The trust gap: why users abandon accurate AI
A pattern we keep seeing: AI features get abandoned not because they're wrong, but because users can't tell when they're right. Notes on the trust gap and how design closes it.
6 min read →Product judgment is the new moat
As models commoditize, the defensible edge moves from the technology to the decisions around it. Notes on why product judgment — not the model — is becoming the moat.
6 min read →AI-as-a-tab is a dead end
The bolt-on chatbot ships fast and demos well, then goes unused. A note on why AI belongs in the flow of the work — and what changes when you move it there.
5 min read →The core loop is the product
Every product that works has one loop users return to. A note on why naming it is the highest-leverage decision in an AI MVP — and why skipping it is why builds stall.
5 min read →The vitamin trap: AI makes weak ideas cheaper to build
AI lowered the cost of building, which means more products get built that nobody needed. A note on painkillers, vitamins, and why demand is the only test that matters.
5 min read →