In July of ‘25 there I sat, combing through the specs I generated with GitHub Copilot. I was working a contract for a real estate estimation company, and they needed my tool to scale their operations. The idea was pretty simple: how do we take AI and generate estimation reports? Most inspection reports are 80-95% repetition. They only require about 20% of human intervention — the rest can be done by an intelligent LLM. ...
Tonight I orchestrated 4 AI agents working in parallel. They researched, compared, and updated documentation while I watched. It took about 60 seconds. This is the story of how that happened. The Setup I’ve been building what I call a Personal AI Infrastructure (inspired by Daniel Miessler’s work). The idea: instead of doing everything yourself, you build systems that extend your capabilities. AI as a force multiplier, not a replacement. The core of my system is Claude Code running in my terminal. No web UI. No copy-pasting. Just me talking to an AI that has access to my files, can run commands, and can spawn other AI agents. ...