Generate consensus answers with multiple AI models & peer review system

AI Council: Multi-Model Consensus with Peer Review

Inspired by [Andrej Karpathy's LLM Council](https://github.com/karpathy/llm-council), but rebuilt in n8n.

This workflow creates a "council" of AI models that independently answer your question, then peer-review each other's responses before a final arbiter synthesizes the best answer.

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Who is this for?

- If you want to prepare for an upcoming meeting with different people and prep for their different views - find any "blind spots" in your view on a certain subject - Researchers wanting more robust AI-generated answers - Developers exploring multi-model architectures - Anyone seeking higher-quality responses through AI consensus, potentially with faster/cheaper models. - Teams evaluating different LLM capabilities side-by-side

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How it works