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  "aboutHtml": "<h3>處理文字資料</h3><p>GPT-6.1 Terra Pro 在 Ailoot API 接受文字請求並傳回文字答案。本模型卡可納入文件準備、原始資料分析，以及透過對話持續修訂結果的流程。可在一次請求或多則對話訊息中，提供任務內容、必要資訊與所需答案形式。</p><h3>準備文件</h3><p>先從目的開始：需要什麼文件、讀者是誰，以及它應協助完成什麼行動。附上重點、來源片段或草稿，再指定結構，例如前言、主要結論、論證與後續步驟。編輯時請說明要修改的是長度、語氣、術語或敘述順序。這種請求提供可驗證結果，比籠統要求「改善文字」更清楚。</p><h3>分析與比對</h3><p>分析多份資料時，請用名稱區分，並說明比較標準。可要求每份文字的簡短內容、共同問題清單，或逐點需求對照。若重視精確對應來源，請要求在結論旁標示文件名稱與相關片段。欄位清單與填寫範例有助於取得方便後續人工處理的答案格式。</p><h3>連線與容量</h3><p>Ailoot API 為本模型卡設定了 Messages、Responses、Chat Completions 及 Gemini 相容的 generateContent 文字介面。請使用客戶端支援的訊息格式。文件與其他原始資料內容以文字傳入；結果也是可儲存、編輯或交給下一階段工作的文字。</p><p>準備大型任務時，請在原始資料、指示與預期答案之間分配容量。若需簡短結論，請在請求中直接指定長度；若重視完整性，請列出必要章節與驗證標準。</p><h3>請求順序</h3><ol><li>描述最終任務並附上原文。</li><li>指定限制與所需結構。</li><li>將答案與原始資料比對。</li><li>在保留整體目標與需求的前提下，修訂個別章節。</li></ol>",
  "aboutText": "### 處理文字資料\nGPT-6.1 Terra Pro 在 Ailoot API 接受文字請求並傳回文字答案。本模型卡可納入文件準備、原始資料分析，以及透過對話持續修訂結果的流程。可在一次請求或多則對話訊息中，提供任務內容、必要資訊與所需答案形式。\n\n### 準備文件\n先從目的開始：需要什麼文件、讀者是誰，以及它應協助完成什麼行動。附上重點、來源片段或草稿，再指定結構，例如前言、主要結論、論證與後續步驟。編輯時請說明要修改的是長度、語氣、術語或敘述順序。這種請求提供可驗證結果，比籠統要求「改善文字」更清楚。\n\n### 分析與比對\n分析多份資料時，請用名稱區分，並說明比較標準。可要求每份文字的簡短內容、共同問題清單，或逐點需求對照。若重視精確對應來源，請要求在結論旁標示文件名稱與相關片段。欄位清單與填寫範例有助於取得方便後續人工處理的答案格式。\n\n### 連線與容量\nAiloot API 為本模型卡設定了 Messages、Responses、Chat Completions 及 Gemini 相容的 generateContent 文字介面。請使用客戶端支援的訊息格式。文件與其他原始資料內容以文字傳入；結果也是可儲存、編輯或交給下一階段工作的文字。\n\n準備大型任務時，請在原始資料、指示與預期答案之間分配容量。若需簡短結論，請在請求中直接指定長度；若重視完整性，請列出必要章節與驗證標準。\n\n### 請求順序\n1. 描述最終任務並附上原文。\n2. 指定限制與所需結構。\n3. 將答案與原始資料比對。\n4. 在保留整體目標與需求的前提下，修訂個別章節。",
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