Young Cha

Domain-specific agent evaluation no longer requires manual ground-truth curation: autonomous research and verification loops constrained by reusable expert rules yield grading rubrics that professional analysts prefer over expert baselines.

Financial advisor personas grounded in fund data can deliver tailored investment insights that far exceed generic recommendations, making manager-specific expertise accessible in LLM systems.