[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-5-chatgpt-team-work-zh":3,"article-related-5-chatgpt-team-work-zh":32,"series-industry-57ae0a2e-970d-430a-9299-4ae2163a24d4":79},{"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},"57ae0a2e-970d-430a-9299-4ae2163a24d4","5-chatgpt-team-work-zh","5 個團隊把 ChatGPT 用進日常工作的地方","\u003Cp>\u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa> 團隊到底把 \u003Ca href=\"\u002Ftag\u002Fchatgpt\">ChatGPT\u003C\u002Fa> Work 和 \u003Ca href=\"\u002Ftag\u002Fcodex\">Codex\u003C\u002Fa> 用在哪些工作裡？\u003C\u002Fp>\u003Cp data-speakable=\"summary\">OpenAI 表示，幾乎所有內部團隊都在用 ChatGPT Work 和 Codex 來加快\u003Ca href=\"\u002Fnews\u002Fmidjourney-turns-prompt-ideas-into-art-zh\">流程\u003C\u002Fa>，處理更難的工作。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>主要用途\u003C\u002Fth>\u003Cth>適合部門\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>ChatGPT Work\u003C\u002Ftd>\u003Ctd>日常寫作、整理、摘要\u003C\u002Ftd>\u003Ctd>跨部門\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Codex\u003C\u002Ftd>\u003Ctd>寫程式、解讀與修改代碼\u003C\u002Ftd>\u003Ctd>工程團隊\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Finance workflows\u003C\u002Ftd>\u003Ctd>分析草稿、報告整理\u003C\u002Ftd>\u003Ctd>財務\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Sales workflows\u003C\u002Ftd>\u003Ctd>客戶資料整理、訊息草擬\u003C\u002Ftd>\u003Ctd>銷售\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Harder work\u003C\u002Ftd>\u003Ctd>複雜任務、專案推進\u003C\u002Ftd>\u003Ctd>管理與專業團隊\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. ChatGPT Work\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fchatgpt\u002F\">ChatGPT\u003C\u002Fa> Work 是最通用的一層，處理的是日常團隊任務，像起草、摘要、整理想法，讓人從空白頁更快走到可交付成果。OpenAI 自家團隊幾乎都在用，代表它已經不是試用工具，而是工作流程的一部分。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783794772501-xb61.png\" alt=\"5 個團隊把 ChatGPT 用進日常工作的地方\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>重點不只是它會寫文字，而是它能縮短「想到」到「做出來」之間的時間。對很多團隊來說，這種省下來的不是幾秒，而是整個啟動成本。\u003C\u002Fp>\u003Cul>\u003Cli>草擬 email、備忘錄、企劃文件\u003C\u002Fli>\u003Cli>摘要會議筆記與長串討論\u003C\u002Fli>\u003Cli>把零散想法整理成初稿架構\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. Codex\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fcodex\u002F\">Codex\u003C\u002Fa> 是偏向程式工作的搭檔，幫團隊更快寫、看、改代碼。原文把它和 ChatGPT Work 一起提到，意思很明確：這不只是讓工作變快，而是讓團隊能接更難的任務。\u003C\u002Fp>\u003Cp>工程工作常卡在切換上下文與理解細節。能協助實作、解釋程式路徑、整理修改建議的工具，通常能把時間還給設計與判斷。\u003C\u002Fp>\u003Cul>\u003Cli>協助產生程式碼與修改片段\u003C\u002Fli>\u003Cli>解釋不熟悉的 code path\u003C\u002Fli>\u003Cli>支援 review 與反覆迭代\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. 財務流程\u003C\u002Fh2>\u003Cp>財務是這篇內容裡很有代表性的一塊，因為它通常不被視為最愛嘗鮮的部門，但 OpenAI 仍把財務團隊列入內部\u003Ca href=\"\u002Fnews\u002Fclaude-reflect-turns-usage-into-retention-zh\">使用\u003C\u002Fa>者。這表示工具已經能進入結構化、要求高、但仍講求速度的工作。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783794768386-191e.png\" alt=\"5 個團隊把 ChatGPT 用進日常工作的地方\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對財務人員來說，價值在於減少重複分析與文件整理，同時保留最後判斷在人手上。它更像是生產力層，而不是取代專業的答案機器。\u003C\u002Fp>\u003Cul>\u003Cli>產出分析草稿與摘要\u003C\u002Fli>\u003Cli>整理內部審閱所需資料\u003C\u002Fli>\u003Cli>加速週期性報告工作\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>4. 銷售流程\u003C\u002Fh2>\u003Cp>銷售團隊同樣是 OpenAI 內部幾乎全面採用的一部分。這很合理，因為銷售工作很吃反應速度、訊息客製化，以及對客戶背景的即時掌握。\u003C\u002Fp>\u003Cp>實際上，這類工具能讓業務少花時間組材料，多花時間跟客戶互動。原文的意思很直接：例行準備一旦變快，客戶面對面的工作就能多出空間。\u003C\u002Fp>\u003Cul>\u003Cli>草擬開發信與跟進訊息\u003C\u002Fli>\u003Cli>在通話前整理客戶背景\u003C\u002Fli>\u003Cli>準備客製化提案素材\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. 更難的工作，不只是更快\u003C\u002Fh2>\u003Cp>這篇最重要的訊號，是 ChatGPT Work 和 Codex 被拿來處理更難的任務，而不只是把簡單工作做快一點。這個差別很關鍵，因為很多團隊早就會用 AI 寫短文，卻還沒把它放進真正重要的內部流程。\u003C\u002Fp>\u003Cp>OpenAI 的例子給出一個更實際的標準：如果工具能幫團隊承接複雜度，它就值得留在工作流裡。真正的收益不是新鮮感，而是把原本會拖慢或延後的工作，\u003Ca href=\"\u002Fnews\u002Fais-next-bottleneck-is-data-center-cooling-zh\">變成\u003C\u002Fa>可持續完成的任務。\u003C\u002Fp>\u003Cul>\u003Cli>支援複雜內部專案\u003C\u002Fli>\u003Cli>減少例行準備時間\u003C\u002Fli>\u003Cli>把人力留給客戶與判斷\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>怎麼挑\u003C\u002Fh2>\u003Cp>如果你想先解決日常辦公任務，\u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fchatgpt\u002F\">ChatGPT\u003C\u002Fa> Work 是最好的起點；如果你的工作以程式為主，\u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fcodex\u002F\">Codex\u003C\u002Fa> 更直接。