{
  "asset": "assets/library/wn-library-decision-index-20260702.png",
  "created_at": "2026-07-02T15:55:00Z",
  "generator": "OpenAI built-in image generation tool",
  "source_output": "/Users/perlval/.codex/generated_images/019f2388-bd54-7d40-a5bb-e3b7cf259d1c/ig_00eadc4277dc6d48016a4689c10e48819baa7811764a64900d.png",
  "dimensions": {
    "width": 1672,
    "height": 941
  },
  "sha256": "906a4ac5b427ef51355ed99bde5e066f8a1b1b403cc43e17510220d4d8756653",
  "use_case": "productivity-visual",
  "intended_use": [
    "wn-library.html Library Decision Index section feature visual",
    "image-sitemap.xml Library page image entry",
    "White Noise Library editorial product-direction art"
  ],
  "prompt": {
    "asset_type": "White Noise Inc. Library page editorial section image, 16:9 web feature visual",
    "primary_request": "Create a premium Library decision index for White Noise Inc. showing how a visitor chooses between public reference, source text, member corpus, source-rights review, and scoped handoff before asking for an answer.",
    "scene_backdrop": "Dark modern editorial research studio, not a science lab and not a fantasy library. A matte graphite strategy table with abstract source cards, route tiles, evidence receipts, provenance tabs, reading packets, and a restrained wall display showing a route map. No readable words, no fake interface labels.",
    "subject": "A polished source-to-route decision surface: five distinct lanes for reference lookup, canon reading, member corpus, rights/provenance review, and scoped services handoff. Include subtle proof-state lights and receipt tokens, but keep everything abstract and non-claiming.",
    "style_medium": "Cinematic realistic editorial product photography with premium SaaS/product strategy visual language, sophisticated and restrained.",
    "composition_framing": "Wide 16:9 landscape, strong foreground table with decision cards, clear midground route lanes, background wall display, enough negative space for web overlays, crisp depth.",
    "lighting_mood": "Dark graphite room with cool white, cyan, and blue UI light; small green validation accents; subtle amber paper edge light; serious, calm, inspectable.",
    "color_palette": "Black, graphite, cool white, cyan, blue, small green proof-state marks, tiny amber highlights. Avoid beige-dominant, purple-dominant, or orange/brown palettes.",
    "materials_textures": "Matte paper packets, glass overlays, brushed graphite metal, acrylic cards, low-glare screens.",
    "text": "No readable words or fake labels. Use abstract lines, blocks, checkmarks, dates, and diagram marks only.",
    "constraints": "Original generated bitmap; no human faces; no third-party logos; no readable fake UI; no cryptocurrency, token, trading, military, robotics, wet-lab, medical, or weapons imagery; no book-cover layout; no watermark; no frozen-product references.",
    "avoid": "Generic glowing schematic, magical archive, overstuffed dashboard, fake claims, brand imitation, data-center hardware, lab benches, sci-fi cockpit, trading screens."
  },
  "alt_text": "AI-generated White Noise Library decision index with five abstract source-route lanes, reading packets, provenance cards, proof-state lights, and scoped handoff controls on a dark editorial research table",
  "research_references": [
    {
      "name": "Linear",
      "url": "https://linear.app/",
      "observed_pattern": "Presents product UI, workflow states, intake, routing, and agent collaboration as the brand surface instead of relying only on abstract copy."
    },
    {
      "name": "Stripe Atlas",
      "url": "https://stripe.com/atlas",
      "observed_pattern": "Turns a complex business process into an explicit checklist with steps, price, legal boundary, and post-action navigation."
    },
    {
      "name": "Runway product page",
      "url": "https://runwayml.com/product",
      "observed_pattern": "Groups many creative capabilities into tool/app pathways with repeated try-now actions close to the artifact being evaluated."
    },
    {
      "name": "Figma AI",
      "url": "https://www.figma.com/ai/",
      "observed_pattern": "Frames the product as an end-to-end workflow with explore, polish, and ship stages plus visibility into team controls."
    },
    {
      "name": "Instrument work index",
      "url": "https://www.instrument.com/work",
      "observed_pattern": "Uses a work index to separate brand, product, marketing, proof, and contact intent without overexplaining every case."
    },
    {
      "name": "Pentagram work index",
      "url": "https://www.pentagram.com/work",
      "observed_pattern": "Uses restrained editorial filtering by discipline and sector so the visitor can enter by the job they need done."
    }
  ],
  "usage_boundary": "GPT-generated editorial product-direction art for the White Noise Library. It is not a live archive screenshot, audited corpus interface, production entitlement dashboard, customer workflow, trained model, web-scale source ingestion proof, legal rights clearance, or proof of speculative technology deployment.",
  "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 Library section use after visual inspection. The image depicts abstract source-route lanes, reading packets, provenance cards, and proof-state controls without readable fake labels, third-party marks, frozen-product references, trading screens, lab imagery, or claim-heavy UI."
}