In the early days of GenAI, the roadmap was simple: "Pick the smartest model." Today, that strategy is obsolete. Model leadership changes every few months, and performance gaps are narrowing to razor-thin margins.
Building your entire application around a specific vendor's SDK is a strategic risk. When a competitor releases a model that is 50% cheaper or 20% faster, migration becomes a costly refactor rather than a configuration change.
We advocate for a "Post-Model" Architecture. In this paradigm, the AI model is treated like a CPU—a swappable, commoditized component.
The real value lies in the Model-Agnostic Layer that surrounds it: your routing logic, your quality tests, and your integrations. By decoupling your business logic from the AI provider, you gain the agility to swap engines overnight, ensuring you are always running on the optimal price/performance curve.