I’ve been running an experiment. Frank is an AI agent running via OpenClaw in a container, on a dedicated Fedora laptop sitting on my desk. While this started as an experiment, the use case was real: Could I enable Frank to be a true digital assistant for my photography business, Trail Nutz Media? When we talk about AI use cases, we often forget a core truth: AI is successful only when we have people who have actually done the job, who recognize when the job is done well, and who understand when it has gone sideways.

Note: I originally shared this experiment on LinkedIn, but I am archiving the “Frank” journey here as we build out Enterprise-Grade AI use cases I just met Frank. He works for about $5 a day in tokens. He doesn’t need a desk, he doesn’t take lunch, and he puts out the same volume of work as some full-time employees. (Before you come for me: that says more about the “roles” we’ve created than it does about the tech).