Model OpsApr 18, 20265 min read
Choosing models for real work, not benchmark theater
A practical method for deciding when to use speed, reasoning depth, style control, or a cheaper draft model.
01
Start with the cost of being wrong
Model choice should begin with risk. A light draft, a customer email, and a technical decision do not need the same level of reasoning. Put expensive models where errors are costly or slow to review.
02
Use fast models to create options
Fast models are useful for outlines, rewrites, title variants, and broad exploration. The point is not to get a final answer immediately. The point is to make the next decision easier.
03
Reserve deeper reasoning for constrained questions
Strong reasoning models perform best when the task has a clear artifact, source material, and success criteria. Give them the hardest part after cheaper passes have clarified the shape of the work.