ig nobody is talking about the real reason most AI agents fail in the real world

We spend a lot of time in this community talking about capabilities. context windows, reasoning benchmarks, multi-step tool use, how well a model can write code or pass a bar exam. i'm not dismissing any of that. capabilities matter. but when i look at AI products failing in production, the capability of the model is almost never the issue. ive been building and consulting on AI agents for about 18 months. the failure modes i see constantly are: users do not go where the agent lives. the agent has a beautiful web interface. the user visits it twice and stops.