I adapted 1,200-year-old Islamic hadith verification methodology into a trust framework for multi-agent AI systems
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When a multi-agent AI system answers you, that answer has passed through several “hands” - a scraper, an ingestion model, a synthesis model. Each can distort or invent. Current tools log what happened, but nothing grades who transformed a claim or how much to trust the result. Classical Islamic hadith scholarship spent ~1,200 years on a structurally identical problem: whether to trust knowledge passed through chains of human narrators. Their solution: grade every transmitter, judge a chain by it
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