這款副駕駛會直接在聊天視窗中建議下一則回覆,內容以你的文件和歷史工單為依據,一鍵即可送出或編輯。它會從客服人員的修改中學習,建議內容會越來越貼近你團隊的語氣。客服回覆更快,不用再從另一個分頁的 wiki 複製貼上。
運作方式
Used at step 01 to kick off the pipeline.
Write
Used at step 01 to kick off the pipeline.
WebFetch
Used at step 01 to kick off the pipeline.
WebSearch
Used at step 01 to kick off the pipeline.
搜尋文件、歷史工單與快速回覆模板,找出最可能的解答。
pending
在聊天視窗內向客服人員提供回覆建議,支援一鍵發送或修改。
pending
記錄哪些建議被接受、修改或拒絕,以優化後續的建議準確度。
pending
輸出範例
json
// Sample output
// (generated when the pipeline finishes)
During a live chat, suggest the next agent reply grounded in retrieved context, and return it as editable draft text.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.