[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-microsoft-copilot-2026-update-real-workflows-zh":3,"article-related-microsoft-copilot-2026-update-real-workflows-zh":32,"series-ai-agent-e89b08e5-f5ea-48c9-a850-d8cea711effb":83},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":24,"views":28,"created_at":29,"published_at":30,"topic_cluster_id":31},"e89b08e5-f5ea-48c9-a850-d8cea711effb","microsoft-copilot-2026-update-real-workflows-zh","Copilot 2026 更新瞄準真實工作","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fmicrosoft\">Microsoft\u003C\u002Fa> 2026 年的 \u003Ca href=\"\u002Ftag\u002Fcopilot\">Copilot\u003C\u002Fa> 更新，重點是會議理解、情境排程，還有更精準的提示寫法。\u003C\u002Fp>\u003Cp>說真的，這次方向很務實。\u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fmicrosoft-copilot\" target=\"_blank\" rel=\"noopener\">Microsoft Copilot\u003C\u002Fa> 不再只想當聊天機器人。它開始往真正的工作流程靠近。\u003C\u002Fp>\u003Cp>這件事很重要。因為企業用 \u003Ca href=\"\u002Fnews\u002F170-member-aaif-backs-10-open-source-ai-agent-frameworks-zh\">AI\u003C\u002Fa>，最後拼的不是會不會講話。拼的是能不能少改幾次、少問幾輪、少浪費幾分鐘。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>功能\u003C\u002Fth>\u003Cth>作用\u003C\u002Fth>\u003Cth>實際價值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>即時會議理解\u003C\u002Ftd>\u003Ctd>跟著會議內容抓重點\u003C\u002Ftd>\u003Ctd>減少手動記錄與補筆記\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>情境式排程\u003C\u002Ftd>\u003Ctd>根據上下文建議時間\u003C\u002Ftd>\u003Ctd>降低來回喬時間的成本\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>五段式提示法\u003C\u002Ftd>\u003Ctd>把需求拆得更清楚\u003C\u002Ftd>\u003Ctd>讓複雜任務更容易交付\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>Microsoft 想解的痛點\u003C\u002Fh2>\u003Cp>很多 \u003Ca href=\"\u002Fnews\u002Fopenagents-shared-workspace-for-ai-agents-zh\">AI\u003C\u002Fa> 助理都卡在同一個問題。簡單問答還行，一碰到真工作就露餡。像是排會議、整理會議紀錄、寫後續行動項目，這些都需要上下文。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779132244406-2wa7.png\" alt=\"Copilot 2026 更新瞄準真實工作\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>你如果在 \u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fmicrosoft-365\u002Fcopilot\" target=\"_blank\" rel=\"noopener\">Microsoft 365 Copilot\u003C\u002Fa> 裡工作，資料通常散在 Outlook、Teams、Word、Excel。AI 如果只看單一句 prompt，常常會猜錯。\u003C\u002Fp>\u003Cp>Microsoft 這次的做法很直白。它想讓 Copilot 看懂工作環境，而不是只看懂一句話。這差很多，因為真正的工作不是單題測驗，是一串連著一串的任務。\u003C\u002Fp>\u003Cul>\u003Cli>會議理解可直接變成摘要與待辦。\u003C\u002Fli>\u003Cli>情境式排程可減少日曆來回確認。\u003C\u002Fli>\u003Cli>五段式提示法可降低模糊輸出。\u003C\u002Fli>\u003Cli>對 Outlook、Teams、Word 使用者更有感。\u003C\u002Fli>\u003C\u002Ful>\u003Cp>我覺得這條路是對的。\u003Ca href=\"\u002Ftag\u002F企業軟體\">企業軟體\u003C\u002Fa>最怕使用門檻高。只要 AI 還得靠人重複解釋，它就很難真的進入日常。\u003C\u002Fp>\u003Ch2>為什麼提示結構很重要\u003C\u002Fh2>\u003Cp>五段式提示法聽起來很教科書，但其實很實用。很多人還是習慣丟一句話，然後期待模型自己腦補。