We propose a novel solution to address the limitations of traditional recommender systems by leveraging large language models (LLMs) as smart content filters. Our LangChain-powered approach provides transparency, configurability, and flexibility, allowing users to easily specify their viewing preferences and see immediate effects. By using LLMs to intelligently filter social media feeds, we aim to reduce the impact of conflicting interests between system owners and users, promoting a more user-centric experience.