AI article
Shrink a high-volume agent step after the strong model
Community description: Prove the step on the strongest model, move only narrow high-volume work, and hold the product metric steady.
Dev.to | Oct 3, 2026 | Conor Bronsdon
Automated excerpt
Narrow steps that run on every request, on a model stronger than that step needs, are candidates for a cheaper model. Fergal's canonicalization step was already on GPT-4. 1, then a post-trained 14-billion-parameter model. The open-ended answer stayed on the frontier model.
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