CASE / parthen2026-09-18

Multimedia przypadkuvideo

Kod i narzędzia deweloperskieJEV

@typesafeai jev playing chrome dino!

@typesafeai jev playing chrome dino! the model is incredibly fast! - avg response time: ~280ms - spent 116M tokens - cost? just $4.65. - the input here is a snapshot of the chrome runner - jev decides whether to jump, run or duck with a confidence score repo link if you want to try it out! 👇🏻

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@elvissun

Jev is INSANE. 🤯 in 24.9 seconds it read 384 news from this morning and told 15 brands which stories to hop onto today, for $0.19. Claude Opus 5, running on the same feed at the same time, got through 4/384 and cost $0.77. per headline that is ~390x cheaper, and the answer comes back before you finish reading the headline yourself. there's going to be so many ways for JEV to help you find trending stories, find journalists covering it, and get press coverage. everything in the video open-sourced here: https://t.co/aq7DBz7en5 (in the demo/ folder, together with 30+ skills to turn your agent into a PR team)

@StarchildOnX

Starchild just became the first professional-grade app to integrate Jev from @typesafeai We use Jev to help route to LLMs which gave a 20x decrease in cost and 6x increase in speed for prompt classification Here it is classifying prompts in real-time (avg time was 140ms) https://t.co/g2DbUMZyJH