[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-dewuu-community-activity-ai-practice-levels-en":3,"article-related-dewuu-community-activity-ai-practice-levels-en":33,"series-industry-32572af1-249e-49e0-9a6c-33b144dabcc3":80},{"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":25,"views":29,"created_at":30,"published_at":31,"topic_cluster_id":32},"32572af1-249e-49e0-9a6c-33b144dabcc3","dewuu-community-activity-ai-practice-levels-en","得物社区活动搭建的 AI 实践：4 个层级","\u003Cp data-speakable=\"summary\">得物社区活动搭建从表单走向 \u003Ca href=\"\u002Ftag\u002Fagent\">Agent\u003C\u002Fa>，核心是把流程拆成可控的四个层级。\u003C\u002Fp>\u003Cp>这篇文章用 \u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 的 Agentic 系统复杂度光谱，拆开得物社区活动搭建的 AI 实践路径。你会看到 4 个层级分别适合什么场景，以及为什么它们更像一条渐进升级路线，而不是一次性跳到全自动。\u003C\u002Fp>\u003Ch2>1. 表单驱动的人工流程\u003C\u002Fh2>\u003Cp>最开始的活动搭建，通常先靠表单收集信息，再由运营或产品同学人工整理、审核和发布。这个阶段的优点是规则清楚、风险低，适合活动类型固定、字段稳定的场景。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782547363870-152a.png\" alt=\"得物社区活动搭建的 AI 实践：4 个层级\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>它的问题也很明显：信息重复填写，跨角色沟通成本高，改一处要同步多处。对于活动频繁、模版多、审核链路长的团队来说，人工流程很快会成为瓶颈。\u003C\u002Fp>\u003Cul>\u003Cli>适合：低频活动、字段固定、审批要求高\u003C\u002Fli>\u003Cli>常见动作：填表、转发、人工校验、手动上线\u003C\u002Fli>\u003Cli>主要痛点：重复劳动、信息丢失、响应慢\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. Prompt Chaining 的半自动流转\u003C\u002Fh2>\u003Cp>当团队开始把表单内容交给模型处理，第一步通常不是让模型“全能化”，而是把任务拆成一串可控的 Prompt Chaining。比如先抽取活动信息，再生成文案，再做格式检查，每一步都能单独看结果。\u003C\u002Fp>\u003Cp>这种方式的价值在于可解释、可回滚，也方便把错误限制在单一环节。它比纯人工快，但仍然保留了较强的人控能力，适合需要稳定产出模板化内容的活动搭建。\u003C\u002Fp>\u003Ccode>输入表单 → 抽取字段 → 生成活动草稿 → 规则校验 → 人工确认\u003C\u002Fcode>\u003Ch2>3. Routing 的分流式编排\u003C\u002Fh2>\u003Cp>当活动类型变多，单一提示词就不够用了，这时就需要 Routing。系统先判断请求属于哪一类活动，再把它送到对应的提示词、模板或处理链路里，减少“一个模型包办所有事”的混乱。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782547361352-4jfd.png\" alt=\"得物社区活动搭建的 AI 实践：4 个层级\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>得物这类社区活动场景里，Routing 很适合处理不同玩法、不同审核强度、不同内容风格的分支。它让系统更像一个分诊台，而不是一个万能编辑器。\u003C\u002Fp>\u003Cul>\u003Cli>玩法 A：抽奖类活动，重点校验资格与奖品信息\u003C\u002Fli>\u003Cli>玩法 B：内容征集类活动，重点生成规则说明与投稿引导\u003C\u002Fli>\u003Cli>玩法 C：品牌合作类活动，重点走更严格的审核链路\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>4. Human-in-the-loop 的可控闭环\u003C\u002Fh2>\u003Cp>真正把 AI 放进生产流程时，最重要的不是“让模型自己做完”，而是把人放在关键节点。Human-in-the-loop 的价值在于，模型负责提速，人负责兜底，尤其适合涉及活动风险、合规要求和对外表达的环节。\u003C\u002Fp>\u003Cp>在这条路径里，AI 先生成候选结果，再由运营、审核或负责人确认。这样既能减少重复劳动，也能保留最终决策权，避免把不可逆的错误直接推到线上。\u003C\u002Fp>\u003Cul>\u003Cli>适合节点：发布前审核、敏感词检查、规则冲突确认\u003C\u002Fli>\u003Cli>常见收益：缩短准备时间、降低返工率、统一输出口径\u003C\u002Fli>\u003Cli>关键前提：明确哪些步骤必须人工签字\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. Agent 化的下一步边界\u003C\u002Fh2>\u003Cp>把流程升级到 Agent，并不等于让系统无限自治，而是让它在更清晰的目标下自己完成多步任务。对得物社区活动搭建来说，这一步更像在已有链路上增加规划、调用工具和状态管理，而不是推翻重来。\u003C\u002Fp>\u003Cp>文章里提到的光谱位置，实际上说明了一个判断：不是越自动越好，而是要把自主性放在最能省时间、又不容易出错的地方。对大多数业务团队来说，中间层的组合拳往往比“全自动”更实用。\u003C\u002Fp>\u003Ch2>How to decide\u003C\u002Fh2>\u003Cp>如果你的活动类型少、规则稳，先用表单驱动和人工审核就够了；如果你已经有大量模板化内容，先上 Prompt Chaining 会更容易见效。等活动分支变多、规则差异明显，再考虑 Routing 和 Human-in-the-loop 的组合。\u003C\u002Fp>\u003Cp>最适合得物这类场景的，不是单点最强的模型，而是能把表单、提示词、分流和人工确认串起来的流程设计。先把每一步做清楚，再谈 Agent，通常更快，也更稳。\u003C\u002Fp>","4 个层级看懂得物社区活动搭建如何从表单走向 Agent，并找到适合的自动化方案。","zhuanlan.zhihu.com","https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F2053430196594910559",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782547363870-152a.png","industry","en","66777524-5073-4b57-9a32-730622934ef3",[17,18,19,20,21,22,23,24],"得物","社区活动","Agent","Anthropic","Prompt 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各订阅层级的模型额度差异","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782559062541-hqck.png","2026-06-27T11:17:17.379077+00:00",{"id":51,"slug":52,"title":53,"cover_image":54,"image_url":54,"created_at":55,"category":13},"cde93789-1064-44eb-9f7c-378a0be1d7b4","kimi-k27-code-cheap-open-model-watch-en","Kimi K2.7 Code is the cheap open model to watch","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782553666370-b5fj.png","2026-06-27T09:47:22.22568+00:00",{"id":57,"slug":58,"title":59,"cover_image":60,"image_url":60,"created_at":61,"category":13},"776c4292-47a9-42b0-afbd-5c68191f9ace","rust-official-training-accreditation-speed-adoption-en","Rust’s official training accreditation will speed 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