Show HN: Mailcow/Rspamd kept missing obvious spam so I built my own email filter (email-filter.ai)

A developer announced an innovative AI-powered email filtering system designed to tackle the persistent issue of spam and disorganized inboxes. By leveraging Large Language Models (LLMs), this tool automatically categorizes emails into designated folders based on their context and intent, relying on users' natural language descriptions for custom filters. Unlike traditional methods that depend on keyword matching, this system accurately sorts emails into categories such as Personal, Spam & Sales, and Newsletters, all while ensuring that data privacy is maintained since processing occurs directly on the user's email server. This development holds significant implications for the AI/ML community, showcasing the potential of LLMs in real-world applications beyond chatbots and content generation. The ability to integrate various LLMs, including OpenAI and Anthropic, into existing email services without the need for migration streamlines the transition for users and highlights the adaptability of AI technologies. With a user-friendly trial option, the system encourages experimentation and further refinement of email categorization strategies, potentially transforming how individuals manage their digital communications.