I Deployed 6 AI Systems Live — Here's What Actually Broke

I Deployed 6 AI Systems Live — Here's What Actually Broke

A few weeks ago I wrote about the 5 bugs that cost me 60+ hours building 49 AI systems. Every one of those bugs lived inside the code itself wrong array layout, a renamed model class, a serialization mismatch.

This article is the second half of that story, and it taught me something more uncomfortable: code that runs perfectly on your machine can fail completely the moment it leaves your machine for reasons that have nothing to do with your code.

I took 6 of my pinned GitHub projects and deployed every one of them live on Streamlit Cloud. Locally, all 6 worked without a single error. Deploying them surfaced 5 failures I had never seen before, none of which were bugs in my logic.

Here they are, in the order I hit them.