財務與銷售團隊通常會先看到明顯效果，因為這兩類工作同時有重複性與時效壓力。\u003C\u002Fp>\u003Cp>如果你的目標只是寫得更快，兩者都可能有幫助；如果你的目標是把時間還給更高價值的判斷與客戶工作，OpenAI 的案例顯示，真正的提升來自把工具放進最耗時、最重複的環節。\u003C\u002Fp>","100% 的 OpenAI 團隊已把 ChatGPT Work 和 Codex 用進日常流程，從寫作、寫程式到財務與銷售，重點是更快完成更難的事。","openai.com","https:\u002F\u002Fopenai.com\u002Findex\u002Fchatgpt-for-your-most-ambitious-work\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783794772501-xb61.png","industry","zh","5e075274-406c-4dca-b47d-ddba408e7f13",[17,18,19,20,21,22,23],"ChatGPT Work","Codex","OpenAI","團隊工作流程","AI 生產力","財務流程","銷售流程",[25,26,27],"幾乎所有 OpenAI 內部團隊都在用 ChatGPT Work 和 Codex。","ChatGPT Work 適合日常文件、摘要與跨部門任務。","Codex 更適合程式開發、review 與技術理解。",0,"2026-07-11T18:32:21.948223+00:00","2026-07-11T18:32:21.941+00:00","5d37e1bb-c05a-45c6-92a0-f2c4ec2aa960",{"tags":33,"relatedLang":38,"relatedPosts":42},[34,36],{"name":19,"slug":35},"openai",{"name":18,"slug":37},"codex",{"id":15,"slug":39,"title":40,"language":41},"chatgpt-ambitious-team-work-en","ChatGPT now fits ambitious team work","en",[43,49,55,61,67,73],{"id":44,"slug":45,"title":46,"cover_image":47,"image_url":47,"created_at":48,"category":13},"d1753385-8c03-4dec-b939-e5ca8bae9030","opensearch-vector-search-benchmark-5-parts-zh","OpenSearch 向量搜尋基準的 5 種跑法","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783850566022-b79s.png","2026-07-12T10:02:22.269045+00:00",{"id":50,"slug":51,"title":52,"cover_image":53,"image_url":53,"created_at":54,"category":13},"6e790897-c9af-402c-a928-f2b0cc02f4e6","vector-databases-work-in-production-zh","4 種能上線的向量資料庫選擇","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783846963245-35py.png","2026-07-12T09:02:23.058273+00:00",{"id":56,"slug":57,"title":58,"cover_image":59,"image_url":59,"created_at":60,"category":13},"e5ae86b4-4434-48d4-86b4-146f609ce0a2","eu-ai-act-hits-business-systems-aug-2-2026-zh","歐盟 AI 法案上路前，企業先看這 5 件事","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783845168794-qyhi.png","2026-07-12T08:32:24.43396+00:00",{"id":62,"slug":63,"title":64,"cover_image":65,"image_url":65,"created_at":66,"category":13},"bc30f927-a6c9-4cdd-b734-6e8cd0b8265a","us-ai-law-2026-compliance-overview-zh","2026 美國 AI 法規控管地圖","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783843397232-2oow.png","2026-07-12T08:02:50.480302+00:00",{"id":68,"slug":69,"title":70,"cover_image":71,"image_url":71,"created_at":72,"category":13},"4d5e43ec-56bf-4ddf-aca0-e3b31065f132","webx-2026-agenda-stablecoins-ai-zh","WebX 2026 將穩定幣與 AI 推上主舞台","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783841563555-spp1.png","2026-07-12T07:32:24.035669+00:00",{"id":74,"slug":75,"title":76,"cover_image":77,"image_url":77,"created_at":78,"category":13},"4647fcd1-fee7-4819-958a-73a92587227a","gpt-56-full-suite-work-entry-openai-zh","GPT-5.6 全家桶不是炫技，是 OpenAI 的工作入口","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783837980636-jmwn.png","2026-07-12T06:32:32.520158+00:00",[80,85,90,95,100,105,110,115,120,125],{"id":81,"slug":82,"title":83,"created_at":84},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":86,"slug":87,"title":88,"created_at":89},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":91,"slug":92,"title":93,"created_at":94},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":96,"slug":97,"title":98,"created_at":99},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":101,"slug":102,"title":103,"created_at":104},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":106,"slug":107,"title":108,"created_at":109},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":111,"slug":112,"title":113,"created_at":114},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":116,"slug":117,"title":118,"created_at":119},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":121,"slug":122,"title":123,"created_at":124},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":126,"slug":127,"title":128,"created_at":129},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]