In this episode hosts Philip Maymin and Jie Tao, DSc explore the next evolution of Health Buddy, an AI tool built to help users navigate complex medical information safely and reliably. Jie explains how version 2 introduces a self-healing architecture. One that can recover from failure, rebuild workflows, and adapt through “editor-in-chief” and “planner” agents working together. He discusses what it takes to balance autonomy, ethics, and control, and how a thoughtful “trust layer” protects users from harmful or misleading content. Listeners gain insight into the practical difference between simple workflows and fully agentic systems and why reliability and resilience matter most.

Learn more about Fairfield Dolan's AI and Technology Institute.

In this episode Jie Tao, DSc shares the story behind building Health Buddy, an AI-powered assistant designed to help people make sense of complex medical information. What began as a personal late-night search for answers evolved into a sophisticated multi-agent system built entirely by one developer with the help of AI. Jie breaks down the design process, from automating research and review to introducing “human-in-the-loop” feedback and testing. He reflects on the challenges of hallucination, reliability, and the moral weight of creating tools that could impact real lives. This conversation offers a candid look at how curiosity, iteration, and ethics drive responsible AI innovation.

Learn more about Fairfield Dolan's AI and Technology Institute.

Go from being an AI user to an AI architect. This episode provides the blueprint for automation, teaching you how to use "Context Engineering" to make your AI a specialist and when to choose a simple workflow versus a powerful agentic system.

Learn more about Fairfield Dolan's AI and Technology Institute.