Building an Agentic Personal Trainer - Part 9: Lessons Learned
Nine posts later, what actually worked? What would I do differently? Here's my retrospective.
Building an Agentic Personal Trainer - Part 8: Testing and Debugging Agents
How do you test an AI agent? Unit tests don't cover "it gave bad advice." Verbose mode became my best debugging tool—watching the agent think out loud.
Building an Agentic Personal Trainer - Part 2: The Tool System
An LLM without tools is just a chatbot. To make a real coaching agent, I needed to give it hands—ways to check injuries, recall workouts, and manage schedules.
Building an Agentic Personal Trainer - Part 1: Architecture and Philosophy
After building an [autonomous stock trading system](https://www.mosaicmeshai.com/blog/building-an-mcp-agentic-stock-trading-system-part-1-the-architecture) with custom MCP servers, I wanted something different: a conversational AI that collaborates rather than executes. Something that asks "how are you feeling?" before suggesting a workout.