Jev is absolutely ridiculous.

@FinanceYF5 AI Will · Sep 20, 2026 · case #905034 · listed via Jev Hub

Had Jev break down 724 ads from 37 brands in 40 seconds, extracting hook, format, offer, CTA, awareness stage, and landing page mismatches for $0.09.

The original post, translated

Jev is absolutely ridiculous. In just 40 seconds, it broke down 724 ads that 37 brands are currently running. For each ad, it analyzed the hook, format, offer, CTA, user awareness stage, and the mismatch between the ad and the landing page. The token cost was only $0.09. It will soon integrate with StealAds + MCP.

Show the original post in its source language ▾

Jev 太离谱了。只用 40 秒，它就拆解了 37 个品牌正在投放的 724 条广告。每条广告的钩子、形式、Offer、CTA、用户认知阶段，以及广告与落地页不匹配的问题，全都分析了出来。 Token 成本仅 0.09 美元。即将接入 StealAds + MCP。

The post above is a machine translation from zh; the untranslated text is in the fold-out.

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under agents & workflows. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the agents & workflows page.

🤖 Agents & workflows