Uses Jev to choose serve direction, return angle and pace in a browser table-tennis game.
Real data. Real impact.
Emerging
Developers
git clone https://github.com/Icohen007/jev-play-ping-pong.gitPer week
Excellent
One command unlocks capabilities that would take hours to build.
Uses Jev to choose serve direction, return angle and pace in a browser table-tennis game.
Reads structured telemetry and selects contact and pace through Choice before code executes inputs.
Keeps action, latency and match records for reviewing a run.
The 11–0 result is one author-recorded Club-difficulty match. Its 325 ms median API latency and win do not establish a general win rate or latency guarantee. README and integration source reviewed at a fixed commit; not independently run or benchmarked by this site.
Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.
Source: Icohen007/jev-play-ping-pong — 2 stars, MIT. Listed by Awesome Jev.
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