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Large language models are excellent at producing prose, but most production systems do not need prose — they need a decision. A support ticket must be routed to the right queue, a lead must be scored, a policy must be checked, and an agent must be stopped before it takes an irreversible action. TypeSafe AI addresses that gap with a hosted decision model called Jev, which returns typed answers rather than free-form text. The distinction sounds narrow, but it changes how teams design, validate, and operate AI inside real software. This article explains what type-safe AI means in practice, how Jev is priced and constrained, and how to evaluate it against alternatives for structured decisions in production. What TypeSafe AI Means: Typed Outputs Instead of Free-Form Text In conventional gener...