TypeSafe AI has launched Jev, a decision-making AI model the company frames as a "System One" model — fast and instinctive rather than slow and deliberate, borrowing the terms from Daniel Kahneman. Unlike a large language model, Jev doesn't...
TypeSafe AI has launched Jev, a decision-making AI model the company frames as a "System One" model — fast and instinctive rather than slow and deliberate, borrowing the terms from Daniel Kahneman. Unlike a large language model, Jev doesn't generate text, can't chat, and according to TypeSafe cannot hallucinate in the structural sense: it always returns output in the same typed format, even if the content of that answer is wrong.
Jev works with three question types — Noul (yes/no, scored 0 to 1), Score (rated against a rubric), and Choice (pick one option from a set) — applied against a "state," whatever text you're asking about. Each answer comes with a confidence level. In a CV-screening example run by Zapier, Jev scored a candidate's LLM experience, technical depth and career-progression pattern, each with its own confidence score, from 78% to 100%.
On speed and cost, TypeSafe reports Jev returns a decision in 70-500ms regardless of how many questions are attached, at $0.042 per million input tokens with output priced at effectively zero. In a WikiRace demo navigating from the Wikipedia page for Baseball to Sun using only on-page links, Jev completed the task in 0.419 seconds for $0.047, versus Claude Sonnet 5 (3.724 seconds, $3.31), Claude Haiku 4.5 (4.975 seconds, $1.03) and GPT-5.6 Terra (9.453 seconds, $2.04 cents, with one hallucination).
Suggested uses include routing requests to a cheaper or stronger LLM before inference, screening support messages for topic, urgency and sentiment, labeling large batches of documents or proposals, checking AI tool outputs for harmful or low-quality calls, and gating actions in a network based on a safety judgment.
TypeSafe discloses Jev's accuracy at 67.8%. The model lacks multi-step reasoning, can't explain how it reached a conclusion, only processes text (audio, image and video must be converted to descriptions first), and remains vulnerable to adversarial prompts — an area TypeSafe says it is still working on.
Jev is available now through TypeSafe's API and playground, with $5 in free monthly credits. There's no native Zapier integration yet; Zapier's writeup describes wiring it in through API by Zapier and routing the output with Filter by Zapier.