Designing a Model-Agnostic AI Architecture
A model-agnostic architecture allows teams to test and switch providers without rewriting product workflows. This essay explains the components needed for practical model flexibility.
Model Flexibility
The Hidden Problem in AI Design Applications: Model Lock-in
AI design applications depend heavily on model output quality. If the architecture is tied to one provider, teams cannot quickly experiment when quality is poor. Model lock-in is a product and release risk.