Jev × GPT-6 Astra × H3 Max Someone used Astra to create a
Combined GPT-6 Astra, Jev, and H3 Max Turbo to run a decision game where Jev picked 264 actions that kept a city's whale alive in 5 minutes.
The original post, translated
Jev × GPT-6 Astra × H3 Max Someone used Astra to create a complex decision game: by continuously making decisions, keep the whales in a city alive GPT-6 Astra is responsible for designing the world Jev is responsible for choosing actions H3 Max Turbo on fal is responsible for turning each round of decisions into video The most exaggerated thing is: all Jev decisions + video generation, took only 5 minutes. 264 decisions. 264
Show the original post in its source language ▾
Jev × GPT-6 Astra × H3 Max 有人用 Astra 创建了一个复杂的决策游戏： 通过不断做决策，让一座城市里的鲸鱼保持活力 GPT-6 Astra 负责设计世界 Jev 负责选择行动 H3 Max Turbo on fal 负责把每轮决策变成视频 最夸张的是： 所有 Jev 决策 + 视频生成，只用了 5 分钟。 264 个决策。 264
The post above is a machine translation from zh; the untranslated text is in the fold-out.
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 general Jev builds. 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. Browse the full case library for the work it sits next to.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post