The 9 SQL queries against 216 rows represent minimal database load, indicating compute time is concentrated in LLM synthesis rather than data retrieval. This workload is suitable for scheduled runs given the single-table scope and modest row volume, though on-demand execution would also be feasible without performance risk. The primary lever for cost reduction is optimizing prompt design and response constraints in the synthesis phase—SQL optimization will yield negligible gains at this scale.