Developer builds n8n pipeline to turn 20 RSS feeds into WordPress draft articles

A developer has built an automated n8n workflow that monitors roughly 20 RSS feeds every three hours and converts relevant stories into WordPress draft articles, originally created for a friend who runs a news site. The pipeline uses a SHA256 hash and a Postgres database to deduplicate stories, ensuring the same article is never processed twice. A low-cost AI model first scores each story's relevance on a scale of 0 to 100, and only items clearing a threshold of 70 are passed to more capable models — Claude or Gemini — for rewriting into SEO-optimized articles. Each approved draft is automatically paired with an Unsplash cover image and triggers a Telegram notification so an editor can review it promptly. The system is designed as an editorial assistant rather than an autonomous publisher, keeping a human in the loop for all final approval decisions.
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