Insights
Notes on trust, adoption, and the behavior of AI users.
- Trust · Coming soon
Why users abandon AI features after one bad answer
A single confidently wrong answer costs more adoption than ten quiet failures. Here is why, and what to design instead.
- Reliance · Coming soon
The over-trust problem nobody budgets for
When users trust an assistant too much, the errors it does make land squarely on your customer. Calibrated reliance, and how to design for it.
- Regulation · Coming soon
What the EU AI Act means for your product's design choices
Manipulative and deceptive patterns are now an enforcement matter in Europe. A plain-language read on what changes for product teams.