I spent 5 years at OpenAI (2016-2021) during the foundation of modern AI, followed by 3 years as Head of AI - Product Experience at Spotify, where I led teams building AI systems that served 500M+ users. I wasn't just using AI tools. I was in the rooms where architectural decisions were made about how humans and AI systems should interact at scale. That experience taught me something critical: the professionals who thrive in the AI era aren't the ones with the most tools, they're the ones who understand system architecture. After leaving Spotify, I transitioned to independent consulting and immediately hit the same wall my clients now face: tool chaos. I was paying $847/month across 15+ AI subscriptions, constantly context-switching, and seeing diminishing returns. So I applied the same systems thinking I used building products at OpenAI and Spotify to my own productivity stack. The result was the MAO Framework. A methodology that helped me consolidate to 6 core tools while tripling output. Since then, I've helped dozens of professionals (from Microsoft PMs to JPMorgan strategists) escape tool overwhelm and build AI productivity systems that compound rather than just consume budget. I teach what I've built, tested, and proven in my own consulting practice.