Magi | AI Consensus Engine

What is Magi?

Magi is an AI consensus engine that combines the power of multiple language models to provide more reliable and balanced responses. By consulting OpenAI's GPT, Anthropic's Claude, and Google's Gemini simultaneously, Magi synthesizes their responses to deliver the most accurate and well-rounded answers.

How It Works

When you ask Magi a question, it:

  • Sends your query to multiple AI models in parallel
  • Gathers responses from each model
  • Analyzes agreement and disagreement between models
  • Provides a consensus answer with confidence level

Why Use Magi?

By combining multiple AI perspectives, Magi helps reduce individual model biases and provides more reliable answers. Think of it as consulting multiple experts rather than relying on a single opinion.

Operating Modes

Parallel Mode

Parallel Mode Diagram

In parallel mode, all AI models are queried simultaneously having their responses averaged out with a singular consensus as the end goal.

Series Mode

Series Mode Diagram

In series mode, models are queried sequentially, resulting in a more refined response with each stage.