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ElevenLabs· @ElevenLabs · X·· 2 小时前AI 评分37
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ElevenLabs 分享了用 ElevenAgents 构建内部智能体的做法:这些智能体从 Slack 查询内部信息起步,如今每月回答超 5000 个问题,为团队每月节省超 1200 小时。部分智能体还能执行操作,如 bug 分诊智能体上月自动创建超 150 张 Linear 工单;Forward Deployed Engineer 智能体可直接从 Slack 线程生成客户演示。

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Internal agents built with ElevenAgents save teams across ElevenLabs more than 1,200 hours a month. Today we’re sharing how we build them and what we’ve learned.

The agents started in Slack as a way to look up internal information, and now answer more than 5,000 questions a month, such as “Who are our top customers with logo rights in the UK, France, and Germany?”

Some of the agents also act on requests. When someone reports a bug, our triage agent searches Slack for context, checks for duplicate tickets, and opens a Linear ticket assigned to the right team. It opened more than 150 tickets last month.

Our Forward Deployed Engineer agent builds customer demos straight from a Slack thread, creating a working agent configured for that prospect’s use case.

Read more about how we build them: https://elevenlabs.io/blog/internal-ops-agents

来源:ElevenLabs · x.com