Many teams building AI‑powered products face three recurring problems. First, they need models that return structured, typed answers instead of free‑form text so their code can branch safely. Second, they want low latency and predictable cost at scale, without the hidden expense of token‑heavy generation. Third, they require a measure of confidence that tells them when an answer is trustworthy enough to act on, when it should be reviewed, and when it must be sent to a human reviewer. Existing large language models solve the first point only imperfectly, often hallucinate, and become expensive and slow when forced into strict schemas.
TypeSafe’s Jev addresses these issues directly. Jev is a transformer‑based system that does not generate text; it consumes a state object and a set of typed questions and returns decisions with probabilities. Questions run in parallel, so adding more hardly changes response time. Each answer includes a confidence value derived from the shape of the probability distribution, enabling developers to apply simple thresholds: act on high confidence, review medium confidence, and route low confidence to a human. The API is a single POST endpoint that accepts state, model identifier, and a map of questions defined as Choice, Score or Noul types. SDKs are available for Python and JavaScript, and the service can be called with cURL or integrated into agent frameworks.
Early benchmarks show Jev completing typical workflows in under 0.12 seconds at a cost of $0.00008 per call, which the vendor claims is two orders of magnitude faster and cheaper than comparable large language models. While the numbers come from internal evaluations, they illustrate the potential for real‑time automation in ticket routing, email triage, browser agents, phone assistants, video scoring, live typing assistants, game AI, guardrails, and data filtering. By delivering typed, confidence‑scored decisions without hallucination risk, Jev lets developers move from prototypes to production‑grade AI components that are fast, predictable, and cost‑controlled.
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