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Jev AI turns text and JSON into structured Yes/No, Choice, and Score decisions with probabilities. Test workflows in the Playground, process CSV, TXT, or JSONL batches, and integrate typed decisions through the Jev API.
Jev Model is a System One decision model for developers. It accepts shared state as text, JSON objects, or arrays of text and answers up to eight Choice, Score, or Noul questions in parallel, returning structured outputs with probabilities that applications can use for classification, routing, scoring, guardrails, and human-review workflows. The website provides a free unlimited online playground, documentation, API access, and paid access plans.
An independent playground and API for turning text into structured classification, scoring, and yes-or-no decisions with probabilities. Use it free in the browser after sign in, with saved configurations and run history; buy credits for HTTP API integration in routing, agent workflows, and citation verification.
Jev AI is a TypeSafe AI System One model and developer platform for turning shared state into typed decisions with probabilities. It supports classification, routing, scoring, safety checks, and agent workflows through an online playground, SDK or REST API, with Choice, Score, and Noul question types.