The 15 SQL queries against a single 150-row table indicate minimal database overhead; compute time concentration almost certainly lies in LLM synthesis rather than data retrieval. This workload is suitable for scheduled runs on a predictable cadence but risks timeout or cost overruns if triggered on-demand without rate-limiting controls. The primary lever for cost reduction is query consolidation—batching the 15 discrete SQL operations into fewer, wider joins would eliminate redundant table scans and reduce the number of LLM invocations downstream.