Designing with AI
AI features people actually adopt — authoring, prediction, and agents designed as experiences, not demos.
Case studies
Where AI test authoring should land first
Everyone is building AI that writes web tests; the crowded direction is probably the wrong first move. This note holds the thesis that mobile app testing — where authoring expertise is scarcest and tooling competition thinnest — is where AI test authoring earns its keep first.
Trusting a model with your test suite
Teams with hour-long test suites don't need faster machines — they need to run fewer, smarter tests. I'm designing BrowserStack's exploration of predictive test selection and orchestration: the design problem isn't the ML, it's persuading an engineer to let a confidence curve decide what doesn't run before their release ships.