01
A monitor watches the sources, hourly
Every hour, a scheduled job reads public feeds — journal press releases, regulatory announcements from the FDA and CDC, the medRxiv preprint stream, and health-news searches — and normalizes what it finds into one queue. The monitor runs no language model at all. It fetches, deduplicates by canonical URL, and stops. Nothing it collects is a story yet.
02
Signals are scored before anything is written
Twice a day the queue is scored against four questions: whether the story creates a question people will still be asking in six months, whether that question routes to real care, whether anything useful exists on the subject already, and whether an accessible primary source can actually carry an explainer. A signal that fails any one of them is spiked with the reason recorded. Medication, self-harm, cancer screening, vaccine and pediatric-diagnosis subjects carry an additional flag and cannot proceed until a human approves the angle.
03
The desk reads the primary source
A story is written from the study, not from the press release and not from another outlet's coverage. Where the source is a preprint, the piece says so — in the headline row, in the feed excerpt, and beside the link — because a preprint has not been peer-reviewed and a reader deserves that before the number, not after it.
04
Every number traces to a cited source
Each empirical claim in a Gale Read is numbered to a source the reader can open. Citations are checked against the source before the story ships. This is the editorial policy applied to news: if a figure cannot be sourced, it is cut rather than approximated.
05
A daily cap, set in the pipeline
The number of analyses that can publish in a day is a configured ceiling rather than an aspiration — the pipeline will not exceed whatever it is set to, and what actually published is listed in the archive above. Volume is the easiest thing to manufacture and the least worth having, and a research desk that publishes everything it detects is not reading anything closely.
06
A story stays out of search until a clinician reviews it
A published analysis is public and readable immediately, and it says on its face that clinician review is pending. Until a licensed clinician signs it, the page tells search engines not to index it and it is absent from the sitemap. Being public and being ranked are two different permissions here, and only the second one waits on a reviewer.
What AI does here, stated plainly
The desk is AI-assisted. Drafting, summarizing and structuring are done with model assistance; every citation is independently verified against its source, and no analysis enters a search index without a licensed clinician's review. The same disclosure appears at the foot of each story rather than only on this page, because that is where a reader actually needs it.