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  "created_at": "2026-06-29T06:21:18-07:00",
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    "fallback_cli_used": false
  },
  "dimensions": {
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  },
  "prompt_intent": "Create an original W.N. AI Dataset Registry review-room image that explains licensed source intake, verification gates, exclusion queues, provider receipts, dataset/model cards, and blocked web-scale ingestion without implying completed model training.",
  "prompt_summary": {
    "asset_type": "website hero and section image for the White Noise Inc. W.N. AI Dataset Registry route",
    "scene": "dark aerospace-grade image-model source intake room with source lanes, license evidence, robots/TOS review, exclusion queue, dataset card, model card, provider receipt, and provenance panels",
    "composition": "wide 16:9 frame with central register/verify/evaluate/release gates, source cards on the left, governance panels on the right, and a visibly blocked web-scale lane",
    "palette": "deep black/navy, cool white, cyan, electric blue, muted steel, and small green/amber/red status cues",
    "text_policy": "short generic interface labels only; no third-party logos, real company names, or paragraphs"
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  "page_usage": [
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    },
    {
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  "training_boundary": "Generated for website display and prototype governance communication. Do not use this asset as evidence of model training. Do not add it to any ML training corpus until per-asset rights, provider terms, project training permissions, and dataset registry records are reviewed and approved.",
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  "avoidance_notes": [
    "Do not treat W.N. book covers as the visual target.",
    "Do not imply White Noise has trained on web-scale image corpora.",
    "Do not imply licensed source packages exist until the registry records them.",
    "Do not imply a staffed legal, compliance, or dataset operations team.",
    "Do not use this as proof of a public in-house W.N. image model release."
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}