"Running LLM automation unattended for months: what actually breaks"
An LLM automation that works in week one will find new ways to fail by month three. Here is what actually broke when I ran one unattended for months — from provider outages that arrive in bursts to a model that changed personality underneath me — and the small set of guards that earned their keep.

If you have an LLM feature in production, you have probably lived through the week where it quietly degraded and nobody noticed until a customer did. The demo was fine. The first month was fine. Then something shifted — the provider, the model, the inputs — and the thing that "just worked" started producing garbage with complete confidence. This post is a field report from the other side of that week.
Have an AI feature stuck between demo and production?
The gap — reliability, evals, cost control, the plumbing that keeps it running unattended — is exactly the work I do. If that sounds familiar, a short conversation is usually enough to point you the right way.
Book a free consultation