A team has been using the most capable model to reformat meeting notes into a fixed bullet template. The results are fine, but each request takes noticeably long and the team runs dozens a day. What is the most appropriate adjustment?

Answer: C — Test a faster, lower-cost model on a sample of notes and switch if it meets the template reliably.

Routine reformatting rarely needs top-tier reasoning. Testing a faster model on a representative sample, then moving down if it meets the bar, aligns the model with the task (c). Staying put by default (a) keeps paying in time for capability the task doesn't use. Self-rated effort (b) isn't a reliable quality signal. Batching everything into one request (d) doesn't address the tier mismatch and makes the output harder to check.