Methodology

News items are retrieved on a schedule from registered RSS feeds, deduplicated by URL, and stored in a cache with fetch and “last seen” timestamps. Archived items are retained according to backend retention rules.

Plain-text fields from each item (title, description, and extracted body where available) are passed through NLP for topics, lightweight tags, entities, and keywords used in the briefing UI and word cloud.

AI summaries are generated for many items using a local-first pipeline with an optional cloud model fallback, depending on server configuration. A summary is an aid to scanning—not a substitute for reading the publisher’s full article or paper.

Trend and programmatic pages apply transparent keyword filters over the same cached corpus so the reader can see which stories triggered inclusion.