Consensus
Consensus is an AI research and learning tool that can help users explore questions, papers, and evidence summaries.
Review checked
Example tasks
- Exploring evidence around research questions
- Preparing source-checking workflows
- Reviewing paper summaries cautiously
- Comparing research discovery needs
- Checking citation, privacy, and academic integrity risks
Check before use
- AI-generated summaries, evidence statements, citations, and conclusions should be reviewed against original sources
- Paper coverage, source availability, citation behavior, and research features may change
- Academic integrity, privacy, sensitive documents, and high-stakes research topics should be handled carefully
- Plans, pricing, export support, integrations, collaboration features, workspace options, model details, API details, and exact availability may change
Official announcement · 2026-10-05
Check whether a citation supports your claim →Source checked 2026-10-14. See what to recheck before your next task.
Overview
Consensus is an AI research and learning tool that can help users explore questions, papers, and evidence summaries. It can be useful when a person wants a starting point for research discovery before reading original sources and checking citations directly.
Consensus is research-focused, but users should still verify generated summaries, citations, evidence statements, and conclusions against the original papers before relying on them.
Useful For
Beginners may use Consensus-style workflows to explore research questions, identify source material to check, or prepare an evidence-review outline. Any AI-generated summary, evidence statement, citation, or conclusion should be verified against original sources before it is used for school, work, research, or public writing.
Research discovery tools should be treated as a starting point, not as a guarantee that evidence is complete, current, correctly interpreted, or suitable for high-stakes decisions.
Notes
Features, plans, pricing, paper coverage, citation behavior, research workflows, export support, integrations, collaboration features, workspace options, API details, model details, privacy details, and availability can change. Check official Consensus pages for current details before choosing a plan or relying on a specific capability.
Be careful with sensitive, confidential, unpublished, academic, medical, legal, financial, customer, or business information. Review original papers, citations, source context, academic integrity rules, privacy requirements, and expert-review needs before relying on AI-generated research output.
More use cases and potential advantages
Ways to explore
- Explore a question before reading original sources
- Prepare a cautious evidence review
- Collect papers to verify manually
- Draft research notes for human review
- Document source and citation checks before relying on output
Potential advantages
- May help users explore research questions and possible source material
- Can be useful for preparing a paper-reading or evidence-checking workflow
- May support users who need a starting point for research discovery
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