Decision Council

Ask one AI a question, get one answer. You can't tell if it's great or mid because you only saw one angle.

The council fixes that. It runs your decision through five advisors, each thinking from a fundamentally different angle. They peer-review each other's work anonymously. Then a chairman synthesizes everything into a verdict that tells you where the advisors agree, where they clash, and what you should actually do.

Adapted from Andrej Karpathy's LLM Council. He dispatches a query to multiple models, has them peer-review anonymously, then a chairman produces the final answer. Here the diversity comes from five thinking lenses on one model, not five different models — that is the whole distinction from the model-diversity skills (models-consensus, models-roundtable, council). Reach for those when you want genuinely independent providers on a repo/code decision; reach for this when you want independent angles on a judgment call.

When to run it

The council is for decisions where being wrong is expensive and there is genuine uncertainty.

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?"