jev

About jev

Get a fast, cheap, typed judgment over text or JSON from the jev CLI — a yes/no probability, one choice among labels, or an ordinal score — bare calibrated answers, never prose or explanations. Runs now from a shell or agent, in bulk (one decision per line) and in pipelines (exit codes, semantic grep). Use to classify, triage, route, screen, rank, filter or bulk-label items such as emails, customer feedback, chat or group messages, tweets, logs, git diffs or user requests, and as a cheap pre-filter before expensive LLM reading, a guardrail check, or a model/agent router. Applies to: classification, filtering, triage, routing, scoring, yes/no judgments, bulk labeling, semantic filtering — conclusions only, no explanations. Not for judgments that must come with an explanation, analysis or a written reply; not for writing, summarizing or extracting text; not for math or date arithmetic. To design or code a TypeSafe integration inside an application, use the official `typesafe-ai` skill. Unofficial; calls TypeSafe's Jev model through the TypeSafe API (default) or OpenRouter.