Static publishing, live intelligence.

Ingest sources as records, not just text.

A feed item begins a chain of evidence. The platform keeps source identity, timestamps, extracted entities, story candidates, and relationships that can later explain why several articles belong to the same event.

That structured record supports comparison and provenance. It also prevents the generated public story from becoming the only surviving representation of what the system observed.

Separate editorial state from public delivery.

Editors need live administrative tools, review queues, source context, and the ability to correct or republish. Readers need a dependable page that loads quickly under changing traffic.

Generating static public output after editorial approval lets a CDN serve the reading experience efficiently. Application services remain available for the parts that genuinely require identity or live state.

• Structured source and article records
• Multi-source clustering and provenance
• Human editorial review and republishing
• Static page delivery with live APIs where needed

Treat rebuild cost as an architectural signal.

Static publishing can become slow when every story change triggers broad work. Measure extraction, rendering, asset creation, indexing, and cache publication separately. Rebuild only what the changed record affects.

The same principle applies to search indexes, feeds, entity pages, and mobile payloads. Incremental boundaries turn a publishing pipeline from one long command into a system that can scale and recover.

Keep the reader connected to evidence.

Speed is not the product by itself. A useful news platform should help readers see source provenance, compare coverage, follow the development of a story, and understand what is known versus inferred.

Architecture supports that editorial promise by preserving evidence throughout the pipeline and exposing it in forms that remain usable on the public site and mobile experience.