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.
19 posts
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.
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 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.
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.
Why forcing yourself to articulate your thinking is the most underrated skill in your career. From rubber duck debugging to publishing online, the mechanism is the same: saying it out loud makes the thinking better.
Product sense isn't a mystical gift some people are born with. It's a learnable skill built through deliberate practice, user exposure, and reflection. Here's how to develop it.
A deep dive into building an Ai Assistant, the move from rigid automation to fluid agency, and the hard lessons learned about token economics and security.
It is easy to dismiss modern product theory as 'out of touch' when you are drowning in bureaucracy. But giving up on the ideal isn't the answer, strategic realism is. Here is how to play the long game without losing your mind.
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.
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.
Agile does not remove the need for governance. It changes how governance works so that it supports the flow of value, and must be tailored to each organisation rather than copied from traditional project management.
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.
How Product leaders can scale Agile organisations thoughtfully, leveraging frameworks like SAFe, Flow, and the Product Operating Model without losing Agile's core principles.
How our obsession with certainty is undermining our ability to innovate, and what we should do instead.
Exploring how strong security practices and transparent data governance not only protect users but also build trust, enhance engagement, and create a better overall user experience.
How modern product teams can move beyond traditional requirement processes and embrace Agile, empirical, and iterative approaches for greater success.
An in-depth review of Donald Reinertsen’s masterwork and why it’s essential reading for serious product managers.
A deep dive into why most Agile implementations miss the point, how focusing on velocity over value undermines true agility, and what it really takes to embrace uncertainty and deliver meaningful outcomes.
Why great Product Managers know when to trust their intuition—especially when data is incomplete, unavailable, or unable to guide breakthrough innovation.