Clear thinking on AI, smart glasses and the work in between.
Practical, honest writing on how vision AI actually changes operations — what works, what doesn't, and how to tell the difference. No hype, no invented numbers.
Why hands-free capture changes field work more than any app ever did.
Field technicians have been given phones, tablets and apps for years. The problem was never the software — it was that documentation needs a free hand the job already took.
Computer vision won't replace your inspector. It will make them consistent.
The promise of automated inspection isn't removing the expert — it's making sure the same standard is applied on the hundredth check as on the first.
Recording the workplace is easy. Doing it responsibly is the hard part.
Voice and video AI raise real privacy questions. Ducking them loses enterprise deals; answering them honestly is what earns the rollout.
The ROI of automation hides in the work nobody puts on a timesheet.
The savings that matter are rarely the headline ones. They're the twenty-minute write-ups, the clarifying calls, and the quotes that went out a week late.
Most AI pilots fail before they start — in how they were scoped.
A pilot that tries to prove everything proves nothing. The ones that succeed pick a single painful process and measure it honestly.
The most important feature in an AI system is the off switch a human holds.
Autonomy is oversold. In real operations, the systems people trust are the ones where a person stays accountable for every consequential output.
Field notes: what actually happens when the glasses go on for real.
Honest observations from real deployments — including the things that surprised us and the ones that didn't work the first time.