Jev + GPT-6 Astra terminal scans 100,000 scam posts in 18 seconds
A demo uses Jev to run 12 parallel binary checks and GPT-6 Astra to generate the interface, scanning 100,000 X posts in 18 seconds for 62 cents, with breakdowns for fake support bots, recovery scams and more.
THIS ENTIRE TERMINAL WAS BUILT USING JEV + GPT-6 ASTRA. We put it to the test: 100,000 X posts scanned for scams in 18 seconds. JEV + GPT-6 Astra is 750x faster and 800x cheaper. A complete pass with heavy standalone LLMs would burn $620. We processed the whole dataset for 62 cents. Why traditional AI moderation fails: everyone forces heavy reasoning models to write essays when you only need instant classification. Our pipeline bypasses text generation entirely and runs 12 parallel binary checks per post: > brand impersonation signature > wallet drainer trigger > malicious support redirect What this architecture uncovered across 100,000 posts: > 41.2% fake support bots > 28.5% recovery scam networks > 18.1% fake token drops The classic double your crypto scam collapsed to 3.1%. Scammers pivoted entirely to automated support hijacking. Watch the UI: Left: live incoming X stream under inspection. Right: JEV evaluating 12 parameters with real time confidence scores and instantly locking down bot rings. 28 posts scanned and a full scam network mapped in 28 seconds. Total cost: $0.0002.
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