Critique uses a multi-model approach where one AI generates a research draft and another reviews, validates, and refines it; improving accuracy, depth, and structure. Council runs multiple models in parallel, compares their outputs side-by-side, and highlights agreements, differences, and unique insights to enable more informed, balanced decisions.

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Really exciting to see Researcher in Microsoft 365 Copilot evolve with Critique & Council.

Problem → Solution: Single-model research often lacks depth, accuracy, and validation. This solves it with a multi-model system that separates generation from evaluation and enables comparison.

What’s different:

Instead of one model doing everything, multiple models collaborate—one creates, another critiques, or multiple run in parallel.

Key features:

Critique: dual-model generation + expert-style review
Council: side-by-side model comparison with a judge summary
Stronger accuracy, structure, and completeness

Benefits: More reliable insights, deeper analysis, and better decision-making

Who it’s for & use cases: Knowledge workers handling complex research, analysis, and reporting

Big step toward multi-model AI systems!