Ask about any text.
Get probabilities, not prose.
One call answers your yes/no, choice and score questions — with calibrated confidence.
Playground
Pick a scenario, edit the questions, hit Run Jev.
Upwork proposal — worth pitching?
Name each option and describe when Jev should choose it.
Define 2–10 ordered levels, from lowest (0) to highest.
Optional: explain exactly what counts as Yes and No.
Answers
Ready← Example results. Press Run Jev to get real answers.
Ask in the shape the answer takes.
No freeform prompts. Each question declares its type, so Jev returns a structured result your code can branch on — every time, in the same shape.
Yes / No
Binary decisions with a calibrated probability. Great for routing, filtering and guardrails.
A: Yes · 96% confidence
Choice
Pick from a fixed set of labels. Jev returns every option with a share, so you see the runner-up.
A: billing · 97% · technical 1% · sales 1%
Score
A number on a scale you define. Sentiment, severity, fit — anything you can bound.
A: 3.0 · angry and ready to churn
Built for decisions, not chat.
Typed answers your code trusts
No parsing markdown, no JSON-instructions games. Yes/No, Choice and Score come back in a fixed schema every time.
Calibrated confidence
96% means 96% — Jev is scored against real datasets so probabilities map to actual accuracy.
Fast and cheap
Sub-second latency at a fraction of frontier model pricing. Built to run on every message, not just the hard cases.
Three steps to a decision.
Pick a case
Start from a scenario template — Upwork proposal, chat triage, content moderation — or a blank state.
Paste your text
Drop in the message, review, proposal or ticket. Add the questions you want answered on the side.
Get structured answers
Each question returns a typed result with a confidence number. Branch on it, queue it, or flag for review.
Questions, answered.
Jev is a TypeSafe System One model that answers structured questions about text. You ask yes/no, choice or score questions; Jev returns a typed result with a calibrated confidence number — no prose to parse, no prompts to engineer.
ChatGPT gives you an essay. Jev gives you a number. Instead of "I think yes, probably…" you get "Yes — 96% confidence" or "billing — 97%, technical — 1%". That difference matters when your code has to branch, queue or alert on the answer.
Yes / No returns a binary with a probability. Choice returns a fixed set of labels each with a share. Score returns a number on a scale you define (for example 0–5 for sentiment or severity). Every call returns the same schema.
No. You write the question and declare its type and options. Jev does not freeform-generate answers; it reads your text and returns a structured verdict.
Start free with 5 credits. Buy credit packs when you need more — Starter Pack $4.9 for 500 credits, or Pro Pack $9.9 for 1000 credits. See our Pricing page for details.
Not yet. Jev takes text only: a string, a JSON object or an array of messages. Attachments and multimodal input are on the roadmap.