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Learn how to transform large language models into domain-specific expert systems through a systematic approach to codifying and implementing specialized knowledge. Discover the methodology developed at Anterior that has achieved state-of-the-art clinical reasoning capabilities while serving health insurance providers covering 50 million American lives. Explore how to encode domain-specific failure modes as an ontology, converting expert knowledge into quantifiable evaluation metrics that drive application development. Understand the collaborative framework between clinicians, engineers, and product managers that enables effective knowledge transfer and system optimization. Master the evaluation-driven AI iteration process that can be adapted across industries to build vertical AI applications that leverage deep domain expertise rather than relying solely on off-the-shelf language models.