OpenJev
OpenJev is a browser-only experiment that runs a small local model and compares direct choice-logit reads with token-by-token JSON generation. The demo keeps the weights in the browser, asks the same model to score a fixed set of options, and exposes the latency/quality tradeoff instead of pretending structured generation is free.
The 239-point HN thread liked the low-latency, low-cost decision-model angle but questioned whether the implementation is mainly prefill plus restricted-token scoring. Others found incorrect classifications and prompt-injection behavior in the demo, so treat it as an interesting technique preview rather than a validated Jev replacement.