700 potential clients and 700 personalized messages…

@SUL5MUN Sultan Munadi · Sep 18, 2026 · case #211971 · listed via Jev Hub

Still from the clip posted with this case; watch it in the original post on X.

Scored 700 leads against 700 personalized messages in 40 seconds, using Jev to predict each message's performance and flag lead-copy mismatches.

The original post, translated

🤯 700 potential clients and 700 personalized messages… analyzed in just 40 seconds! The JEV tool predicted the performance of each message, gave it a confidence score, and discovered mismatches between the client and the message. The cost? Only $0.09! And soon it will also be available via MCP.

Show the original post in its source language ▾

🤯 700 عميل محتمل و700 رسالة مخصصة… تم تحليلها خلال 40 ثانية فقط! أداة JEV توقعت أداء كل رسالة، منحتها درجة ثقة، واكتشفت عدم التوافق بين العميل والرسالة. التكلفة؟ 0.09$ فقط! وقريبًا ستتوفر عبر MCP أيضًا.

The post above is a machine translation from ar; 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