Claude combined me with Jeff and the playwright to look for
Connected Jev to Playwright to scan used-goods listings at 26 per minute, deciding in 406 ms per item whether to discard, bid, or message the seller for $0.00085 total.
The original post, translated
Claude combined me with Jeff and the playwright to look for secondhand ones. Read about 26 articles per minute, and decided how to handle each article within 406 milliseconds
He ruled out those that didn't match what I was looking for, bid on those that matched what I was looking for, and even sent a message to the seller when some data was missing in the publication.
The entire search result was USD 0.00085. In other words: with one dollar, you can view about 26,000 articles.
An AI that can finally browse the internet faster than us is a game changer
Show the original post in its source language ▾
Claude me integró Jev con Playwright para buscar usados. Lee unos 26 artículos por minuto y decide qué hacer con cada uno en 406 milisegundos
Descartó los que no encajaban con lo que busco, ofertó por los que sí y hasta les mandó un mensaje a los vendedores cuando faltaba algún dato en la publicación.
Toda la búsqueda salió USD 0,00085. O sea: con un dólar revisás unas 26.000 publicaciones.
Una IA que por fin puede navegar por internet más rápido que nosotros es un game changer
The post above is a machine translation from es; the untranslated text is in the fold-out.
Engagement when collected
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 games & playable demos, browser & computer use. 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 games & playable demos page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post