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200x Faster, 400x Cheaper, Zero Words: Inside Jev

typesafe.ai built Jev to answer yes/no and multiple-choice questions in under 500ms, not to write text. Here’s the architecture behind a model that gives up string generation to…

typesafe.ai built Jev to answer yes/no and multiple-choice questions in under 500ms, not to write text. Here’s the architecture behind a model that gives up string generation to gain speed and calibration and why it went viral in its first week. ... typesafe.ai calls Jev a “System One model”. The na

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Also filed under Research & data

  1. 0620

    Jev Score: rubrics, scores and confidence

    A worked guide to Jev's Score primitive: writing a request, defining rubric levels, reading recorded probabilities and the weighted-score math.

    Jev Trader · Research & data

  2. 0614

    Bot journey classification in WebDecoy

    Sends a detected bot's last 48 request paths to Jev, which picks what it's after (prices, articles…) and how it crawls (pagination, IDs…), or unknown.

    WebDecoy · Research & data

  3. 0610

    Fake / Real: link fact-checker with Jev as judge

    Paste an article or post link. Fake / Real extracts its claims, finds outside evidence, and has Jev judge whether the evidence supports or contradicts each one.

    @DansiDanutz · Research & data

  4. 0609

    AutoRubric: rubric-based evaluation

    Combines rubric science and LLM-as-a-judge research to grade outputs with AI judges: LLMs, decision models like Jev, or both.

    @deliprao · Research & data