The Jev model,
explained for builders.
Jev turns messy software state into typed decisions your code can branch on: a choice, a score, or a calibrated yes/no probability.
"The customer has been billed twice and wants a refund today."
Messy text in.
Typed decision out.
Use this small example to understand the contract. The real value is not another chat window; it is a fast decision your application can safely consume.
Three 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 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 use cases