🎙️ This week on How I AI: Claude Code for product managers

This case study explores how Teresa Torres, author of "Continuous Discovery Habits," leverages Claude Code to create a comprehensive productivity system that addresses common workflow friction points for product managers. The primary challenge she tackled was eliminating the overhead and inefficiencies of traditional task management tools, research processes, and writing workflows that often prevent PMs from maintaining consistent productivity habits.

Torres developed a markdown-based system using Claude Code that automates research, manages tasks, and improves writing through lightweight workflows. Her approach centers on creating granular context libraries—small, focused files that help Claude understand her specific needs and preferences. She uses an index file strategy where Claude automatically loads relevant context based on the type of request, and maintains a "lazy prompting" system that reduces the cognitive load of interacting with AI. The system automates academic research she never had time for and serves as a personal search engine across her knowledge base.

Key outcomes include dramatically reduced friction in daily workflows—eliminating multiple clicks, browser tabs, and GUI navigation—while maintaining high-quality outputs. For product managers, the critical takeaways include: prioritize speed and friction reduction over feature richness in productivity systems; organize AI context strategically rather than dumping everything into one file; use AI as a reviewer and research partner rather than a replacement for critical thinking; and apply the "automation vs. augmentation" framework to decide when AI should handle tasks versus assist with them.