The 18 SQL queries against 1,243 rows represent a lightweight data retrieval phase; compute concentration is almost certainly in LLM synthesis rather than SQL profiling. This workload is acceptable for scheduled runs on a daily or weekly cadence, though on-demand execution may introduce latency if users expect sub-second response times. The primary lever for cost reduction is query consolidation—combining multiple single-table passes into fewer, wider SELECT statements with conditional logic—which would reduce both execution overhead and the volume of result sets fed into downstream LLM processing.