A lot of businesses are still treating AI investment like a software purchase. They look for it in new data centers, incremental model upgrades, or the sharp open claw of an agentic AI whose early security habits felt a little too much like a key under the flowerpot. Those returns will show up instead in the time, training, and support required to help employees learn to use these systems well and manage the ways they interact with the rest of the business.
One of my first paychecks came in the late 1990s. I was a teenager, and with programs a friend had written in Visual Basic 3, we pulled usernames from AOL chat rooms and flooded them with promises of cheap luxury watches and miracle supplements, all carried through the strange magic of copper phone lines. It was a rush of static, disbelief, and thrill when checks started arriving made out to fourteen-year-old me.
So when I encountered my first AI system four years ago, something in me recognized it immediately. I knew, almost instinctively, that my life was going to be filled with these strange reflections. I knew the right move was to spend as much time as I could learning how these systems worked, what made them tick, and how to make them useful. That part felt obvious to me from day one.
Four years later, that instinct has paid off. I now have a toolbelt full of skills that lets me produce results with leverage that would have required a much larger business apparatus not very long ago. This field is changing fast, and the companies that move now will not just be more prepared for what is coming — they will be in a much better position to benefit from it.
Continue readingFM Goals is a domain-agnostic workflow automation platform built through disciplined AI-human collaboration. It transforms messy, unstructured business processes into structured, stateful, reviewable execution — starting with email intake, inquiry classification, and intelligent response generation for industrial supply chain operations.
The system currently handles email triage, variable extraction, missing-information detection, draft response generation, shipping logistics, and human review checkpoints — with a blueprint-driven architecture designed to extend to any business domain.
Built on evenings and weekends by one person managing multiple AI agents, FM Goals is both a product and a proof of concept for the thesis at the heart of this site: that managing artificial intelligence effectively is an emerging business skill with extraordinary leverage.
Interested in AI workflow automation, multi-agent collaboration, or how small businesses can leverage these tools? I'd welcome the conversation.