Jev, Laya, and Kev test a narrower kind of AI

Instead of writing the email, these models decide whether a quote request should be sent, held, or escalated.

TypeSafe's Jev is not a chatbot. It takes structured facts and a set of predefined questions, then returns a probability, a choice, or a score. The company calls it a System One model: a fast decision layer that sits inside software. A quote request arrives, Jev judges it, and ordinary code decides what happens next.

A Made by Agents comparison put Jev against two open-source decision models, Laya and Kev, on the same task: send, hold, or ask a human. The hosted model is far faster and cheaper than a frontier chat model, according to TypeSafe's claims, but the local models can run on a laptop. The test focused on where a narrow decision model helps and where explicit business rules should still decide.

The appeal is control. A chat model can draft a reply, but it can also invent terms or miss a policy. A decision model returns a bounded answer that existing software can check. For quote workflows, that may be more useful than another general assistant.