How is Burna AI different from a single large language model?

A single LLM does classification under uncertainty. Burna AI does reasoning under constraint. Twelve agents in a cascading constraint pipeline, where each agent bounds the valid output space of every downstream agent. Outputs are structurally constrained to valid CTCAE grades. Citation is mandatory and architectural. Two patents filed. The result: failure modes typical of single-model wrappers (hallucination, citation drift, prompt injection vulnerability, model swap fragility) do not apply at the system level.