On maintaining and rebuilding critical relationships.

If you want to build a product that people will use, find something that people already do and make it less painful.

People look at the roadmap and their commitments, and success is about how much of those they actually shipped.

Products ship with the same AI panel; people hunt for the off switch, and spend has outrun returns. Build features with AI, not AI features.

Building a site has never been cheaper, but making it fast still costs attention and your user’s resources.

Established products have a problem. They assume they’re the center of someone’s universe, and everything should feed through them.

Lessons from four years of building AI products at PostHog.

What changes when a tool doesn’t have to pay for itself.

Google’s AI-era products keep breaking an old trust contract with users, and the model isn’t the reason.

Thoughts on how to DIY sustainably.

A self certification process with a somewhat official blessing.

Ask a team what they shipped this year and you’ll get a list. Ask what they killed and the room goes quiet.

AI has made code, tests, policy, documentation, and organisational machinery almost free to produce. It has not made any of them free to own.

Where quality lives, and how companies drain it from your products without a metric moving.

Customers still like your product and keep renewing. Meanwhile, their expectations may be changing in ways your usual signals won’t reveal.

Why software built for one is no longer an escape from scale, but its new starting point.

Don’t build into dead ends: anticipate what happens next.

Anthropic’s stage-by-stage playbook for the AI-native SDLC: how teams plan, design, build, test, deploy, and maintain software with Claude.

Latent flaws, hindsight bias, and operator adaptation. Offering product teams a framework for system safety.

Predicting which product decisions will succeed based on patterns learned through experimentation — and knowing when those patterns apply.