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 …
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 …
How to Run Fast, Safe AI Experiments — A Playbook for Product Leaders
Many product teams rush to build with AI because it is available, not because they understand what problem it actually solves. The result is neat demos, noisy Slack channels, and — sometimes — …
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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, …
When AI Becomes the Platform: How Product Leaders Should Decide Between Feature, Product or Platform
AI is no longer a novelty to bolt onto a product. The technology is asking organisations an uncomfortable strategic question: should AI be a feature, a standalone product, or the platform that powers …
How Product Leaders Stop Platforms from Rotting: A Practical Playbook Against Enshittification
Intro — why once-great products feel broken Why do once-great platforms start to feel broken? One moment a marketplace or social app delights customers; the next it’s slow, crowded with ads, and …