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Multi-AI consensus MCP server that queries multiple AI models (OpenAI, Claude, Gemini, custom APIs) in parallel and synthesizes responses to reduce bias and improve accuracy. A Python implementation of the wisdom-of-crowds approach for AI decision making.
Claude Code skill implementing Andrej Karpathy's LLM Council methodology. Runs any decision through 5 independent AI advisors (Contrarian, First Principles, Expansionist, Outsider, Executor), anonymous peer review, and chairman synthesis. Outputs HTML report + full markdown transcript.
Multi-source research orchestration engine. Queries 35+ sources with Wikipedia RSP reliability scoring, phased execution with early stopping, per-query cost control, and pluggable AI synthesis.