Daily AI News Digest: RSS, Llama 3.2 Summary & Telegram

This n8n workflow creates an intelligent, fully offline daily AI news digest. It triggers on a schedule to pull the latest articles from multiple RSS feeds focused on AI developments. Articles are filtered to include only those published the previous day, ensuring a fresh daily recap. Each selected article is then processed by a local Ollama instance running Llama 3.2 (1B model), generating concise summaries without relying on external APIs.

The summarized content, including titles, authors, and original links, is formatted into a clean, readable message. This is delivered directly to your specified Telegram chat or group via a bot. Designed for edge devices like Raspberry Pi 5, it prioritizes privacy and cost-efficiency, running entirely locally with no subscriptions or cloud dependencies.

Benefits include massive time savings on news curation, customizable RSS sources, and scalable delivery for personal use or teams. Use cases span individual AI enthusiasts staying updated hands-free, team knowledge sharing in tech companies, or operational newsletters for HR to keep employees informed on industry trends without manual effort. Easy to tweak schedule, feeds, or prompts for tailored outputs.