Corrections Policy
We make mistakes sometimes. This page explains how to tell us about one, what we do with your report, and how corrections appear on the site.
How to report an error
Use the "Report a correction" link at the end of every article (it pre-fills the article's address), our contact form, or email futureaitechx@gmail.com. Include the article link and, if you can, a source that supports your point. You do not need an account, and reports are read by editors.
What happens to your report
Every report is checked against the article's cited sources and, where relevant, the provider's own documentation. If the article is wrong, we correct it; if it is right or the evidence is inconclusive, we leave it and may clarify the wording if it misled you. Correction requests are triaged like any other editorial work: safety-relevant errors (for example in security advice) take priority over stylistic ones.
We cannot promise individual replies to every report, but every correction that changes what an article says is recorded and dated as described below.
How corrections appear
A corrected article shows an "Updated" date in its byline — and that date only appears when the article's content actually changed, never to make an older piece look fresh. Every saved change also creates a revision in our content management system, so the edit history of an article exists even where the public page does not display it. Significant factual corrections are noted in the article itself where the change could mislead someone who read the earlier version.
Tool and pricing pages in our AI tools directory carry a per-item "last verified" date with their sources, so you can see how current each record is.
What we do not do
We do not silently rewrite the substance of a published article without recording the change; we do not remove articles to hide mistakes (articles are unpublished or merged only for editorial reasons, with redirects left in place); and we do not describe a process as existing when it does not. If we cannot verify a claim either way, we say so instead of picking a side.
Outdated information
AI products change quickly: prices, plan limits, model names and availability move constantly. An article being old does not by itself make it wrong — we flag content that likely needs re-verification (pricing, plan limits, model availability, security advice) and re-check it against primary sources before changing anything. Where our data includes a verification date, we show it rather than pretending the fact is current forever.
Related policies
Our Editorial Policy explains how articles are researched, written and approved; the Fact-Checking Policy explains how claims are verified; and the Review Methodology explains how we review AI tools and models — including how we label what was hands-on tested versus researched.