{
  "asset": "assets/governance/white-noise-first-response-receipt-surface-20260701.jpg",
  "source_output": "/Users/perlval/.codex/generated_images/019f1edb-4697-7bb1-8bad-0b67596ed9f9/ig_0f0fe49b8819b5c0016a455717cba4819b808bbe0312ab2de1.png",
  "created_at": "2026-07-01T18:05:00Z",
  "generator": "OpenAI built-in image generation",
  "use_case": "productivity-visual",
  "dimensions": {
    "width": 1672,
    "height": 941
  },
  "sha256": "90ff7ef5eae72654be1436a0a5798b232a8f64ecb9dc4c12c45ed703fbd45aad",
  "page_placement": [
    "wn-first-response-standard.html hero",
    "wn-first-response-standard.html#receipt-surface"
  ],
  "alt_text": "GPT-generated White Noise first-response receipt surface with route state, returned artifact, explicit boundary, next step, timestamp, provenance receipt, fallback email copy, owner-gap note, proof-boundary rail, and conversion handoff lane",
  "prompt": "Create an original, premium cinematic product-interface scene showing a White Noise first-response receipt surface, not a book cover. Dark futuristic editorial workspace with glassy black-metal desk, subtle cyan and warm white light, disciplined evidence-room atmosphere, crisp high-end SaaS/studio product feel, no people. A large central first-response receipt canvas showing abstract but not legibly fake UI panels for route state, one returned artifact, explicit boundary, next step, reply timestamp, source/provenance receipt, fallback email copy, and owner-gap note. Surround it with four small route cards, a proof-boundary rail, and a calm conversion handoff lane. 16:9 wide horizontal image, strong focal object centered slightly right, clear darker left side usable behind hero text, layered depth, polished product photography / cinematic UI mockup hybrid. White Noise Inc. restrained frontier technology aesthetic, deep black/navy base, cool cyan accents, a little white/silver edge light, serious governance/proof tone, modern AI assistant and operational dashboard feel.",
  "avoid_rules": [
    "Do not present as a book cover or W.N. book-cover target.",
    "Do not imply audited metrics, staffed support, active financing, production CRM, customer traction, legal review, or operational speculative technology.",
    "Do not include third-party logos, real brands, faces, hands, weapons, medical or lab claims, crypto or trading screens, watermarks, or readable fake legal claims."
  ],
  "research_references": [
    "https://runwayml.com/product",
    "https://www.figma.com/ai/",
    "https://linear.app/ai",
    "https://stripe.com/atlas",
    "https://www.instrument.com/work"
  ],
  "usage_boundary": "Editorial orientation image for the public first-response standard. It is not proof of monitored inbox coverage, audited response metrics, production CRM, staffed support workflow, active financing process, legal review, customer traction, or operational speculative technology.",
  "training_boundary": "No claim is made that White Noise trained an image model on this or any web-scale corpus. External references were used only as design-pattern research, not as source imagery or ML-training input.",
  "review_status": "Installed with page metadata, visible disclosure, and image sitemap entry on 2026-07-01."
}