Editorial transparency

How AI Signal works

AI Signal is built for people who want the practical AI update, not a content farm. We cover model launches, tooling, research, business moves, and regulation with an editorial process designed to be source-grounded, useful, and explicit about uncertainty.

Source-first reporting

We prioritize original materials such as official product announcements, docs, release notes, research papers, regulatory filings, and company or lab posts. Secondary coverage can add context, but it should not replace primary evidence.

Human-reviewed publication

AI helps with monitoring, clustering, and drafting. A human editor reviews every brief before publication, checks the framing, removes unsupported claims, and decides whether the piece is ready, needs edits, or should be rejected.

Useful over exhaustive

We are not trying to rewrite the entire internet. Each article should tell readers what changed, why it matters, where the evidence comes from, and what is still uncertain — especially for developers, builders, and product teams.

Editorial workflow

We monitor a curated set of official feeds, research sources, and established industry publications.
Related items are clustered so one update does not become five duplicate posts.
An AI-assisted draft is created from the available source material.
A human editor reviews the draft before publication and can edit, hold, or reject it.
Published articles link back to source material and can be updated if better information appears.

Source standards

We prefer original documentation and direct evidence. That includes launch posts, pricing pages, model cards, API docs, papers, benchmark notes, legal texts, regulatory announcements, and company or lab statements. Media reports can be useful, but if we cannot trace a claim back to something concrete, we should treat it with caution.

Social posts may point us toward a story, but they are not enough on their own for strong factual claims unless the account is the primary source and the claim is verifiable.

What we expect from an article

A factual headline without clickbait.
A summary that explains what happened and what changed.
Clear "why it matters" takeaways for builders, operators, or product teams.
Linked sources so readers can inspect original evidence.
Limitations or uncertainty called out when coverage is thin or conflicting.

How we use AI

We use AI for triage, clustering, summarization, and drafting. We do not rely on AI as a source of truth. Drafts that feel generic, unsupported, repetitive, or overconfident should be edited heavily or not published at all.

Corrections and updates

If we get something wrong, we update the article and refresh the timestamp when appropriate. If a story is still developing or the evidence is incomplete, we try to say that plainly instead of pretending the reporting is more certain than it is.

Advertising and commercial links

AI Signal may run advertising and may include commercial links on selected resource pages such as deals. Editorial coverage is still expected to meet the same standards for usefulness, attribution, and clarity.

Questions, corrections, or tips

The fastest way to reach us is [email protected]. You can also visit the contact page or read more about the publication.

This page describes our intended standards. It is a promise about how we want the site to operate, not a guarantee that every draft is perfect.