-ai-with-slms.md",
      "content": "---\ntype: source\nsource_id: edge-slm-optimization\nsource_uri: gemini://trending-ai/edge-slm-optimization\ntags:\n  - zigg/source\n  - domain/trending-ai\n---\n\n# Local-First AI with SLMs\n\nsource uri: gemini://trending-ai/edge-slm-optimization\n\nTrend detected: Local-First AI with SLMs is seeing a sustained increase in builder adoption. Operator attention is clustering around production usage rather than one-off experimentation. Why it matters now: The rise of…\n\n## supports\n\n- [[edge-slm-optimization-local-first-ai-with-slms]]\n"
    }
  ]
}