Had some fun taking Jev from @typesafeai for a spin
Built a game AI that switches between manual and AI play, using Jev to decide risk-versus-reward choices like chasing a powerup or protecting the ball.
The original post
Had some fun taking Jev from @typesafeai for a spin, switching seamlessly between manual and AI-driven gameplay.
It’s clocking 2–3 calls/sec at 60 FPS, with ~150ms avg latency.
The most interesting part wasn’t the speed, though. It was distilling the game into the variables, actions, and decision criteria the AI needs to play well:
Does it risk going for the powerup, or protect the ball? When is the reward worth the risk?
Fun times ahead!
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. 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