ROUTEBusiness workflows
Jev: Frontier Model for Decisions
Box@Box
0:46Jev is a frontier model optimized for decision-making, processing state and typed questions to return booleans with probabilities, enums, and scores in a single pass, eliminating the need for output parsing or schema management.
SignalYou send it state plus typed questions and it returns booleans with probabilities, enums, and scores in a single pass, so there's no output to parse and no schema to keep in line.
🆕@typesafeai dropped Jev this week, a new frontier model optimized for decisions. We put it to work on an incident triage workflow in Box.
Jev doesn't generate text. You send it state plus typed questions and it returns booleans with probabilities, enums, and scores in a single pass, so there's no output to parse and no schema to keep in line.
The demo uses Jev to classify and route incidents. It pulls the incident report from Box, builds the state, asks whether it's customer-facing and how severe it is, moves the file into Escalate, Monitor, or Review folders, and sets a metadata template instance with the result.
The answers comes back with a confidence estimate, so anything below threshold goes to Review for a human instead of routing itself.
Check it out.👇