講白了，這種用法常常翻車。\u003C\u002Fp>\u003Cp>一個完整提示，通常要講清楚目標、背景、限制、輸出格式、語氣。這樣 Copilot 才比較可能一次給出可用內容，而不是一份要你重寫的草稿。\u003C\u002Fp>\u003Cp>這也反映出一個現實。\u003Ca href=\"\u002Ftag\u002Fai-工具\">AI 工具\u003C\u002Fa>越強，使用者越不能亂問。提示詞不是魔法咒語，它更像工作指令。你講得越清楚，結果通常越穩。\u003C\u002Fp>\u003Cblockquote>“The future of work is not about replacing people, it’s about giving them better tools.” — Satya Nadella, Microsoft Build 2023 keynote\u003C\u002Fblockquote>\u003Cp>這句話出自 \u003Ca href=\"https:\u002F\u002Fnews.microsoft.com\u002Fbuild-2023\u002F\" target=\"_blank\" rel=\"noopener\">Satya Nadella\u003C\u002Fa>。放在這裡很貼切。Microsoft 一直把 Copilot 包裝成減少雜務的工具，而不是單純的聊天介面。\u003C\u002Fp>\u003Cp>如果它真的能把提示結構變成工作流程的一部分，那就有意思了。因為使用者不必每次都從零開始想\u003Ca href=\"\u002Fnews\u002Fhow-to-engineer-prompts-for-ai-agents-zh\">怎麼\u003C\u002Fa>問。\u003C\u002Fp>\u003Ch2>和其他 AI 助理比，差在哪裡\u003C\u002Fh2>\u003Cp>拿 \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fchatgpt\u002F\" target=\"_blank\" rel=\"noopener\">ChatGPT\u003C\u002Fa> 來比，Copilot 的強項不是泛用聊天。ChatGPT 很適合發想、寫作、推理。Copilot 則是要吃進工作資料，直接接在辦公流程裡。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779132243688-o7xl.png\" alt=\"Copilot 2026 更新瞄準真實工作\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>再看 \u003Ca href=\"https:\u002F\u002Fworkspace.google.com\u002Fproducts\u002Fgemini\u002F\" target=\"_blank\" rel=\"noopener\">Gemini for Google Workspace\u003C\u002Fa>，它的優勢是 Google 文件、信箱、日曆整合。Microsoft 的優勢則是企業滲透率。很多公司本來就活在 Microsoft 365 裡。\u003C\u002Fp>\u003Cp>這代表 Copilot 的成敗，跟上下文能力綁很緊。它如果能讀懂會議、行事曆、文件脈絡，價值就會明顯上升。反過來說，如果還是常常答非所問，那就只是介面更漂亮的聊天框。\u003C\u002Fp>\u003Cul>\u003Cli>\u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fchatgpt\u002F\" target=\"_blank\" rel=\"noopener\">ChatGPT\u003C\u002Fa>：強在通用問答與寫作。\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fworkspace.google.com\u002Fproducts\u002Fgemini\u002F\" target=\"_blank\" rel=\"noopener\">Gemini\u003C\u002Fa>：強在 Google Workspace 整合。\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fmicrosoft-copilot\" target=\"_blank\" rel=\"noopener\">Copilot\u003C\u002Fa>：強在 Microsoft 365 工作資料。\u003C\u002Fli>\u003Cli>企業用戶更在意流程整合，不只看模型參數。\u003C\u002Fli>\u003C\u002Ful>\u003Cp>這裡還有一個現實問題。企業不缺 AI Demo，缺的是能少出錯的工具。只要 Copilot 能把會議和排程做穩，很多人就願意繼續用。\u003C\u002Fp>\u003Ch2>這波更新代表什麼\u003C\u002Fh2>\u003Cp>這次更新透露出一個趨勢。AI 助理正在從「回答問題」走向「處理任務」。這不是口號，而是產品設計方向的改變。\u003C\u002Fp>\u003Cp>如果一個工具能理解會議內容、抓住排程限制、整理後續行動，那它就不只是資訊入口。它開始碰到真正的工作分工。\u003C\u002Fp>\u003Cp>我比較在意的是落地效果。Demo 很容易做，真實環境很難。只要會議裡有人亂插話、資訊不完整、時間一直改，AI 就很容易失準。\u003C\u002Fp>\u003Ch2>背景脈絡也很清楚\u003C\u002Fh2>\u003Cp>Microsoft 這幾年一直把 AI 塞進既有產品。它不是要你換一套工具，而是要你在原本的軟體裡直接用。這招很務實，因為切換成本最傷人。\u003C\u002Fp>\u003Cp>對台灣很多團隊來說，這也很有感。公司常常已經買了 Microsoft 365。