Treg + Jev 把百万次决策成本从 17.6 万降到 400 美元
同一工作流用 Claude Opus 5 跑 100 万次决策要 17.6 万美元,换成 Treg 编排加 Jev 决策层只要 400 美元。
Workflow that ran 1 million decisions through Claude Opus 5 cost $176,100. The same workflow through Treg + Jev costs $400 How can you save 175k? Treg alone is a powerful orchestration platform. browser automation, data pipelines, agent loops. but every decision point inside those workflows still needed a frontier LLM call. slow. expensive. occasionally wrong in ways that break the whole pipeline. Jev plugs into Treg as the decision layer: every classification, every routing call, every yes/no check that used to cost $0.08-0.17 per case now costs $0.0004. every call that took 10-37 seconds now takes 0.4 seconds. and the error rate on structured outputs drops from 5-45% to 0%. what that unlocks in practice: > fraud detection pipeline - Treg monitors user behavior, Jev scores every event in real time. suspicious accounts flagged before damage lands > LinkedIn lead gen - Treg scrapes comments at scale, Jev qualifies every lead automatically. no human in the loop > SEO audits - Treg crawls hundreds of pages, Jev checks every internal link decision in seconds instead of hours > content moderation - Treg pulls posts, Jev separates organic from paid instantly across millions of rows
这条是引用着另一条写的:x.com/p0lybender/status/2101765571096506841