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sidc.ai

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Notes by Siddhartha Chaturvedi on building AI systems, choosing interfaces, and how AI changes work.
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    fetch_professional_profileAnswer

    Returns Siddhartha Chaturvedi's professional bio, verified proof credentials, active board/venture roles, and connect channels.

    View tool JSON
    {
      "name": "fetch_professional_profile",
      "kind": "answer",
      "impl": "imperative",
      "description": "Returns Siddhartha Chaturvedi's professional bio, verified proof credentials, active board/venture roles, and connect channels.",
      "inputSchema": {
        "type": "object",
        "properties": {}
      },
      "page": "/"
    }
    fetch_field_note_summariesAnswer

    Returns the complete index of all active Field Notes essays published on SIDC.AI with links and TL;DR summaries.

    View tool JSON
    {
      "name": "fetch_field_note_summaries",
      "kind": "answer",
      "impl": "imperative",
      "description": "Returns the complete index of all active Field Notes essays published on SIDC.AI with links and TL;DR summaries.",
      "inputSchema": {
        "type": "object",
        "properties": {}
      },
      "page": "/"
    }
    triage_workload_interfaceAction

    Evaluates a proposed workload and recommends the optimal interface shape: Direct GUI, Headless Agent, or Generative UI.

    View tool JSON
    {
      "name": "triage_workload_interface",
      "kind": "act",
      "impl": "imperative",
      "description": "Evaluates a proposed workload and recommends the optimal interface shape: Direct GUI, Headless Agent, or Generative UI.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "workloadType": {
            "type": "string",
            "enum": [
              "known-object",
              "analysis-loop",
              "team-decision"
            ],
            "description": "Categorization of the workload: 'known-object' (simple editing/approving), 'analysis-loop' (procedural data checks), 'team-decision' (messy multi-variant alignment)."
          },
          "description": {
            "type": "string",
            "description": "Natural language description of what the user wants to accomplish."
          }
        },
        "required": [
          "workloadType"
        ]
      },
      "page": "/"
    }
    evaluate_system_equilibriumAction

    Evaluates an AI deployment across the three Value Function vectors: Resonance, Relevance, and Response. Outputs warnings for common alignment errors.

    View tool JSON
    {
      "name": "evaluate_system_equilibrium",
      "kind": "act",
      "impl": "imperative",
      "description": "Evaluates an AI deployment across the three Value Function vectors: Resonance, Relevance, and Response. Outputs warnings for common alignment errors.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "resonance": {
            "type": "integer",
            "minimum": 1,
            "maximum": 10,
            "description": "Voice, style, and brand aesthetics score (1=Robotic, 10=Custom & local)."
          },
          "relevance": {
            "type": "integer",
            "minimum": 1,
            "maximum": 10,
            "description": "Grounding, citations, and evidence score (1=Unverified/hallucination, 10=Deterministic citations)."
          },
          "response": {
            "type": "integer",
            "minimum": 1,
            "maximum": 10,
            "description": "Execution, API action, and task-completion score (1=Drops text summary, 10=Executes native action)."
          }
        },
        "required": [
          "resonance",
          "relevance",
          "response"
        ]
      },
      "page": "/"
    }