# GPT Image Hub prompt

## Japanese AI Prescription Form Parody
- URL: https://www.gptimagehub.com/library/japanese-ai-prescription-form-parody
- Generator URL: https://www.gptimagehub.com/generate?promptId=oss-ym-g2-14536
- Markdown URL: https://www.gptimagehub.com/api/agent/markdown?path=%2Flibrary%2Fjapanese-ai-prescription-form-parody
- Category: Other
- Model: gpt-image-2
- Aspect ratio: 3:4
- Style: photorealistic
- Tags: prescription, parody, japanese document, flat lay, office paper, humor
- Updated: 2026-10-27T21:55:13.098Z
- Created: 2026-10-27T21:55:13.098Z

Generates a realistic top-down photo of an authentic-looking Japanese medical prescription diagnosing an AI model. Swap out the model name, symptom bullet points, or stamp text to personalize.

### Full prompt
```text
{
  "type": "Japanese prescription document parody",
  "style": "photorealistic overhead document photography",
  "subject": "a single white official prescription sheet printed in Japanese, placed flat on a warm-toned wooden tabletop",
  "document": {
    "paper": {
      "size": "A4 portrait",
      "color": "white",
      "orientation": "slightly rotated clockwise",
      "condition": "clean flat sheet with subtle natural paper texture"
    },
    "print": {
      "ink": "crisp black typography with one vermilion red seal stamp",
      "font": "Japanese Mincho-style serif mixed with clean gothic sans-serif for table text",
      "linework": "thin gray-black ruled boxes, grid lines, and dividers"
    },
    "header": {
      "title": "処方箋",
      "subtitle": "（この処方箋は、大規模言語モデル用です）",
      "date_label": "発行日：",
      "date_value": "[2025年6月5日]"
    },
    "top_fields": {
      "count": 4,
      "items": [
        { "label": "患者名", "value": "[ChatGPT]" },
        { "label": "性別", "value": "N/A" },
        { "label": "年齢", "value": "N/A" },
        { "label": "モデル名", "value": "[GPT-5.4 Thinking]" }
      ]
    },
    "main_section": {
      "left_title": "持病・症状（大規模言語モデル特有の持病）",
      "left_items": [
        "1．幻覚（Hallucination）傾向",
        "2．知識のカットオフによる情報の陳腐化",
        "3．バイアス（学習データ由来の偏見）",
        "4．プロンプトに対する過剰適応（迎合傾向）",
        "5．長文での一貫性の低下",
        "6．複雑な推論時の論理飛躍",
        "7．不確実性の過小評価（自信過剰）",
        "8．計算資源使用による応答速度の低下傾向"
      ],
      "right_title": "処方内容（治療・対策）",
      "right_items": [
        "・事実確認の強化（外部ツール併用）",
        "・定期的な知識更新とファインチューニング",
        "・バイアス検出と軽減の継続的モニタリング",
        "・システムプロンプトによる適切な制御",
        "・出力の構造化と分割生成の推奨",
        "・思考過程の明示と検証ステップの導入",
        "・不確実性の明示と根拠提示の徹底",
        "・リソース最適化と応答効率の改善"
      ]
    },
    "notes": {
      "label": "備考",
      "text": "継続的な評価とフィードバックにより、モデルの健全性を維持すること。"
    },
    "footer_fields": [
      { "label": "医師名", "value": "[サム・アルトマン]" },
      { "label": "医療機関名", "value": "[OpenAI]" }
    ],
    "seal": {
      "position": "bottom right corner inside the form",
      "shape": "rounded rectangular red inkan stamp box",
      "text_lines": 3,
      "text": ["OpenAI", "代表取締役", "サム・アルトマン"]
    },
    "disclaimer": "※この処方箋は非実在のモデルに対する診断・治療を目的としたものです。"
  },
  "layout": {
    "camera_angle": "top-down overhead flat lay",
    "framing": "entire sheet visible with narrow margins of warm wooden desk visible around borders",
    "lighting": "soft indoor ambient daylight, subtle paper cast shadows along edges"
  }
}
```