The AI bottleneck has shifted and most people haven't caught up yet

The tooling is abstracting faster than people's mental models are updating. Spent some time with a few agent builders recently and what keeps standing out is how much previously manual orchestration is basically configuration now. Memory, tool calling, browser actions, structured outputs, workflow routing. You used to build this stuff manually. Now you're mostly wiring it together. Which makes "can this be built?" a much less interesting question for a lot of use cases. The harder problems now feel operational. Reliability. Recovery when an agent drifts mid-workflow. Context management across longer runs. Controlling behavior without supervising every step. Tried a few tools lately like Lyzr Architect, zapier and the shift becomes pretty obvious pretty quickly. The bottleneck doesn't really feel like capability anymore. It feels more like trust. Can these systems actually stay reliable enough that people stop treating them like fragile demos? Curious what kinds of agents people would genuinely build if reliability became genuinely solid instead of just "mostly works."