Paste an email, a comment, a request, a lead, or any feedback. Jev AI returns a typed decision — category, yes/no, or score — with calibrated confidence, in milliseconds. No text generation, no parsing, no hallucination.
Hi — I've emailed twice about a double charge on my invoice and nobody replied. I need this refunded today or I'm disputing with my bank.
Run a decision now
Choose a use-case preset or the generic classifier, paste your text, and Jev returns a typed decision with calibrated confidence.
Real files in, real decisions out
Every card below is an actual Jev run — the pasted text, the typed decision it returned, and the measured latency and cost. Nothing here is mocked up.
Hi — I've emailed twice about a double charge on my invoice and nobody replied. I need this refunded today or I'm disputing with my bank.
honestly this whole community is trash and everyone posting here is an idiot who should just quit
Our checkout page throws a 500 on Safari after the last deploy — customers cannot pay. Need this looked at ASAP.
Hi, I run infrastructure for a 4,000-person fintech. We are evaluating vendors this quarter to replace our in-house classifier and have budget approved. Can we get a call with your team and enterprise pricing?
The product mostly works but the export keeps timing out on large files, and support took 4 days to reply. Pricing feels fair though.
Paste, evaluate, decide
Drop in the email, comment, request, lead, or feedback. Choose a use-case preset or define your own typed questions (yes/no, choice, or score).
The TypeSafe Jev model evaluates the text against each typed question in a single millisecond-scale pass — it never free-writes, so there is nothing to parse and nothing to hallucinate.
Back comes a structured decision for every question — the chosen category, boolean probability, or score — each with a calibrated confidence you can threshold on, plus latency and cost.
Pre-configured decision tools
Each use case is the same Jev core with a preconfigured set of typed questions. Open one for a ready-to-run tool page and worked examples.
Route inbound email to the right queue, flag what is urgent, and score severity.
Open tool →
Classify UGC as allow / flag / remove with a policy category and confidence.
Open tool →
Send each request to the right team or agent with a priority and a human-needed flag.
Open tool →
Score lead strength, mark sales-qualified, and segment by company type.
Open tool →
Tag sentiment, surface the actionable signal, and label the primary theme.
Open tool →Jev is TypeSafe AI’s System-1 decision model. Instead of generating text, it evaluates a piece of context against typed questions and returns typed answers — a category, a yes/no probability, or a score — each with calibrated confidence. Jev AI wraps that model into ready-to-run tool pages for real use cases.
Paste your scenario text (an email, comment, request, lead, or feedback), pick a use-case preset or define your own typed questions, and run it. Jev AI returns a structured decision in milliseconds — no prompt engineering and no output to parse.
A general LLM free-writes an answer you then have to parse, and it can hallucinate. Jev AI only ever returns typed values against the questions you define, with calibrated confidence — so the output is machine-usable as-is and there is nothing to hallucinate.
No. Jev AI does not generate free text; it returns typed decisions (choice / boolean / score) constrained to the criteria you specify, each with a probability. That structure is what removes the hallucination surface.
Decisions return in roughly 200 milliseconds and cost a small fraction of a cent per call. The samples shown on this page were captured live from real Jev AI runs, including their measured latency and cost.
Try Jev AI on your own email, ticket, comment, lead, or feedback — one typed decision, with confidence, in milliseconds.