Multi-LLM Architecture

An AI system architecture that uses models from multiple providers (e.g., OpenAI, Anthropic, Google) rather than relying on a single model. Each model has a distinct fingerprint of strengths, weaknesses, and biases from its training data.

Multi-LLM architecture creates model diversity that prevents intellectual monoculture — the AI equivalent of planting multiple crop strains to prevent a single disease from wiping out the entire harvest.