I gave a talk at my company’s ten year expo this week and wanted to share the recording here. It's a high-level look at some of the ways we're putting AI to work in an automation manufacturer, and I got a lot of nice compliments from folks afterward. I walk through three levels, and each one gives the agent more context than the last. The first is a quote auditor that runs on a checklist. It reviews a 200-line vendor quote against our drawings and order summary and hands back the five lines that actually need my attention. The second is a panel generator that runs on an engineer's rulebook. It turns a pile of components and about a hundred layout rules into a draft electrical panel, taking a job that could eat days down to as little as 15 minutes. The third is a portfolio assistant that runs on the whole company. It sits in on every meeting through a transcription app we built ourselves, so nothing leaves the building, and it connects what it hears across all our projects. That being said, the theme I think everyone here can take away has nothing to do with automation. It's not about the tools you use or keeping up with the latest model. Out of the box, these models give you average output. What makes them valuable is your expertise, written down and handed to an agent. The same message you see me trying to explain in all of my content, highlighted with real examples. Take a look and let me know what you think!