Different AI models answer the same question differently, each with its own reasoning, knowledge gaps, and blind spots. OpClave was built on that observation: instead of trusting one model, why not make them all work together?

When you ask a question, your prompt is sent simultaneously and independently to every model in the council. Each gives its own uninfluenced answer. A lead model (your choice) then reads all of those responses and synthesises them into a single output, identifying where the models agree (high confidence), where they disagree (uncertainty), and producing a final answer with far more context than any single model could alone.