
An n8n automation that collects news from multiple web sources and YouTube channels, processes articles through a two-pass LLM pipeline for summarization and relevance scoring, sends candidates to Telegram for manual approval, then compiles and delivers a formatted HTML email briefing.
Every morning, the client receives a curated briefing in their inbox without ever needing to open a news site. This n8n workflow scrapes a dozen sources overnight—including industry news, YouTube channels, and weather APIs—and runs each article through an LLM to extract what actually matters. It deduplicates content against previous briefings and sends a shortlist to my Telegram for a quick 'approve' or 'reject' before anything goes out. Once I tap approve, the workflow merges the stories, generates a styled HTML email, and delivers it. The whole pipeline is autonomous: if a source is down, it's skipped; if an article is a duplicate, it's dropped. This ensures nothing lands in the client's inbox that I haven't vetted first. I built this because the client was wasting three hours every morning skimming the same sites; now, it takes just two minutes on Telegram.
Tell me what you're trying to build. I'll tell you if I can help and how.
Let's Talk