Driving the classifier as a next-token predictor, one token at a time.
Erik Dunteman asks Jev which token comes next, over and over, to see how far a decision model can be pushed towards generating text.
# ChatJev "Jev cannot generate text" they say. "It's just a multiple choice classifier" they insist. FALSE! I put Jev in an autoregressive loop, with choice options being a list of potential next tokens. And it kinda works!
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
Jev Trader
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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
WebDecoy
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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
@DansiDanutz
Site
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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
@deliprao
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Research & data
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