Accuracy
We verify before we publish. Claims are attributed to their source, and we corroborate with another credible source when the first source is promotional, incomplete, or thin. We link sources so readers can check our work rather than trust it on faith.
We avoid overstating model capability, product availability, funding details, or company claims. If a source says a feature is preview-only, region-limited, waitlisted, enterprise-only, or not yet generally available, the article should preserve that limit.
Accountability
The AI Feed uses AI assistance, but the site is accountable for what it publishes. AI can help monitor sources, compare documents, organize notes, and draft working copy. It cannot be the source of record for a factual claim.
A person must be able to trace each material claim back to a source a reader can inspect. If we cannot trace it, we remove it or label it clearly as analysis.
Privacy
We collect only what the site needs to run, secure, measure, and improve: cookie-free aggregate analytics, form details, and standard technical request data. We handle information about people and organizations carefully, and we weigh whether a detail is necessary before we report it.
We do not ask readers to create an account to access coverage.
Commercial independence
The AI Feed may earn revenue through ads, affiliate links, sponsorships, or paid product links. We disclose paid relationships where they appear. They do not control our rankings, source notes, corrections, or conclusions.
We do not sell hidden endorsements, positive coverage, or changes to editorial judgment.
Conflicts and incentives
AI coverage is full of incentives: product launches, benchmark claims, funding narratives, cloud partnerships, and competitive positioning. We treat company claims as claims until they are supported by source evidence, product availability, independent reporting, or observed market behavior.
When a story depends heavily on one company’s framing, we try to say so. When a number is useful but easy to overread, we explain the limit.
When we get it wrong
We correct errors promptly. Reader flags are part of the process, not an exception to it. Corrections that affect facts, dates, numbers, availability, attribution, or conclusions receive priority.
Readers can report problems through the correction button on articles or through the Contact page.