The Four-Layer Model: A PM's Framework for AI Product Quality
A structured framework for understanding and diagnosing AI product failures. Learn the four layers of technical literacy PMs need, and how real incidents cross all of them at once.
#AI.
7 posts
EU AI Act Compliance Is Already Breaking Startups: What PMs Need to Know
The EU AI Act is not a future concern. It is actively reshaping products today. But treating compliance as a burden misses the point. The best Product Managers will treat it the same way they treat any product constraint: as a forcing function for better decisions.
Agentic Engineering vs Vibe Coding: A Product Manager's Guide to Knowing the Difference
Agentic engineering is about to give Product Managers superpowers we never had before. Vibe coding has its place too, but only if we are honest about what it is and what it is not.
The Great PM Skills Debate: What AI Won't Replace
Everyone agrees AI is transforming product management. Nobody agrees on which skills survive. The debate over strategy, taste, and the 'editing function' reveals a profession in the middle of an identity crisis.
AI Will Supercharge Your Value Stream, But Only If You Fix Your Architecture First
We often talk about AI writing code, but its real power lies in managing the flow of value. The catch? You can't apply a Ferrari engine to a horse-drawn cart. Here is why organisations must restructure to unlock the AI advantage.
A Product Management Manifesto for the AI Era
Agile won the war on delivery, but we are losing the peace on value. It is time for a new set of values that prioritises outcomes over outputs and learning over logistics.
Product Management at the AI Turning Point: Why the Next Age Demands a New Role
AI is reshaping not just the products we build but the very nature of work itself. For Product Managers, this turning point demands a shift in mindset, moving beyond execution to strategy, ethics, and orchestration.