Bilingual Jev decision workbench. Turns text or JSON into Choice, Score, and Noul answers with probabilities, plus original guides. Freemium.
JevModel is a bilingual decision workbench, in English and Chinese, at jevmodel.app. Instead of returning a loose paragraph, the Jev model turns text or JSON into a structured Choice, Score, or Noul answer with probabilities. Makers can build decision flows, process batches, and call the same model from one console and an API. The product is freemium. Visitors can read the original guides and try the live demo on the homepage. Signed-in users who verify email receive free runs each UTC day, and an API key unlocks programmatic use. It is meant for support routing, comment moderation, spam checks, sentiment, priority, and similar classification tasks where a named decision is more useful than a chat reply. Sylas Qiu builds JevModel from Dallas, Texas. Support is [email protected]. The public examples show a probability next to a label so a team can branch a workflow without rewriting the model output by hand. Guides stay next to the tool so the method is documented.
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