ENLIL Runs 9 LLMs Simultaneously and Signs Every Output with Post-Quantum Crypto

A platform called ENLIL has built an AI architecture that runs up to nine large language models in parallel simultaneously, rather than sequentially feeding one model's output into the next. Each model operates in complete isolation during deliberation, preventing earlier responses from anchoring or biasing later ones. Once all models respond independently, a synthesis step merges their outputs into a structured result called a Decree, which explicitly records any dissenting views rather than hiding disagreements. Every Decree is cryptographically signed using ML-DSA-87, a post-quantum signature standard, to ensure outputs are tamper-proof. The system is designed around the principle that agreement across nine independent models is stronger evidence than consensus produced within a sequential pipeline.