MyArxivPodcast orchestrates an end-to-end AI pipeline to transform scholarly content into engaging audio shows. First, it polls arXiv APIs for new research submissions in user-defined categories and retrieves metadata and abstracts. Next, it invokes OpenAI's GPT-4 model to craft clear and concise summaries, highlighting key contributions and results. Summaries are fed into a TTS engine such as Amazon Polly or Google Cloud Text-to-Speech, producing natural-sounding narration. The agent automatically tags and organizes the generated audio, compiles episodes, updates an RSS feed, and handles file hosting integration. Advanced settings allow custom voice selection, summary length control, publication schedules, and distribution via popular podcast platforms, providing researchers and listeners with seamless, up-to-date scientific audio briefings.

TidyRead is an advanced AI-driven tool designed for individuals and organizations seeking a more organized way to consume information. By utilizing RSS feeds, TidyRead aggregates content from diverse sources, automatically summarizing it into concise digests. Users can customize their feeds and specify delivery times, making it a perfect solution for busy professionals, researchers, or anyone wanting to stay updated without the clutter. This streamlined approach not only saves time but also enhances the overall reading experience by focusing on what truly matters.