Consensus is an AI-powered search engine built specifically for scientific literature. You ask a research question in natural language — 'does intermittent fasting improve insulin sensitivity?' — and Consensus searches across millions of peer-reviewed papers, extracts the relevant findings, and gives you a synthesized answer that cites specific studies. The 'Consensus Meter' shows you the degree of scientific agreement on a question across the literature.

The tool fills a real gap between Google Scholar (which returns papers but doesn't synthesize findings) and general AI chatbots (which may hallucinate citations or confuse anecdote with evidence). Consensus is grounded in actual papers — every claim links back to a citable source — which makes it significantly more reliable for research questions than asking ChatGPT. The Study Snapshots feature extracts methodology, sample size, and key findings in a standardized format.

Consensus is still limited by what's in its database (primarily English-language published papers) and the quality of its extraction. For niche or cutting-edge research areas, coverage may be thin. The synthesis is most reliable on well-studied questions with substantial published research — on emerging topics, you need to read the papers yourself rather than relying on the AI summary. Professionals and advanced students will want to verify the primary sources regardless.

🐱 SAGE SAYS

Use Consensus to find the papers, then read the key ones yourself. It's an incredible literature navigator, but scientific nuance often lives in methodology details that the AI summary glosses over.

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