@typesafeai jev playing chrome dino!
Played Chrome Dino with Jev deciding jump, run or duck from screen snapshots, averaging ~280ms per response across 116M tokens for $4.65.
The original post
@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! 👇🏻
From the same thread
- @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
- @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
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 coding & developer tools, 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 coding & developer tools page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post