Tool tree
Notes by Siddhartha Chaturvedi on building AI systems, choosing interfaces, and how AI changes work.
Implementation
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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": "/"
}