JEV is insane for competitor research! #02819

@mightyking Stav Zilbershtein · Sep 18, 2026 · case #002819
Original post on X
The clip posted with this case (hosted by the collector’s media CDN); original post on X · 22s.

Classified 1,891 ads from Resilia's ad library in 19 seconds for $0.12, tagging customer journey step and ad style for competitor research.

The original post

JEV is insane for competitor research!

We gave it Resilia's ad library

It classified 1,891 ads in 19 seconds for $0.12

costumer journey step + Ad style

And a complete deep analysis of the account

Coming soon to maxfusion MCP

From the same thread

  • @OriSilver — JEV makes competitor research feel like a cheat code We fed it Resilia’s ad library and it classified 1,891 ads in 19 seconds for $0.12 Customer journey stage, ad style, and a full account deep dive
  • @liambraus — ESTO ES PURO ORO le metes la ad library de tu competencia a JEV y en 19 segundos te clasifica 1.891 anuncios cada uno etiquetado por: → fase del funnel → estilo creativo → ángulo de copy más la

Engagement when collected

Views155.5K
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Reposts156
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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, classification & data extraction, 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.

🤖 Agents & workflows🗂️ Classification & data extraction📈 Sales, ads & marketing

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