Jev is an AI model built by TypeSafe AI specifically for software to use, not for people to chat with. Instead of generating conversational text like a typical LLM, it returns typed, structured decisions paired with a calibrated confidence score, so a program can act automatically when Jev is confident and flag the result for human review when it isn’t. To use it, developers connect through the API console and send Jev structured questions, then set their own thresholds in code for when the model’s decisions get executed automatically versus routed to a person.
It’s designed to slot into existing software and agent pipelines through TypeSafe’s own API, where developers typically use it for jobs like triaging support tickets, checking whether a tool call is safe to run, or routing a request to a cheaper vs. more capable model – the kind of small, repeated decisions that would be slow and expensive to hand to a full LLM every time.
