In my last post, How I Review Technical Docs with AI, I mentioned in passing that before bringing Codex into the workflow, I had already built a small local AI system for catching typos, terminology mistakes, basic awkward sentences, and the occasional formatting glitch.
It was a one-line aside, but a few readers wrote in asking for more. So this post zooms in on that piece: why a local AI content review system is worth building in the first place, how it differs from just calling a hosted LLM, and what it takes to go from a working demo to something a team will actually open every day.