We present a method for diagnostic assessment Q-matrix specification combining LLM input with model-based empirical validation. An LLM generates an initial Q-matrix from item content, and response data guide subsequent Q refinement. The approach integrates substantive rationale with empirical evidence to support scalable and measurement theory-grounded diagnostic assessment.