Quorum

Consensus answers from multiple AI models

One chatbot gives you an answer.
A quorum gives you a verdict.

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.

See the debate, not just the answer

A scripted walkthrough of what a Quorum session looks like. Three models, two rounds, one verdict.

Pick a question
You

Should we break our monolith into microservices?

Three models are waiting. Each answers alone, then they challenge each other before agreeing on one verdict.

Why one answer isn't enough

A single model is a single point of failure. It can be confidently wrong and nothing in the conversation will tell you.

Independent first drafts

Each model answers before seeing the others, so you get real diversity of reasoning instead of one model agreeing with itself.

Disagreement is signal

When models split, that's exactly where you should slow down. Quorum surfaces the split instead of smoothing it over.

Consensus with dissent

You get one clear verdict, an agreement score, and the minority view preserved, so you know how much weight the answer can bear.

How it works

  1. 01

    Ask once

    Your question goes to a panel of distinct models at the same time.

  2. 02

    They answer alone

    Each model drafts a response without seeing anyone else's.

  3. 03

    They cross-examine

    Drafts are exchanged. Models challenge weak points, concede good ones, and revise.

  4. 04

    You get a verdict

    One consensus answer, an agreement score, and the dissent on record.

Stop asking one model. Convene a quorum.

Try the demo