The new Jev framework from TypeSafe AI returns probabilities and scores instead of generating text to optimize artificial intelligence for decision-making and composable intelligence. This "decision model" operates up to 200x faster and 400x cheaper than traditional large language models. It is currently available for developers through a dedicated Jev Playground and the Venice API.

This transition toward "System One" models allows for the rapid processing of large datasets, such as the re-scoring of 4,005 FOMC public speeches in the Fedlock corpus. While proponents describe the approach as intelligence "too cheap to meter," some critics argue the launch was misleading and that the tool acts as a fast classifier rather than a new frontier in AI intelligence.