Codersarts Blog.

When your LLM provider goes down, every AI feature built on it goes down too, unless you've planned for it. Outages are only one problem: slowdowns, rate limits and model retirements can hurt just as much. Learn how a well-designed fallback chain keeps your AI product online, the design decisions that matter most, and how to prove it works before you need it.

It's 2 a.m. and your LLM provider starts failing. Within minutes, your AI support agent goes offline. Nothing was wrong with its logic, it just wasn't built for the moment its main dependency disappeared. Here are the nine ways AI agents most often fail after launch, why each happens, and the safeguards that keep them running when real users, real traffic and real providers put them to the test.