Typed answers
Numbers and labels your code can branch on.
TypeSafe System One model
Available now in the playground and API.
Ask questions about any text. Get probabilities, not prose.
Use Jev AI to judge answers, route requests and check retrieved context, each with your own rules.
Evaluate an answer for source support, relevance and quality using your own rubric.
Choose a model tier, handler or tool for each request, with confidence to fall back safely.
Check each retrieved passage for relevance, answer coverage and injected instructions before generation.
More Jev AI use cases: AI Agent EvaluationEntity MatchingClaude Code Rules CheckerMCP Tool RouterSupport Ticket TriagePrompt Injection DetectorLead QualificationSales Call ScoringJev JobsLive Web Context · browse all by category →
Jev is TypeSafe's first System One model. Jev AI lets you try it and call it by API.
Numbers and labels your code can branch on.
Choice and Score include confidence; Yes / No returns a probability.
All answered in parallel.
TypeSafe-compatible requests.
New to the model? Read what Jev does and where its limits are, then follow a recorded support-ticket example before running your own input.
Probability that the answer is yes.
Picks one option and shows every probability.
Rates the text on your own levels.
Ready to integrate? Follow the API request and response reference, process a batch of text inputs, or set up Jevgrep for code search. Keep permissions and final actions in your application; use probabilities to decide when a person should review a result.
Jev AI (jev-ai.pro) is an independent playground and API for Jev, the System One model from TypeSafe. You give Jev a piece of text and typed questions; it returns yes/no probabilities, choices and scores with calibrated confidence.
Jev is TypeSafe's flagship model and the first System One model. It is trained for fast structured decisions instead of text generation: it evaluates many narrow questions about one state in parallel and reports how sure it is.
Jev AI brings TypeSafe’s Jev models into one workspace for playground, batch processing, and API access. The platform is independently operated, with subscriptions, token balances, and customer support managed by Jev AI.
Create an API key on the Jev API page and send the same JSON you would send to TypeSafe (state, model, questions) to https://jev-ai.pro/api/v1/systemone. API calls use the Token account first; model multipliers apply, and insufficient tokens switch the entire request to model-priced credits.
Eligible new accounts get 20 welcome credits. Welcome and daily check-in gifts enter the Credit account; monthly plans and one-time purchases add input tokens to a separate Token account. Web tools use model-priced credits, then input tokens × model rate if credits run out. API calls use model-priced tokens first, then the model’s credit charge if tokens are insufficient. A request never charges both accounts. Output tokens are free.
Native Jev accepts text only: a string, a JSON object or an array. For images, audio and short videos, select Jev-Omni in the Playground. PDF upload is not supported; convert PDF content to text first.
English is Jev's primary language and where it is most accurate. Other languages work but less reliably, so test on your own data and watch the confidence value.