Independent first drafts
Each model answers before seeing the others, so you get real diversity of reasoning instead of one model agreeing with itself.
Consensus answers from multiple AI models
Ask once. Several models answer independently, challenge each other's reasoning, and converge on a single consensus answer, with every disagreement left on the record.
A scripted walkthrough of what a Quorum session looks like. Three models, two rounds, one verdict.
Should we break our monolith into microservices?
Three models are waiting. Each answers alone, then they challenge each other before agreeing on one verdict.
A single model is a single point of failure. It can be confidently wrong and nothing in the conversation will tell you.
Each model answers before seeing the others, so you get real diversity of reasoning instead of one model agreeing with itself.
When models split, that's exactly where you should slow down. Quorum surfaces the split instead of smoothing it over.
You get one clear verdict, an agreement score, and the minority view preserved, so you know how much weight the answer can bear.
Your question goes to a panel of distinct models at the same time.
Each model drafts a response without seeing anyone else's.
Drafts are exchanged. Models challenge weak points, concede good ones, and revise.
One consensus answer, an agreement score, and the dissent on record.