Jev AI

Jev AI addresses the least glamorous part of shipping AI in production: you do not want prose, you want a value your code can branch on. Instead of prompting a general chat model and parsing whatever comes back, you send state and get a typed decision — a choice from a fixed set, a score, a safety verdict — with probabilities attached, which is what makes thresholds, fallbacks and human review possible at all. The question types on offer (Choice, Score and Noul) map directly onto the jobs most teams hack together with prompt templates: classification, routing between tools or agents, quality and risk scoring, and guardrail checks in front of an expensive model. There is an online playground for trying it without integration work, plus an SDK and REST API, and no waitlist, so evaluation is same-day. The trade-off is scope: this is deliberately not a conversational model, so anything open-ended stays with your existing provider, and calibrated probabilities still need your own thresholds tuned against labelled examples before you trust automatic decisions. It is a developer product and reads like one — useful if you are building agent workflows, less relevant if you just want a chatbot. Freemium.