Can an LLM wrapper replicate Burna AI's results?

No. An LLM wrapper hallucinates. The Burna AI engine structurally cannot produce a grade outside the defined CTCAE set, cannot skip citation, and cannot contradict its own upstream findings. The constraint is architectural, not a prompt instruction. The pipeline spans twelve agent categories with cascading output boundaries; two patents are filed on the architecture. The constraints survive prompt injection, model swaps, and adversarial inputs in a way that a single-model wrapper cannot.