ElevenLabs 公开内部 ElevenAgents 智能体的构建方法
ElevenLabs 表示，基于 ElevenAgents 构建的内部智能体每月为团队节省超过 1,200 小时。这些智能体从 Slack 内部信息查询起步，目前每月回答超过 5,000 个问题；其中分诊智能体可检索上下文、检查重复工单并创建 Linear 工单，上月创建了超过 150 个工单。
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: elevenlabs.io/blog/internal-…
来源：ElevenLabs · x.com