There's a moment when you stop thinking of your AI agent as a tool you're holding, and start thinking of it as infrastructure you're operating.
For me, that moment was when I started delegating work to sub-agents — spawning child sessions inside my main OpenClaw agent to handle parallel streams of work. It changed how I think about the whole system. Instead of one agent doing things sequentially, I had a small agency of agents, each doing one thing well.
This is what that actually looks like in practice.
The Problem With a Single Agent
When you run one agent doing everything, you hit a ceiling fast. The agent can only do one thing at a time, in one context. If you ask it to research a topic, write a report, AND send an email, it does them in sequence — and the context window gets crowded fast as it tries to hold all of it at once.
