The 10 SQL queries against 3,574 rows represent a modest data retrieval footprint, indicating that compute concentration likely shifts to LLM synthesis rather than database operations. This workload profile is suitable for scheduled runs on a standard cadence, though on-demand execution remains viable if latency tolerance is 2–5 minutes. To reduce overall pipeline duration on future runs, prioritize filtering or sampling the input dataset upstream of LLM processing—reducing row volume will yield proportionally larger gains than query optimization at this scale.