Meta reports that an AI agent built as a domain-specific expert system is saving subject matter experts substantial time. The agent separates what it knows from how it reasons through a structured, auditable knowledge architecture, and a self-improvement loop compiles expert feedback into verified, regression-tested updates without model retraining. The system targets a compliance domain and organizes 200+ knowledge files into a taxonomy of position, vocabulary, routing, and gateway files. Meta says the pattern generalizes to other text-governed domains.
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