News Pipeline

Automated content intelligence platform

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Data Collection

The platform continuously monitors external news sources through RSS feeds and targeted scraping. Every incoming item is fingerprinted with vector embeddings, so duplicates and near-duplicates are filtered out before they ever enter the pipeline.

Processing

A fifteen-step AI conveyor translates, fact-checks and rewrites each story, then generates a matching cover image. An LLM judge scores the result for quality before it is categorized and linked to related articles.

Publishing

Finished articles are stored in the platform's own database and delivered through a token-protected REST API. Downstream projects pull ready-to-publish content the moment it clears quality control.