CrawlHive uses Jev to score crawler findings and filter noise
Crawlers find, Jev scores each finding to decide whether it stays, and Grok handles only borderline cases, at about five cents for 3,000 daily decisions, with anything below 15% discarded.
CRAWLHIVE + JEV. THE AGENT EVALUATES EVERY FINDING AND DECIDES IF IT'S WORTH YOUR ATTENTION, YOU DON'T EVEN HAVE TO THINK. repo: http://github.com/h100envy/crawl-hive half a second. $0.000017. one decision. crawlers find. jev decides. grok researches. three layers, and noise no longer gets through. > finding below 15% - discarded before you blink > above 70% - verdict LOOK / WATCH / AVOID is final > in between - grok handles it every signal now has a label Jev 87%. green, yellow, grey. one number - and you know the signal strength before the chart. last 15 real signals: > tokens +23–58% scored 66–83% > tokens that dropped - 49–55% > not a single working signal discarded 3000 decisions a day. five cents. grok only called on borderline cases. no key or limit hit - everything works as before. jev is one of the most discussed models on x right now. and crawlhive already has it in production. you still deciding what's worth your attention and what's not by yourself?
This post quotes another post: x.com/h100envy/status/2109653064080912835