The 11 SQL queries against 3,044 rows represent a lightweight relational workload; compute concentration is almost certainly in LLM synthesis rather than data retrieval. This workload is well-suited for scheduled runs on a daily or weekly cadence, though on-demand execution remains viable if latency tolerance is 2–5 minutes. To reduce future execution time, prioritize filtering at the SQL layer—apply stricter WHERE clauses to reduce rows passed to LLM processing, or implement row-level sampling strategies if full coverage is unnecessary for your reporting threshold.