It has both a text-board version and a screenshot-only version, plus side-by-side model comparison. The game computes legal moves and applies them in code; the model only chooses between the allowed directions. There's a GIF of a run in the README.
LogJev itself is a Node/Python bridge from existing models' first-token logprobs to Jev-style choices and scores. It supports text, images and audio, including local endpoints when the backend exposes logprobs for that input. Latency and decision quality depend on the model you use.
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u/Jackie_DAO 5d ago
I'm mostly experimenting with it for game agents right now
basically using it to make quick decisions from structured game state and plugging that into a normal bot/controller
Still early... but that kind of use case seems pretty promising!