Generates Symbolic State Machines
Dorian Smiley says his team uses Jev to generate symbolic programs (state machines) through an iterative process.
I wanted to post a preview of our Jev benchmark dropping tomorrow. We are using Jev to generate symbolic programs (state machines) through an iterative process. The results so far have been amazing! The old process took ~2β10 seconds. With Jev, itβs ~0.3β2 seconds. The costs have also dropped by an order of magnitude. Jev is also used in control flow, removing the need for brittle heuristics.


The team also uses Jev in control flow, removing the need for brittle heuristics. Smiley reports that the process is faster and costs less with Jev.
Also filed under Tools & apps
- Swift Client for TypeSafe Jev Judgments
swift-jev is a Swift client for TypeSafe Jev that uses typed judgments instead of generated text.
- Go SDK and CLI for Jev Decisions
go-jev provides a Go SDK and CLI for TypeSafe Jev typed yes/no, Choice, and Score decisions.
- Open-Model Semantic-If Engine
SemIf-OpenJev is an open-model semantic-if engine for local Jev-style decisions.
- Open-Weight Jev Decision Model
JevK5 is an open-weight Jev alternative that returns typed decisions with probabilities in one forward pass.