A developer built a Personal AI News Agent using n8n, OpenAI, and Tavily to combat daily information overload. The system reads RSS feeds overnight, filters content with editorial logic, and delivers a curated email briefing each morning.

Instead of browsing dozens of articles, the agent uses a scoring system to surface only high-value updates. It evaluates each headline like a Senior Tech Editor, focusing on relevance for AI Engineers, discarding clickbait and minor releases automatically.

The tool cuts through the noise of 50+ daily AI announcements by researching top stories with Tavily AI and synthesizing multi-source context. This approach saves roughly five hours weekly that were once lost to doomscrolling. A follow-up post will explore testing the agent’s accuracy using Google NotebookLM.