Jev AI: TypeSafe’s model for typed decisions.
Jev is not a chatbot. Send it application state and it returns a choice, a score, or a yes/no probability your code can branch on — currently billed at $0.042 per million input tokens, with output free.
"The customer has been billed twice and wants a refund today."
Messy text in.
Typed Jev decision out.
Jev’s value is not another chat window. It is a fast, typed branch your application can consume. The panel below is a local shape demo so you can see the interface before you call the hosted model.
This panel shows the contract: messy state in, typed values out. It is a local example, not TypeSafe Jev. For a live call, use the Jev API guide or the official console.
Three Jev output types cover
the fuzzy if in your system.
Route
Pick one value from a known set. Great for support topics, model routing, and intent classification.
↗ scoreRank
Place input on an ordered spectrum. Use it for urgency, lead quality, risk, or review priority.
↗ noulGate
Get a calibrated probability for a yes/no question before your software takes an action.
↗Put the Jev decision layer
between intent and action.
Jev is most interesting when a workflow already has an LLM, an API, or an agent, but needs a small reliable branch before the next step.
See all Jev use cases