The art of
deliberation.

Introduction

AI deliberation has proven to positively impact performance across quality, cost or time to process a prompt vs peer group models and higher. Deliberation itself is not a blunt instrument universally improving outcomes. Quorum provides a platform for deliberation where intent can be configured. to customer deliberation modes. Quorum helps you move from an open question to a closed outcome with confidence.

How It Works

Quorum is powered by what we call the Deliberated Output Generator (DOG) — the foundation for quorum.dog.

When you submit a question or prompt, Quorum coordinates multiple independent engines and has them approach the problem from their unique perspectives. Those answers are then debated, challenged, and reconciled through a multi-AI process designed to surface insight rather than noise.

How that deliberation is set up — which engines take which seats, how much critique runs, how many rounds, what the panel is tuned for — is itself a saved, named, shareable configuration. We call one a Mode. Every answer Quorum has ever produced ran inside one, and anyone signed in can build their own.

The seats are filled from Anthropic, Google, and OpenAI, among others. Which specific model takes a seat on a given question is Quorum's job and changes as the field moves.

Divergence is measured today and surfaced in Panel, where you can also moderate the deliberation yourself. Bringing it forward into Chat is not yet built.

The same underlying generator drives every Quorum experience. What changes is how much of the process you see and how much control you want to exert.

Value & Benefits

Quorum's value goes beyond deliberation. It is a way to run professional thinking without fragmentation.

More accurate, and we publish the margin. When multiple models critique and challenge each other before converging, the result is more comprehensive than any single model working alone — and rather than assert that, Quorum measures it. Our testing center allows you to see how deliberation impacts outcomes. See our test results, configure your own deliberation style or test against your own question set. Our Standard configuration (Mode) scores 63.9% of the time. The interval, the sample size, the losing share and the protocol are all on the Testing page, along with the places deliberation does worst.

It does typically cost more per call. Measured on our own runs, a deliberated answer costs roughly30% more than a single top LLM call and takes about 15% longer. Two mitigations. When compared up a level (i.e. deliberated Sonnet+2 vs standalone Opus), deliberation can win across time, speed and quality. The larger offsetting argument is about total rounds rather than per-call price: token costs scale superlinearly as a conversation grows — round six with one model is far dearer than round one — so front-loading the disagreement should reach a defensible answer in fewer rounds overall. That is the honest state of it: the per-call premium is measured, and the round-count saving is reasoned rather than measured. Berkeley AI Research has identified compound AI systems — coordinating multiple models — as one of the most impactful architectural directions in AI.

One system instead of many. Instead of juggling tools, subscriptions, and model choices, you work inside a single system that coordinates the work for you. One plan gives you access to a broad range of leading AI capabilities, without requiring you to constantly decide which engine to use or how to reconcile conflicting outputs.

Stable as the landscape shifts. As the AI landscape evolves, Quorum is designed to remain stable for you: one place to think, one process to trust, and one set of habits that don't need to change every time a new model appears. The system is always learning and enhancing itself as well as staying current with the latest models.

Where AI Deliberates

Quorum offers multiple surfaces — different ways to engage the same intelligence depending on the task.

Chat is fully supported on mobile. Panel and Studio are desktop experiences.

In your code, and in your product

There are two ways to reach deliberation from a codebase, and they are not the same job.

In your code. In your product. Connect Quorum to the editor and the agent you already use. The architectural call you were about to make alone gets three frontier models arguing about it first — and the code that lands is the code that survived that.

In what you ship. Connect Quorum to the editor and the agent you already use. The architectural call you were about to make alone gets three frontier models arguing about it first — and the code that lands is the code that survived that without hours of debugging later.

This is the fastest thing a small team can do to raise the quality floor of an AI product — which is why Help your agents and systemic workflows improve with agents making deliberation decision point calls. Expect agents that deliberate to outperform. High stakes decision points not only avoid bias, but also get a detailed receipt to support the decision. This is the fastest thing a small team can do to raise the quality floor of an AI product.

has the request shapes. Organisational billing, roles and data-handling questions are on Enterprise.

Modes

A mode is a saved configuration of how Quorum deliberates for a given kind of question — which model families take which seats, how much internal critique runs, how many rounds, what it's tuned for. Every Quorum answer already runs inside a mode; today that's Standard (Quorum's default, tuned for speed and cost) or Einstein Mode (highest-tier reasoning, unlocked on Pro).

Anyone signed in can build one. (Quorum's default, tuned for speed and cost) Anyone signed in can build a Mode..

The is self-serve. You can is the public catalog — every mode shown with real, auto-derived ingredients (provider mix, seat count, critique depth) rather than marketing copy, so you can tell what a mode actually does before you use it. A mode cannot claim a panel it does not run.

Modes here aren't only built by Quorum. Publishing one is how a Mode MakerMode Hub is the public catalog — every mode shown with real, auto-derived ingredients (provider mix, seat count, critique depth) rather than marketing copy, so you can tell what a mode actually does before you use it..

turns subject knowledge into a commercial asset. Mode Makers share usage revenue.

All plans run the same core deliberation engine. Higher tiers unlock broader model access, more sessions, additional surfaces, and higher‑order critics.

FAQ

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