HunterAlphaHub
OpenRouter model reference Facts from the public catalogue, dated and labelled
Jev Laya Verified
2026-09-22

Fraud triage in two stages: Jev sorts, a large model reads the rest

Jev + Kimi K3 for fraud detection! TLDR: Jev classified 100 emails in 1.42 seconds, then I routed the uncertain cases to Kimi K3. The full pipeline got 96/100 correct for only ~$0.07. Video is not sped up, check out the live run! Here was my process: I gave Jev 100 emails to…

Why it is here

Fraud triage in two stages: Jev labels a hundred emails in 1.42 seconds, then the uncertain ones go to a large model — ninety-six of a hundred right for about seven cents. The accuracy is self-reported; the routing pattern is the part worth copying, and it is what the whole site argues for.

What we checked

  • post read through the public syndication endpoint on 2026-09-24
  • text, author, date and like count read from that response on 2026-09-24
  • poster image stays on X's CDN; nothing downloaded or rehosted

What we did not check. We did not re-run the thing the post describes, so every figure on this page is the author's own and every claim is theirs — the note above is what we make of it after reading, not a measurement. The like count is a snapshot read on 2026-09-23 and it has moved since; 870 is what it said when we looked.

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Filed under Triage and routing The Jev topic

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