BRAIN
(LLM Recommendation Engine)
The Mission
Architected 'BRAIN', a policy-driven recommendation engine that separates the control plane from the data plane. Instead of baking business logic into model weights, strategies (like upsell vs cross-sell) are injected at runtime. LLMs act as cognitive controllers deciding *how* recommendations should behave, while vector databases execute the retrieval. This allows business teams to hot-swap strategies instantly without retraining models.
Policy-Driven
LLM Controller
Runtime Swappable
Core Technologies
Runtime Strategy Injection
Change recommendation behavior (e.g. margin optimization vs discovery) instantly without retraining.
LLM Control Plane
LLMs reason about the active policy and user context to govern the retrieval data plane.
Adaptive E-Commerce
Shifted from rigid, expensive model-driven ranks to flexible, experiment-ready policy engines.