Post 3 in the AI Software House series.

In short: A pipeline that crashes halfway through loses all the AI work done so far. This post explains how the system saves progress after every stage so a failed run can resume exactly where it left off — never repeating work. It also covers how to route different projects to different GitHub repos from a single pipeline.

A pipeline that takes 8 minutes to run and crashes at minute 7 is worse than useless — it’s actively demoralising. The first real production problem I hit wasn’t model quality. It was reliability.

Full Article on Patreon: https://www.patreon.com/posts/never-lose-work-156531009