若 Copilot 真能把會議、文件、郵件串起來，導入門檻就比新創 AI 工具低很多。\u003C\u002Fp>\u003Cp>問題只剩一個。它到底能不能穩定懂上下文。只要這件事做不好，再多功能都只是裝飾。\u003C\u002Fp>\u003Ch2>接下來要看什麼\u003C\u002Fh2>\u003Cp>接下來我會看兩件事。第一，Copilot 在真實會議裡的準確度。第二，五段式提示法會不會真的讓使用者少改稿。\u003C\u002Fp>\u003Cp>如果它能把「問 AI」變成「交工作」，那 Microsoft 就贏得很實際。反過來，如果還是得人工修半天，那這次更新就只是更像樣的包裝。\u003C\u002Fp>\u003Cp>講白了，2026 年的 Copilot 值不值得用，不看宣傳詞。看它能不能幫你少做 20 分鐘雜事。這才是企業軟體該交的成績單。\u003C\u002Fp>","Microsoft 2026 年 Copilot 更新主打會議理解、情境排程與五段式提示法，想把 AI 從聊天工具拉進真正的工作流程。","www.msn.com","https:\u002F\u002Fwww.msn.com\u002Fen-us\u002Fnews\u002Fother\u002Fmicrosoft-copilot-2026-updates-turn-advanced-prompts-into-real-workflow-wins\u002Fgm-GM5A8DCAF5",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779132244406-2wa7.png","ai-agent","zh","e839503a-27d2-4164-813d-e1f6891c477d",[17,18,19,20,21,22,23],"Microsoft Copilot","AI 助理","Microsoft 365","會議理解","情境式排程","提示詞設計","企業 AI",[25,26,27],"Copilot 2026 更新重點是會議理解與情境式排程。","五段式提示法的目的，是讓複雜工作更容易一次做對。","Copilot 的競爭力，關鍵在 Microsoft 365 的上下文整合。",6,"2026-05-18T19:23:36.505982+00:00","2026-05-18T19:23:36.49+00:00","e3b68196-9e64-4c18-a3b6-a73e73bfb367",{"tags":33,"relatedLang":42,"relatedPosts":46},[34,36,38,39,40],{"name":19,"slug":35},"microsoft-365",{"name":18,"slug":37},"ai-助理",{"name":20,"slug":20},{"name":21,"slug":21},{"name":17,"slug":41},"microsoft-copilot",{"id":15,"slug":43,"title":44,"language":45},"microsoft-copilot-2026-update-real-workflows-en","Microsoft Copilot’s 2026 update targets real work","en",[47,53,59,65,71,77],{"id":48,"slug":49,"title":50,"cover_image":51,"image_url":51,"created_at":52,"category":13},"83c2f8f6-3710-466e-b52c-473b811f0535","how-to-set-up-openclaw-safely-zh","如何安全架設 OpenClaw","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780549368665-1t2l.png","2026-06-04T05:02:21.26625+00:00",{"id":54,"slug":55,"title":56,"cover_image":57,"image_url":57,"created_at":58,"category":13},"0ba5b1a8-82c5-464a-bea5-9a2c8730da74","aws-devops-agent-turns-incident-chaos-into-triage-zh","AWS DevOps Agent 把事故排查變成三步","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780466689960-g1sv.png","2026-06-03T06:03:14.154923+00:00",{"id":60,"slug":61,"title":62,"cover_image":63,"image_url":63,"created_at":64,"category":13},"841eac88-b0f0-4a4c-9e1e-efc3b5c16281","kimi-k26-live-300-agent-workflows-zh","Kimi K2.6 上線：300 代理工作流","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780430574285-hqpn.png","2026-06-02T20:02:24.972179+00:00",{"id":66,"slug":67,"title":68,"cover_image":69,"image_url":69,"created_at":70,"category":13},"f0411957-bcdb-42d9-a267-3e90ae7d9cb1","how-to-take-a-sabbatical-at-openai-zh","怎麼申請 OpenAI