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把 3 万美元月账单的 AI 客服决策迁到 Jev 的省钱指南

一份指南讲如何把 agent 工作流里的有界决策搬到 Jev、批量合并提问并只在高置信度时自动执行,百万工单成本从 3.04 万降到约 6480 美元。

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@0xslashxbt2026.10.01收录原推发布于 2026.09.30
把 3 万美元月账单的 AI 客服决策迁到 Jev 的省钱指南
SLASH @0xslashxbt原推发布于 2026.09.30
在 X 上打开原推

american students just dropped a guide on cutting a $30.4K/month AI support bill to ~$6.5K with Jev you're paying $30K+ a month for decisions that each cost fractions of a cent first map out the decisions that are hiding inside your agent's workflow move the bounded ones to Jev, write each question specifically and batch related ones into one call keep deterministic logic in code and only route on confidence that's actually calibrated trim any context the model doesn't need and version your questions, thresholds and models then pick one high frequency decision and automate only the cases with high confidence TypeSafe's cascade estimate for 1M support tickets comes out to ~$6,480 instead of $30,400 bookmark this before your next agent burns frontier money on sub-cent decisions ↓

这条是引用着另一条写的:x.com/polydao/status/2104783226833186920

x.com/0xslashxbt/status/2105325176183292122采集于 2026.10.01 10:02