Extend Node with LLM

Node: c_invest_exec Investment & Execution Depth: 1

Instructions

Developer Message

User Message

Context Tree Preview

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Context JSON (import/export format)

{
  "focusId" : "c_invest_exec",
  "limits" : {
    "maxNodesTouched" : 5,
    "depth" : 1,
    "maxEdgesTouched" : 10
  },
  "concepts" : [ {
    "id" : "c_invest_exec",
    "label" : "Investment & Execution",
    "note" : "Tracks the lifecycle of HP Ventures' internal and co-built initiatives from idea to scale.",
    "rank" : "5039"
  }, {
    "id" : "c_hp_ventures",
    "label" : "HP Ventures Ontology",
    "note" : "HP Ventures vision: To build the next generation of AI-driven ventures — where ideas become real, revenue-generating products in months, not years.\n\nAt HP Ventures, we operate as an execution-driven incubator that turns early concepts into validated, scalable businesses.\nThrough our shared AI & Growth Platform, we combine product development, go-to-market execution, and investor alignment to move fast and prove traction before scaling.\nOur tagline says it best: “From idea to impact — powered by AI and execution.”\n\nEach project demonstrates how applied AI can reshape an industry.\nFor example, Vestir AI, one of our founder-led ventures, uses computer vision and generative modeling to deliver a virtual try-on experience for fashion retailers — helping brands reduce returns and boost conversion rates while redefining how consumers shop online.\n\nHP Ventures unites founders, investors, and technology under one mission: to turn smart ideas into working businesses through speed, precision, and measurable results.",
    "rank" : "0080"
  }, {
    "id" : "c_consideration",
    "label" : "Consideration",
    "note" : "Validated ideas currently looking for founders or technical leadership.",
    "rank" : "0065"
  }, {
    "id" : "c_execution_cycle",
    "label" : "6-Month Execution Cycle",
    "note" : "Idea → prototype → first customer → spin-off (UG/GmbH).",
    "rank" : "0070"
  }, {
    "id" : "c_running",
    "label" : "Running",
    "note" : "Active HP Ventures portfolio startups in execution and growth phase.",
    "rank" : "0070"
  }, {
    "id" : "c_ai_exec_layer",
    "label" : "AI Execution Layer",
    "note" : "Automation for building, sales, rapid prototyping, early revenue focus.",
    "rank" : "0067"
  }, {
    "id" : "c_invest_phased",
    "label" : "Phased Investment Approach",
    "note" : "Structured, data-driven model that advances ventures through staged phases with defined milestones, capital, and support.",
    "rank" : "0078"
  }, {
    "id" : "c_idea",
    "label" : "Idea",
    "note" : "Early-stage venture concepts under exploration.",
    "rank" : "0060"
  }, {
    "id" : "c_founder_types",
    "label" : "Founder Types",
    "note" : "Complementary pair: Builder (tech/product) and Seller (GTM/sales) — typically ~20h/week during incubation.",
    "rank" : "0070"
  }, {
    "id" : "c_co_building",
    "label" : "Co-Building Approach",
    "note" : "Shared AI tooling, coding support, GTM resources, and customer validation via HP network.",
    "rank" : "0072"
  }, {
    "id" : "c_program_infra",
    "label" : "Program Infrastructure",
    "note" : "Office, mentoring, investor network; operational add-ons.",
    "rank" : "0055"
  } ],
  "triples" : [ {
    "subjectId" : "c_hp_ventures",
    "objectId" : "c_invest_exec",
    "predicate" : "has_subtopic"
  }, {
    "subjectId" : "c_invest_exec",
    "objectId" : "c_consideration",
    "predicate" : "has_subtopic"
  }, {
    "subjectId" : "c_invest_exec",
    "objectId" : "c_execution_cycle",
    "predicate" : "has_subtopic"
  }, {
    "subjectId" : "c_invest_exec",
    "objectId" : "c_running",
    "predicate" : "has_subtopic"
  }, {
    "subjectId" : "c_invest_exec",
    "objectId" : "c_ai_exec_layer",
    "predicate" : "has_subtopic"
  }, {
    "subjectId" : "c_invest_exec",
    "objectId" : "c_invest_phased",
    "predicate" : "has_subtopic"
  }, {
    "subjectId" : "c_invest_exec",
    "objectId" : "c_idea",
    "predicate" : "has_subtopic"
  }, {
    "subjectId" : "c_invest_exec",
    "objectId" : "c_founder_types",
    "predicate" : "has_subtopic"
  }, {
    "subjectId" : "c_invest_exec",
    "objectId" : "c_co_building",
    "predicate" : "has_subtopic"
  }, {
    "subjectId" : "c_invest_exec",
    "objectId" : "c_program_infra",
    "predicate" : "has_subtopic"
  }, {
    "subjectId" : "c_founder_types",
    "objectId" : "c_co_building",
    "predicate" : "related_to"
  } ]
}

LLM Result

LLM Explanation

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Returned JSON

LLM Graph Preview

Renders concepts/triples if the LLM output matches the import format; if a changeset is returned, a best‑effort preview is shown for add_node/add_edge.

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Finetune the answer

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