This is a submission for the Hermes Agent Challenge: Build With Hermes Agent
TL;DR — Ask any judgment call and three different AI models argue it out, then Hermes hands down one verdict, a confidence score, and exactly why they split. Every verdict, dissent, and mind-changed-in-debate is written into Hermes' own memory, so the next question re-weights the jurors before they ever vote. The judging is a pure function over that memory: no memory, no weights, no verdict. Three models, one verdict, $0.
What I Built
An LLM once talked me into the wrong database with total confidence. One smooth, authoritative answer. I shipped it. It cost me a weekend and a migration I'm still not over.
The villain here is single-model overconfidence: you get one polished reply, and the disagreement that should have warned you is invisible. You never see the other opinions, because you only asked one model.
