Short answer
The pipeline is designed around one story identity. A story can have a short news page and a linked expanded article, but index pages and topic pages remain navigation surfaces. They do not become additional versions of the same news item.
Publishing stages
- Collect public AI signals from source feeds, posts, repositories, and channel inputs.
- Map a story identity, domain, vendor, source trail, media, and Telegram message relationship.
- Prepare a short brief and an expanded longform payload.
- Run quality gates for prompt residue, repeated context, source links, translation, media, and SEO.
- Build static news and article pages, update discovery files, and hand verified URLs back to Telegram.
Why this matters
Search engines and LLM agents need stable public URLs. Readers need a clear choice between quick context and a deeper explanation. The one-brief-one-longform model keeps both needs aligned without producing duplicate story bodies.