sabbatical","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780398216422-8fi7.png","2026-06-02T11:02:25.74372+00:00",{"id":72,"slug":73,"title":74,"cover_image":75,"image_url":75,"created_at":76,"category":13},"37a5e429-4235-439c-9b05-bb377085462c","8-steps-build-production-rag-with-langchain-zh","8 步驟打造可上線的 LangChain RAG","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780178597493-4hz7.png","2026-05-30T22:02:48.14022+00:00",{"id":78,"slug":79,"title":80,"cover_image":81,"image_url":81,"created_at":82,"category":13},"e73c041b-852b-44c3-85aa-0f1e2e5848e3","ai-agents-hit-chaos-mode-claude-code-openclaw-zh","Claude Code＋OpenClaw 讓 AI 代理失控升溫","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780160576178-yqcs.png","2026-05-30T17:02:25.725767+00:00",[84,89,94,99,104,109,114,119,124,129],{"id":85,"slug":86,"title":87,"created_at":88},"4ae1e197-1d3d-4233-8733-eafe9cb6438b","claude-now-uses-your-pc-to-finish-tasks-zh","Claude 開始幫你操作電腦","2026-03-26T07:20:48.457387+00:00",{"id":90,"slug":91,"title":92,"created_at":93},"5bede67f-e21c-413d-9ab8-54a3c3d26227","googles-2026-ai-agent-report-decoded-zh","Google 2026 AI Agent 報告解讀","2026-03-26T11:15:22.651956+00:00",{"id":95,"slug":96,"title":97,"created_at":98},"2987d097-563f-46c7-b76f-b558d8ef7c2b","kimi-k25-review-stronger-still-not-legend-zh","Kimi K2.5 評測：更強，但還不是神作","2026-03-27T07:15:55.277513+00:00",{"id":100,"slug":101,"title":102,"created_at":103},"95c9053b-e3f4-4cb5-aace-5c54f4c9e044","claude-code-controls-mac-desktop-zh","Claude Code 也能操控 Mac 了","2026-03-28T03:01:58.58121+00:00",{"id":105,"slug":106,"title":107,"created_at":108},"dc58e153-e3a8-4c06-9b96-1aa64eabbf5f","cloudflare-100x-faster-ai-agent-sandbox-zh","Cloudflare 的 AI 沙箱跑超快","2026-03-28T03:09:44.142236+00:00",{"id":110,"slug":111,"title":112,"created_at":113},"1c8afc56-253f-47a2-979f-1065ff072f2a","openai-backs-isara-agent-swarm-bet-zh","OpenAI 挺 Isara 的 agent swarm …","2026-03-28T03:15:27.513155+00:00",{"id":115,"slug":116,"title":117,"created_at":118},"7379b422-576e-45df-ad5a-d57a0d9dd467","openai-plan-automated-ai-researcher-zh","OpenAI 想做自動化 AI 研究員","2026-03-28T03:17:42.090548+00:00",{"id":120,"slug":121,"title":122,"created_at":123},"48c9889e-86df-450b-a356-e4a4b7c83c5b","harness-engineering-ai-agent-reliability-2026-zh","駕馭工程：從「馬具」到「作業系統」，AI Agent 可靠性的終極密碼","2026-03-31T06:42:53.556721+00:00",{"id":125,"slug":126,"title":127,"created_at":128},"96d8e8c8-1edd-475d-9145-b1e7a1b02b65","mcp-explained-from-prompts-to-production-zh","MCP 怎麼把提示詞變工作流","2026-04-01T09:24:39.321274+00:00",{"id":130,"slug":131,"title":132,"created_at":133},"f2ca7720-b471-4ce5-9336-2a9ac2a876fd","amazon-bedrock-agents-multi-agent-workflows-zh","Amazon Bedrock Agents 進入多代理工作流","2026-04-01T09:30:29.945429+00:00"]