AI models produce different outputs every time they're called. That's a problem for onchain consensus. If nodes can't agree on a result, the network can't be trusted. Deterministic LLMs fix this.  Same input. Same output. Across every validating node. No central API. No single point of failure. Every result verifiable onchain.