AI features fail when they are treated as theatre
Useful AI integration starts with workflow, decision quality, data boundaries and failure handling — not with a model announcement.
Insights
Notes on AI, product pressure and systems that ship.
Short field notes on the recurring patterns behind high-stakes technology work: where AI creates value, where product promises become delivery risk, and where systems need to survive contact with the real world.
The strategic customer requirement that breaks the roadmap
How to turn urgent enterprise asks into product decisions without promising an unbuildable one-off.
Why edge systems need product thinking
Firmware, protocols, supportability and human behaviour have to meet in one product if the system is going to survive deployment.
Have one of these problems now?
Bring the real constraint, not the polished brief.
Field notes are useful, but the fastest way forward is usually a direct review of the pressure, system boundaries and decision deadline.