Module 1: The Mental ModelLesson 2 of 5

The CEO/COO/Team Analogy

The CEO/COO/Team Analogy

The best way to understand multi-agent systems is to think about how companies work.

You Are The CEO

As the human, you're the CEO. You:

  • Set the vision and goals
  • Make high-level decisions
  • Approve important actions
  • Review results

You don't do the work yourself. You delegate.

Your Main Agent Is The COO

Your primary OpenClaw agent is like a Chief Operating Officer:

  • Understands your goals (reads SOUL.md, USER.md)
  • Manages day-to-day operations
  • Coordinates the team
  • Reports important things to you
  • Handles routine decisions autonomously

The COO doesn't need to ask you about every email. They know your preferences. They use judgment. They escalate when needed.

Sub-Agents Are The Team

When work needs to be done, the COO delegates to specialists:

Sub-AgentRoleLike...
ResearcherGathers information, analyzes dataAnalyst
ExecutorRuns tasks, deploys code, takes actionEngineer
WriterCreates content, drafts communicationsMarketing
MonitorWatches for changes, alerts on issuesOperations

These workers:

  • Get specific tasks from the COO
  • Have focused capabilities
  • Report back when done
  • Don't need to know everything

Memory Is The Shared Notebook

In a real company, knowledge lives in:

  • Meeting notes
  • Project docs
  • Wikis
  • Shared drives

For agents, memory is the same thing:

  • MEMORY.md = Executive summary / index
  • memory/daily/ = Meeting notes
  • memory/projects/ = Project documentation
  • memory/people/ = Contact database
  • memory/knowledge/ = Playbooks and lessons

Everyone can access what they need. The COO maintains the index.

Tools Are The Interns

Sometimes you don't need thinking — you need doing:

  • Fetch this web page
  • Run this command
  • Check this price
  • Send this message

These are tools, not agents. They don't reason. They execute.

Rule of thumb:

  • Needs precision → Use a tool
  • Needs judgment → Use an agent

Why This Matters

When you understand this hierarchy, you stop trying to make one mega-agent do everything.

Bad: "I'll make my agent super smart and give it every tool!" Good: "I'll make a coordinator that delegates to specialists."

The coordinator stays light. Sub-agents stay focused. Tools stay simple.

This is how you build systems that scale.