The “AI Advisory Board” (also called an LLM Council) is designed to prevent incorrect or one-sided answers from a single AI model. Instead of relying on one model, multiple leading language models work together. Each model answers a question independently, then they anonymously review and rate each other’s responses. Finally, a designated “chairman” model synthesizes these ratings into one consensus answer.
This multi-step process increases reliability by combining different perspectives, reducing hallucinations through peer review, and producing higher-quality responses—especially for complex or critical topics. It also offers transparency because you can inspect each model’s individual answer. The system is open source, works locally, lets you choose which models take part, and can be integrated via the OpenRouter API.
It is particularly useful for research, technical analysis, and decision-making where accuracy and confidence matter.
