Dreaming: a knowledge graph maintained by Jev
Compares an LLM-only memory pipeline with a hybrid that uses Jev to classify memories and maintain a knowledge graph, filtering irrelevant data to save tokens.
Compares an LLM-only memory pipeline with a hybrid that uses Jev to classify memories and maintain a knowledge graph, filtering irrelevant data to save tokens.
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
Guide
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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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Another Jev use case - Dreaming! I tested two different Dreaming pipelines: A purely LLM-based pipeline using Gemini. A hybrid pipeline using Jev for classifying and maintaining knowledge graph. Check it Out - jev-dreaming.vercel.app Repo - github.com/AdnanQuazi/jev…