How do you decide when a cheaper model can take over a task that your agent repeats?
A practical cost question: how do you know when a cheaper model can safely take over a task your agent repeats? The suggested approach is to benchmark both models on a sample of real repeats, score the outputs, and keep a spot-check loop after switching. Model behavior drifts, so the comparison needs to be ongoing, not one-off.