Do you guys ever downgrade a workflow after you’ve got it working?

A developer discusses the practice of downgrading Claude workflows after they have been established and are running predictably. Initially, model choices were made for reliability rather than optimization during the building phase. Now, with stable prompts and known edge cases, some tasks are considered less complex. The developer asks if others revisit model choices for older workflows in production and what factors are considered before moving to a smaller model.

This post uniquely highlights the practice of downgrading LLM workflows from larger to smaller models once they achieve stability, unlike the common focus on upgrading or initial model selection.