AI augmentation means enriching a model's capabilities by giving it access to external context, real-time data, or specialized tools — without retraining the model itself. The model's core capabilities remain the same, but what it can access and act on is extended.
Retrieval systems, APIs, and tool integrations are all forms of augmentation. A general-purpose model augmented with a live pricing API and a product knowledge base becomes a far more useful tool for a sales team than the same model without those connections. Augmentation is often more practical than retraining.
