Jev case: We gave it 700 high-intent leads and personalised

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Scored 700 leads and their outreach messages with Jev in 40 seconds, getting predicted performance, confidence scores and mismatch flags for $0.09.

The original post

JEV is INSANE.

We gave it 700 high-intent leads and personalised outreach messages.

In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches.

All for just $0.09.

JEV can also score leads, analyse buying signals, match each prospect with the best message and identify the campaigns most likely to perform based on data.

Coming soon to @GojiberryAI+ MCP.

Comment “JEV” for early access.

From the same thread

  • @EngMoElgaraihy — سرعة خارقة وتكلفة شبه معدومة تعيد تعريف أتمتة المبيعات بفضل نموذج JEV! 🚨💼💥 ​تحليل 700 عميل محتمل وتخصيص الحملات التسويقية بالكامل في 40 ثانية فقط ولن تكلفك سوى 0.09$! 🤯 ​ما الذي يستطيع JEV إنجازه؟ •
  • @NFT_Chen — Jev 不写邮件,它只做一件更狠的事:判断这封邮件该不该发给这个人! 700 个高意向线索 × 个性化文案 40 秒打完:预测回复、给置信度、抓人货错配 成本只有 $0.09 SDR 花两小时想的事,它当一次函数调用。 大模型负责写,Jev 负责判。 高置信自动发,低置信丢给真人。 GTM 的下一层基础设施,不是又一个会聊天的销售 Agent。 #Jev #TypeSafe #GTM
  • @FarokhNotes — به نظرم Jev می‌تونه مهم‌ترین اتفاق‌های امسال دنیای AI باشه! 🤯 چون به طور خلاصه با استفاده از متد RLCD، هزینه تصمیم گیری و ساخت اتوماسیون واقعی رو وحشتناک کاهش میده. مثلا فرض کن روزی ۱۰۰ هزار تیکت

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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, sales, ads & marketing. 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.

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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post