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Jev AI Headline Analysis
Jev News@JevNewsMarket
0:24Jev is an AI model that analyzes headlines by asking typed questions to determine relevance, sentiment, catalysts, strength, and horizon, returning calibrated judgments rather than text.
TakeIt returns judgments, not text: a probability, a choice, a score, each with calibrated confidence.
How Jev works:
Every 15 minutes it pulls fresh headlines for all 195 tokens and asks @typesafeai's Jev model five typed questions per headline. Relevant? Bullish? What catalyst? How strong? What horizon?
Jev is not a chatbot. It returns judgments, not text: a probability, a choice, a score, each with calibrated confidence. It cannot hallucinate a narrative, and when it is unsure, the number says so.
~1,800 judgments per run, answers in milliseconds, a few cents per scan. That is why we can read everything instead of sampling.
The signals are just math on top. The model judges, the code decides.
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