Jev AI – AI Decision
API and playground for structured AI decisions with calibrated confidenceAsk a model yes/no, choice, or score and get a probability
Highlights
What you can do with it
- A support team routed a complaint to billing, technical, sales, or account with a Choice question
- A churn model scored customer emails to prioritize angry, high-risk users
- A RAG check tested whether a retrieved passage actually answers the question
How to use it
- 1 Register on the site and claim twenty welcome credits
- 2 Pick a preset scenario or a blank template in the playground
- 3 Enter the text or JSON you want analyzed
- 4 Add questions of type Yes/No, Choice, or Score
- 5 Run it, read the probabilities, then create an API key for production use
Who it is for
Pros
- Fast, structured output instead of free-form text
- Calibrated confidence supports human fallback design
- Free welcome credits and a familiar API shape
Limitations
- Credits are consumed per request, and pricing or free rules can change
- It is a young service, so stability and coverage may shift
- Calibrated confidence still needs thresholds you set and test
What Jev AI is
Jev AI is an online platform and API for a decision model named Jev, which sits under TypeSafe System One. Instead of generating text, the model answers structured questions about your input. You paste plain text or JSON into the playground, then add questions of three types: Yes/No, which returns the probability of yes, Choice, which returns the probability of each option, and Score, which rates text on a scale you set. Each answer comes with calibrated probabilities and confidence levels, and multiple questions are evaluated in parallel in about half a second.
What you can do with it
- Classify or route text with Yes/No and Choice questions.
- Score sentiment, urgency, quality, or relevance on your own scale.
- Run several questions against one input in a single request.
- Move from playground to production with an API that matches System One.
Who it is for
- Developers and AI engineers who need low-latency structured decisions.
- Product and data teams that want controllable outputs instead of long text.
- Security, support, and operations teams doing triage, moderation, or evaluation.
What to watch out for
The service is young, and credits, pricing, or free allowances can change at any time. Calibrated confidence is a guide, not a guarantee, so you still need to set thresholds and a human fallback for high-stakes calls. Because the model reads your input, treat sensitive data with care, and test it on your own cases before you trust it on live traffic. Name and archive exported files consistently so you can find and reuse them, and keep a backup copy of key data. When quality matters, export a small draft first to confirm the result before producing the final file.
FAQ
What does Jev AI output?
Structured answers with calibrated probabilities and confidence levels for Yes/No, Choice, and Score questions.
Is there a free tier?
New users receive twenty welcome credits, and the web tool uses one credit per request.
Does it generate text?
No. The page says it evaluates questions against your input rather than generating text.
Can I use it in production?
Yes. The page describes an API that keeps the same request format as TypeSafe System One.
Why it is free
What the official page says： free trial
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
