
4 min • 1 lectures
This course provides a functional framework for utilizing AI agents to identify and analyze market opportunities in the telehealth sector. It begins with a technical guide on configuring Claude agents to manage email prioritization and investment sourcing. By setting up these agents to monitor specific industry sources, users can automate the triage of incoming information and focus on high-signal data. The curriculum outlines a step-by-step process for building these workflows, focusing on how automated research can reduce the manual burden of identifying emerging startups and skincare innovations. This technical foundation allows for more efficient sourcing of investment leads and market intelligence. The second part of the course applies these automated research techniques to the history and future of telehealth aesthetics and digital skincare. It examines the business models of key startups from the last ten years, including Curology, Apostrophe, Hims & Hers, Musely, and Skin + Me. These companies proved the demand for remote prescription services and subscription-based models. The course analyzes how AI-native innovation currently transforms these established models by reducing friction in patient acquisition, diagnosis, and ongoing personalization. Learners will explore the shift toward an intelligent loop where AI agents manage the entire customer lifecycle, from initial identification of skin concerns to long-term treatment follow-ups and personalized care adjustments. This approach highlights the workflow advantages gained by combining telehealth distribution with agent-based personalization.