Fine-tuning forgets. RAG leaks context. Hypernetworks build the model your agent needs on demand.

Enterprise AI agents often stall in production due to knowledge degradation and context limitations. Hypernetwork-generated models offer a third approach, building task-specific adapters on-demand from business policies rather than through retraining or retrieval-augmented prompting.