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Jev is the first public System One Model built by TypeSafe AI to provide machine native intelligence for automated decision making within software. It produces typed outputs rather than text, offering reliable and self consistent decision structures that integrate directly into code. Its features include calibrated confidence scores for each decision, enabling software to automatically act when confidence thresholds are met and request review otherwise. Jev delivers zero hallucinations by design and provides deterministic outputs that are optimized for speed and reliability. It runs 193.6 times faster and 444.6 times cheaper than traditional LLM workflows, completing tasks in a fraction of the time. The cost of using Jev is approximately $42 per billion input tokens, which is 238 times lower than competing models like Claude Fable 5.1. Early access is available via a waitlist and developers can join Discord to collaborate. Jev’s integration capabilities allow developers to build larger automation workflows with full control over uncertainty handling and autonomous execution, making it ideal for high performance and cost sensitive applications.
