Researchers developed an AI agent integrating Reasoning and Acting (ReAct) with Retrieval-Augmented Generation (RAG) for evidence-based genetic disease severity classification. The agent achieved 93.55% accuracy and provides reliable, automated classification supported by direct evidence. This system enables standardized panel design for genomic screening.