AI is the headline — and rightfully so. But speed in software rarely arrives from one magic feature. The more useful story, underscored by Nicole Forsgren and Abi Noda in their book Frictionless and …
Thinking in Cycles: How Product Leaders Use the Long View to Build Durable AI Products
Introduction Are you building for the next shiny model or for the customers who will still be using your product five years from now? The rush to ship AI features is intoxicating — new models, new …
Ethical Personalisation: A Product Leader’s Playbook for Trustworthy AI Experiences
Personalisation used to be a marketing trick. Now it is a product expectation — and a regulatory flashpoint. How do you build AI-driven personalised experiences that actually create business value …
Designing AI-First Product Teams for Education: Practical Lessons for Product Leaders
Introduction Can an AI tutor scale the subtle judgement of a human teacher? The short answer is: not yet—but product teams that treat AI as a change in how they organise and measure outcomes are …
How Product Leaders Stop Platforms from Turning on Their Users: A Practical Guide to Avoiding Enshittification
Have you noticed how once‑magical platforms slowly start to feel… worse? It’s not a coincidence. There’s a repeatable lifecycle where companies prioritise short‑term extraction over long‑term user …
The Long View: What Product Leaders Must Learn From Past Tech Cycles to Navigate the AI Hype
Why does every new wave of technology feel both inevitable and over-hyped? From the early Web to the two mobile revolutions, ecommerce booms and the dotcom bust, the pattern repeats: rapid promise, …