Statuspy

AI Tools Status

Everything is up.

23up
23 AI tools monitoredlast check

AI tools fail differently from ordinary web apps, and the difference matters when you are trying to work out whether the problem is yours. The editor, the chat window, or the app shell is usually served from normal web infrastructure and stays up, while the model behind it runs on separate, capacity-constrained hardware. So the interface loads, you type, and nothing comes back. That is why an AI tool can feel completely broken while every status page involved still reports green.

Capacity is the usual culprit rather than a hard outage. When demand spikes, requests queue, time to first token climbs, and providers shed load by returning rate-limit or server-busy errors. A provider may also degrade one model family while the rest answer normally, so the same product can be broken for one task and fine for another.

We check the endpoint each tool actually depends on, which for several of them means an unauthenticated API path rather than the marketing site. A few block automated requests outright, and for those we report unverifiable and lean on the vendor's own status page rather than guessing.

Common questions about AI tools

The interface and the model run on different infrastructure. A status page usually tracks the platform, and a model that is out of capacity returns errors or queues requests without the platform ever going down. Vendors also tend to post an incident only once it is widespread, so a short capacity squeeze often never appears at all.

All services