jevARTICLE
Incident triage workflow built with Box and Jev
A team built an incident triage workflow that feeds unstructured content into Jev and gets typed decisions back.
Box
@BoxArchived 2026.09.19Originally posted 2026.09.19
What this article says
这条帖子介绍了一个把 Box 与 Jev 结合的事故分诊(incident triage)工作流。作者强调 Jev 是面向决策而非文本生成的新模型,因此适合放在流程中做「非结构化内容进、结构化决策出」的环节:把事故报告、告警描述、聊天记录等杂乱文本交给 Jev,由它输出带类型的判断结果,再驱动后续分诊动作。文章正文(X Article)应包含该工作流的具体搭建方式与效果,但推文本身只给出这一句概括和文章链接。对读者的价值在于:这是一个把 Jev 用在真实运维/客服场景的示例,说明它可作为决策层嵌入既有工具链,而不是替代写作或对话生成。
We built an incident triage workflow using Box and Jev, a new frontier model by @CompleteSkeptic optimized for decisions rather than text generation. Unstructured content in, typed decisions out. https://x.com/i/article/2100999218140004352
Box @BoxOriginally posted 2026.09.19
x.com/box/status/2101029558711661053Archived 2026.09.19 10:11