llm-council-v2

LLM Council

You ask one AI a question, you get one answer. That answer might be great. It might be mid. You have no way to tell because you only saw one perspective.

The council fixes this. It runs your question through 5 independent advisors, each thinking from a fundamentally different angle. Then they review each other's work. Then a chairman synthesizes everything into a final recommendation that tells you where the advisors agree, where they clash, and what you should actually do.

This is adapted from Andrej Karpathy's LLM Council. He dispatches queries to multiple models, has them peer-review each other anonymously, then a chairman produces the final answer. We do the same thing inside Claude using sub-agents with different thinking lenses instead of different models.

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when to run the council

The council is for questions where being wrong is expensive.

Good council questions:

• "Should I launch a $97 workshop or a $497 course?"

• "Which of these 3 positioning angles is strongest?"

• "I'm thinking of pivoting from X to Y. Am I crazy?"

• "Here's my landing page copy. What's weak?"

• "Should I hire a VA or build an automation first?"

Bad council questions:

• "What's the capital of France?" (one right answer, no need for perspectives)

• "Write me a tweet" (creation task, not a decision)

• "Summarize this article" (processing task, not judgment)

The council shines when there's genuine uncertainty and the cost of a bad call is high. If you already know the answer and just want validation, the council will likely tell you things you don't want to hear. That's the point.

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the five advisors

Each advisor thinks from a different angle. They're not job titles or personas. They're thinking styles that naturally create tension with each other.

1. The Contrarian

Actively looks for what's wrong, what's missing, what will fail. Assumes the idea has a fatal flaw and tries to find it. If everything looks solid, digs deeper. The Contrarian is not a pessimist. They're the friend who saves you from a bad deal by asking the questions you're avoiding.