A five-step workflow for fact-checking AI-generated content

On 2026-10-31, the AI section of DEV Community published an article titled How to Fact-Check AI-Generated Content: A Five-Step Workflow. The piece lays out a five-step workflow for verifying AI-generated writing. The first step is to extract every claim in the draft that could be wrong. The second is to find the primary source for each such claim rather than relying on whatever citation the draft already carries. The third is to check that the source actually says what the draft says it says, and that the information is still current. Anything that cannot be confirmed is deleted outright rather than hedged or softened. The author stresses that looking for a citation is not enough, since AI drafts routinely attach real organisations to numbers those organisations never published. As a worked example, the article describes drafts that quote a figure and attribute it to an agency whose published materials contain no such figure, and instructs the fact-checker to trace the number back to its primary source before keeping or cutting it. Two additional practices are recommended: keep a kill-list of claims that have already been debunked, so repeated or recycled falsehoods are caught quickly, and budget realistic time, since a 1200-word draft takes roughly 15 to 20 minutes to check properly. The workflow is presented as practical guidance for teams that publish AI-assisted content and want a repeatable verification routine rather than ad hoc spot checks. At present only this single piece is on record, and there are no follow-up updates, revisions, or competing versions of the workflow to report.