CASE FILE / Games & simulation

Had some fun taking Jev from @typesafeai for a spin, switching seamlessl…

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!

By Adrián Mato 🐙 @adrianmg

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Adrián Mato 🐙 · @adrianmg

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!

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Chinese translation

从@typesafeai获得了一些乐趣，在手动和人工智能驱动的游戏之间无缝切换。它的时钟2-3调用/秒在60 FPS，与~ 150毫秒的平均延迟。最有趣的部分不是速度。它将游戏提炼成AI需要玩好的变量、动作和决策标准：它是否冒着去加油的风险，或者保护球？什么时候回报值得冒险？有趣的时代即将到来！

What this case shows

Game state maps cleanly onto typed choices
Let JEV pick; keep generation elsewhere
The original post usually has a playable demo