{
  "asset": "assets/about/wn-about-first-meeting-packet-20260701.jpg",
  "created_at": "2026-07-01T16:38:00Z",
  "generator": "OpenAI built-in image generation tool",
  "source_output": "/Users/perlval/.codex/generated_images/019f1e88-dfa0-7c52-bbe8-277da4aa3efc/ig_0806584f6d61d7b4016a4542073da8819b8088a49b1f37b703.png",
  "dimensions": {
    "width": 1672,
    "height": 941
  },
  "sha256": "23350a661610937496aedcb9506e6d02fa22a684d980af79468eb3781ceef5cc",
  "use_case": "productivity-visual",
  "intended_use": [
    "wn-about.html First Meeting Packet section feature visual",
    "image-sitemap.xml About page image entry",
    "About page editorial product-direction art"
  ],
  "prompt": {
    "asset_type": "White Noise Inc. About page editorial image, 16:9 web section visual",
    "primary_request": "A premium company first-meeting packet desk for White Noise Inc., showing a strategic handoff kit assembled from public artifacts, evidence receipts, source notes, Member Workspace canvas output, services scope, and partner routes.",
    "scene_backdrop": "Dark modern product-strategy studio, not a science lab. A matte-black executive table with printed packets, translucent route cards, provenance receipt cards, small abstract source graph screens, and one generated-image canvas preview on a wall display.",
    "subject": "The first credible company meeting packet as a productized orientation surface: canon-to-proof-to-route, with distinct stacks for reader, member, research sponsor, partner, and investor.",
    "style_medium": "Cinematic realistic editorial product photography, premium SaaS/product launch visual language, restrained and sophisticated.",
    "composition_framing": "Wide 16:9 landscape; table and packets in foreground; wall screens and route board in background; clear depth, polished composition, usable as a website feature image.",
    "lighting_mood": "Dark graphite room with crisp cyan and blue-white UI light, tiny green validation accents, subtle amber edge light, serious and inspectable.",
    "constraints": "Original generated bitmap; no book-cover layout; no book as the central object; no human faces; no third-party logos; no readable fake UI; no cryptocurrency, token, trading, military, robotics, or wet-lab imagery; no watermark."
  },
  "alt_text": "AI-generated White Noise first-meeting packet desk with public artifacts, evidence receipts, Member Workspace canvas work, source notes, services scope, and routed partner handoff cards",
  "research_references": [
    {
      "name": "Runway product page",
      "url": "https://runwayml.com/product",
      "observed_pattern": "Artifact-first creative product surface with clear model/tool taxonomy and repeated try-now routes."
    },
    {
      "name": "Figma AI",
      "url": "https://www.figma.com/ai/",
      "observed_pattern": "End-to-end AI workflow framing, visible collaboration stages, credit controls, and admin/training boundaries."
    },
    {
      "name": "Linear",
      "url": "https://linear.app/",
      "observed_pattern": "Operational product UI as the brand surface, with routed intake, planning, build, review, and AI-agent flows."
    },
    {
      "name": "Stripe Atlas",
      "url": "https://stripe.com/atlas",
      "observed_pattern": "Complex business conversion collapsed into a checklist, concrete status receipt, price, proof, and legal boundary."
    },
    {
      "name": "Instrument work index",
      "url": "https://www.instrument.com/work",
      "observed_pattern": "Studio work navigation that separates service capability, proof, editorial confidence, and contact intent."
    },
    {
      "name": "Pentagram work index",
      "url": "https://www.pentagram.com/work",
      "observed_pattern": "Editorially restrained case-study IA that lets work, category, client, and recognition carry authority."
    }
  ],
  "usage_boundary": "GPT-generated editorial product-direction art for the White Noise Inc. About page. It is not a production dashboard, staffed operations room, audited diligence desk, production CRM, formal capital process, proof of deployed speculative technology, completed source-trained image model, licensed web-scale source ingestion, or commercial-rights clearance for future generated outputs.",
  "training_boundary": "No claim is made that this image was generated from, trained on, or fine-tuned with White Noise proprietary visual data, customer imagery, web-scale corpora, or third-party licensed training sets.",
  "review_notes": "Accepted for section use after visual inspection. The image depicts abstract packets, route cards, source/provenance panels, and a generated canvas without readable fake labels, third-party marks, book-cover targeting, or training claims."
}