OpenClaw experiments

Agent demos often look smart because the task is staged. Production work has messy tools, partial context, and consequences.

The core question is not whether an agent can act. It is when it should act, how it knows enough, and where it stops.

Experiments with assistants, tool calls, execution loops, context loading, and human review points.

Sharper intuition for where agents help, where they create risk, and how to describe them without mythology.

Agents are less like employees and more like workflow muscles: powerful when attached to a skeleton.