Answer Engineering introduces a runtime layer that applies localized rule-based corrections to a model's reasoning trajectory during generation, without retraining. In a clinical benchmark for sudden sensorineural hearing loss, it increased protocol-compliant outcomes from 54.5% to 83.5% and conductive-case adherence from 1.6% to 58.9%.