Stop building agents that can’t change models

No one can predict which AI provider will win the next benchmark cycle. The smarter approach is to build an architecture that can adapt as models change. One with a stable contract between agents and models, tools and state that exist outside any single provider, and evaluations that make each model change a measurable decision.