focuslead/ai-council-framework
Research-backed methodology for multi-AI collaborative decision-making with structured debate, consensus synthesis, and bias reduction
This framework helps decision-makers get more reliable, accurate answers from AI models, especially when dealing with complex or critical questions. It takes your prompt and feeds it to multiple AI models, then facilitates a structured debate and synthesis to produce a final recommendation with confidence scores, significantly reducing errors like hallucinations or sycophancy. This is for professionals who rely on AI for analysis, research, or strategic insights and need to trust the output.
Use this if you need highly trustworthy and thoroughly validated answers from AI for critical decisions, want to minimize AI errors like hallucination, or are tired of AIs agreeing with you even when you're wrong.
Not ideal if you need instant, quick-fire answers where absolute accuracy and deep consensus are less critical than speed.
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License
MIT
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Last pushed
Feb 03, 2026
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