{
  "asset": "assets/governance/white-noise-market-entry-route-board-20260629.png",
  "created_on": "2026-06-29",
  "provider": "OpenAI / GPT image generation",
  "source_generation_path": "/Users/perlval/.codex/generated_images/019f146e-b5aa-7ac0-9aa4-6c227bf2a6d3/ig_010cbbf79409adfb016a42abef4a348199bd5aa622dd539b18.png",
  "usage": [
    "Public Market Entry Note hero",
    "Public Market Entry Note social preview",
    "Public materials image-provenance register",
    "Image sitemap discovery",
    "Board memo support image"
  ],
  "prompt_intent": "Create a serious editorial market-entry route board showing the near-term White Noise business as separated lanes for source/canon, member learning, scoped services, partner distribution, and a gated future-upside horizon.",
  "prompt_summary": "Cinematic dark boardroom and operating-desk environment with a wall-sized route map, evidence cards, calm governance lighting, four abstract current-market lanes, and a visibly separated gated horizon lane. No legible text, logos, people, currency symbols, stock charts, rockets, speculative hardware proof, live CRM, audited dashboards, named customers, trading markets, or operational frontier technology.",
  "alt_text": "AI-generated White Noise market-entry route board with four current-market lanes, evidence cards, and a gated future-upside horizon.",
  "review_status": "approved_for_public_editorial_use_with_non_proof_boundary",
  "usage_boundary": "GPT-generated conceptual/editorial market-entry image only; not proof of product-market fit, audited traction, named customers, production CRM, enterprise workflow maturity, formal financing readiness, live Exchange operations, deployed speculative technology, trained W.N. image model, or web-scale source ingestion.",
  "blocked_implications": [
    "audited traction",
    "product-market fit",
    "named customers",
    "production CRM",
    "enterprise workflow maturity",
    "formal financing readiness",
    "live Exchange operations",
    "deployed speculative technology",
    "trained W.N. image model",
    "web-scale source ingestion"
  ]
}