Occasional, practical writing on what actually works when you take AI systems from prototype to production.
Agents are a fit for a narrower set of problems than the hype suggests. A practical framework for deciding.
The failure modes that don't show up in a demo — and the checks that catch them before your users do.
The technical part of automation is rarely the hard part. Here's what actually determines adoption.