One Question.
10 AI Minds.

Encrypted by Fernet

One Perfect Answer.

Roundtable is built on one core idea: no single AI model has the whole answer.

Instead of asking one chatbot and hoping for the best, Roundtable puts multiple AI models — Claude, GPT, Gemini, and others — in the same conversation around the same prompt. They don’t just answer independently; they respond to each other. One model’s output becomes the next model’s input, across multiple rounds.

What makes it different:

• Structured roles, not parallel answers. Each model can be given a distinct system prompt — a critic, a contrarian, a domain expert, a summarizer — which defines how that model shows up in the conversation. It’s not just “ask 5 AIs the same question.” Each voice has a specific purpose and lens.
• Rounds create iteration. Models can push back on each other, poke holes, refine, and build. The more rounds, the deeper the refinement. Ideas get stress-tested.
• A synthesizer pulls it together. One designated agent (or model) reads the full conversation and distills it into a single, final output — absorbing the best arguments and discarding the weak ones.
• Multi-table (advanced). For complex problems, you can run separate isolated group discussions in sequence, each feeding into the next — like committees reporting to a board.

The philosophy in one sentence: Disagreement between smart minds produces better conclusions than any single smart mind alone — iron sharpens iron. Roundtable just automates that process with AI.

The tagline says it plainly: “One Question. 10 AI Minds. One Perfect Answer.”