Insights
Research, practice and field notes on designing products that people and agents both have to get through.
For how we build Stunt Double, read Backstage.
Cursor AI: what it ships and what it misses
Cursor is the default AI-native IDE in 2026, shipping 41% of global code. But adoption and trust are moving in opposite directions. Here is what the numbers say.
What conversational AI actually does to your website
Conversational AI has moved past the chatbot. In 2026, agents act on your product without a user present, and most websites are not built for that. Here is what is changing, and what breaks first.
The product life cycle in 2026: what AI changes at every stage
The four-stage product life cycle still holds. What has changed is everything that happens inside each stage: who is using the product, how fast the stages compress, and why experience decay after launch goes unmeasured.
What flow AI is, and why product teams need to test for it
AI agents are already navigating your product, completing tasks, and abandoning flows. This is what flow AI means, why it matters now, and what product teams need to do about it.
Cursor ships the product. Then what?
Cursor has doubled coding speed and ships full production apps in weeks. But 42% of committed code is AI-generated and most of it goes unverified. Here is what that means for the product your users actually encounter.
What an AI generator does when it visits your product
AI generators are no longer just tools you deploy. They are visitors your product receives. Here is what that means for product, design, and growth teams building in 2026.
What Meta AI actually does to your website
Meta's AI systems made over 150 optimisation decisions today on campaigns pointing at someone's landing page. The person who owns that page almost certainly does not know.
What an AI agent actually does to your product
An agent abandoned checkout because a tooltip blocked the button. No error was thrown. No one knew. Here is what AI agents are, how they move through products, and why most teams are not ready for them.
Two things called AI detector (and why one matters more in 2026)
Most people searching 'AI detector' want to check text. But there is a second kind of AI detector that product teams are only just discovering: one that tells you whether AI agents can actually use your product.