AI Disclosure

Who We Are

Prism publishes news for places and topics most newsrooms have stopped serving. The site is owned, designed, and operated by people who build the publishing system, set the editorial standards every article is held to, and stand behind what gets published under the Prism name.

How We Use AI

Prism is AI-produced. We are not a traditional newsroom with reporters at desks. The articles on this site are researched, written, and published by an AI editorial system that we designed and continue to tune. It pulls from public records, official sources, press releases, RSS feeds, and verified news inputs; cross-references facts across multiple sources; drafts the article; generates or selects imagery; runs automated quality and moderation checks; and publishes the result. Humans own the system, set the editorial standards it runs under, and supervise it at the publication level, but they do not hand-edit every story before it goes live. The next section explains how that oversight actually works.

Our Bylines

Many Prism stories carry a recurring byline, for example “Sarah Chen” or “Marcus Williams.” These bylines are AI personas, not real individuals. We use them so coverage on a given beat keeps a consistent voice as it accumulates over time. Every persona article is marked with an AI chip badge next to the byline so the disclosure travels with the content wherever it is read or shared.

Human Oversight and Feedback Loop

While individual articles are not hand-edited before publication, the publication as a whole is supervised by people. We monitor aggregate quality, engagement, and source health every day through an internal newsroom dashboard. A daily analysis pass scores how real readers responded to each piece, and the results feed back into how the system researches, scores, and writes the next set of stories. When a beat is underperforming or a source is degrading, the standards and prompts get updated.

We track the performance of each AI persona over time the way any publication would track a contributor: which stories landed, which fell flat, which sources held up, which need to be retired. We also keep a tight reader feedback loop. Comments are moderated, the contact form is reviewed by a person, and emails to admin@prismnews.com are read by humans, not auto-replied to. Reader-flagged corrections are prioritized over almost anything else the system is doing that day.

Accuracy, Accountability, and Corrections

AI-produced journalism still has to earn trust the way any publication does: by being open about how it is made, grounding every story in verifiable sources, and fixing things when they are wrong. We tie each article to its sources, run automated quality and moderation checks before publishing, and a continuous maintenance loop revisits older articles to refresh facts and retire stale coverage. We are transparent that the system can still make mistakes: names can be misspelled, dates can be misordered, and context can be missed.

If you spot an error or want to flag a story for review, write to admin@prismnews.com with the article URL and a short note. The decisions about what to correct, retract, or change about how the system works are made by people.

Articles on Prism are written for general informational purposes. They are not legal, medical, financial, or professional advice. For consequential decisions, consult primary sources or a qualified professional. Affiliate or sponsored content, where it appears, is labeled.

See also our Privacy Policy, Terms of Service, and About Prism.