Two voices arguing inside a model — a beginner-friendly debugging story
Mailwoman is an open-source address parser that runs in Node and the browser. It uses a small neural model to label address components ("350" = house number, "NY" = region, etc.). Try the live demo.
This post is a beginner-friendly debugging story — no ML background needed. If you just want the project status, see what ships today.
This is the third post in a series about a training problem we've been chasing. The first two were written for software engineers. This one is for someone who is just starting to learn about AI and machine learning — no jargon assumed, no math beyond high-school algebra. The point is to show you what real ML debugging looks like, using a problem we actually had this week.
If you've been programming for a while but ML feels opaque, this post is for you. The core technique we used — figuring out which of two instructions our model was listening to — turns out to be much more like ordinary debugging than the field usually makes it sound.