{
  "asset": "assets/home/wn-ai-source-revocation-drill-20260629.png",
  "createdAt": "2026-06-29T16:21:51Z",
  "generator": "OpenAI GPT image generation via Codex built-in image_gen tool",
  "useCase": "ui-mockup",
  "placement": "W.N. AI Dataset Registry revocation drill section",
  "altText": "AI-generated W.N. AI source revocation drill with source cards, exclusion queue, affected-output map, retained receipts, rollback checklist, and release note route",
  "promptIntent": "Create an original dataset-governance product-surface image showing how W.N. AI should remove or exclude an image source after rights change while preserving receipts, affected-output review, dataset/model-card updates, and public disclosure routing.",
  "prompt": "Use case: ui-mockup\nAsset type: website editorial product-surface image for White Noise Inc. W.N. AI Dataset Registry page, 16:9 wide section visual\nPrimary request: Create an original premium product-interface scene titled conceptually \"W.N. AI source revocation drill\" showing how an image dataset source can be removed or excluded from future model/output routes while preserving receipts.\nScene/backdrop: dark aerospace-grade review room with a central decision console and surrounding source cards, exclusion queue, affected-output map, dataset-card update panel, provider receipt drawer, rollback checklist, and public disclosure route.\nSubject: a disciplined AI image-source governance workflow: source package selected, license status changed, removal/exclusion path triggered, affected outputs reviewed, dataset/model card updated, release note prepared.\nStyle/medium: high-end editorial 3D/UI composite, sophisticated product website visual, sharp glass panels, matte black metal, subtle cyan/blue interface glow, restrained amber and green status accents.\nComposition/framing: wide 16:9, central console dominant, left source/revocation rail, right receipt/release rail, bottom sequence of five compact checkpoint cards; leave safe space near lower-left for page caption overlay.\nLighting/mood: calm serious governance lab, low-key studio lighting, crisp readable object hierarchy, no fantasy atmosphere.\nColor palette: White Noise brand dark base (#04060c), cool white, cyan, electric blue, restrained amber for review status and green for accepted exclusion.\nMaterials/textures: glass UI sheets, brushed black metal, paper-like source packets, small receipt chips, subtle grid lines.\nText (verbatim): include only these short labels if any: \"SOURCE\", \"REVOKE\", \"EXCLUDE\", \"RECEIPT\", \"RELEASE\".\nConstraints: original generated bitmap; no third-party website screenshots; no app logos; no real company marks; no identifiable people; no book covers; no crypto/trading, medical, or investment imagery; no claim of completed model training, legal clearance, or web-scale ingestion. The visual is concept art for governance workflow only.\nAvoid: generic glowing orbs, fantasy portals, militarized command center, stock-photo people, beige palette, purple-dominant gradient, dense illegible text, book-cover styling, watermark.",
  "sourceImage": "/Users/perlval/.codex/generated_images/019f142a-f4c1-7681-b518-c833a3d15fca/ig_06c576a077a869d9016a429ad149a0819990591cf53b711ded.png",
  "localCopy": "assets/home/wn-ai-source-revocation-drill-20260629.png",
  "dimensions": {
    "width": 1672,
    "height": 941
  },
  "usageNotes": "Original GPT-generated editorial/product-direction art only. The source names, dataset labels, file counts, dates, receipts, and workflow details visible in the image are illustrative interface placeholders, not real source records, legal findings, provider receipts, or proof of completed dataset operations. The asset is not a W.N. book cover, not a copied benchmark interface, not proof of W.N.-trained image-model capability, and not evidence of web-scale ingestion.",
  "rightsNotes": "Generated for this project with no remote hotlinking. External benchmark sites were used for design research and pattern synthesis only, not as direct visual source images or training-data claims.",
  "negativeConstraintsChecked": [
    "no third-party brand marks or website screenshots",
    "no W.N. book-cover styling as primary target",
    "no crypto, medical, investment, or production-SLA imagery",
    "no claim of completed model training or web-scale ingestion",
    "no identifiable real people"
  ]
}