This guide to ai research assistants: a practical fact-checking workflow explains the core concepts, practical decisions, and common mistakes to watch for. Use the steps below as a starting point, then verify details against the tools and requirements in your own workflow.
Define the research question
Turn a broad topic into a question with boundaries: audience, time period, geography, and what counts as a reliable source. Ask the assistant to suggest search terms and source types, not to manufacture a finished bibliography.
Open the primary sources
Prefer official documentation, original research, regulatory material, datasets, and direct statements from organizations involved. Read beyond the abstract or snippet. Confirm that the source says what the AI summary attributes to it and note any conflicts between sources.
Separate evidence from interpretation
Keep a table with the claim, supporting source, publication date, limitations, and your conclusion. Mark uncertain points instead of smoothing them into confident prose. For statistics, record the denominator and time period as well as the headline number.
Practical checklist
Use AI for discovery and organization; make source verification and final judgments a human responsibility.
Try it yourself
Select one factual claim for a short article and create an evidence table with columns for the claim, primary source, publication date, supporting passage, and confidence. Ask an AI research assistant to suggest search terms, but fill the table only after opening each source and confirming that it supports the claim.
Editorial note: This educational guide explains general methods and does not claim independent product testing. Check official documentation for current features, pricing, and terms before making decisions.
