Colin Matthews. Founder of PM AI Academy with a focus on training product managers to integrate AI tools into daily workflows. Reports having worked with PMs at companies including OpenAI, Google, Stripe, Figma, and Microsoft, and having trained over 30,000 PMs on AI adoption. His work focuses on frameworks for scaling PM output through structured use of agents, MCP connectors, and agentic coding tools.
Operating themes
- Three-ladder framework A model for PM AI adoption organized as personal output, product shipping, and repeatable systems, each with ascending rungs that deliver compounding output gains.
- PM-as-builder Framing PMs as direct builders using code agents and prototype repos rather than coordinators handing off to engineers.
- MCP connector strategy Connecting LLMs to live data systems (analytics, ticketing, design tools) to close the loop between insight and action without leaving the AI environment.