hegargarcia/jev-playground on GitHub
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- 17 Sep 2026
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Use casesReal-time control
hegargarcia/jev-playground
Benchmarks Jev against Luna, Haiku and Gemini at choosing the next action in games with explicit states, legal actions and measurable outcomes. Each game is a state machine where code owns the rules and the model only picks among the options it is given, with every model reached through Vercel AI Gateway.
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Laya-MLX
An independent MLX port of Laya for Apple Silicon, 13.4ms median for a short English decision and 7.4ms on the multilingual checkpoint, with a Snake demo that plays at up to 75 moves per second under 1GB of memory.
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Agent Desktop
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Laya-CoreML
Core ML ports of all three Laya checkpoints for Apple Silicon, reaching 4.98ms P50 on the Neural Engine for a short multilingual decision, with a Snake demo sustaining about 50 decisions per second.
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typesafe-computer-use
macOS computer-use loop that OCRs the screen, classifies the next action with Jev, then clicks. Author reports roughly $0.0002 per step.
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rmalde/minecraft-agent
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536 starsFastest run 8m 43s, -40%Decisions used 131 Jev calls
ProjectReal-time control
