Claude Code as an AI Agent: How My Chief of Staff Runs While I Sleep

Most people meet Claude Code and assume it’s not for them. It says “code” right in the name.

I made the same assumption, until I realized what it really is: an agent that can read instructions, use tools, check its own work and keep going. Coding is one job it does well. Running the operating layer of a business is another.

Today, Claude Code as an AI agent is the engine under my AI chief of staff. This page walks you through how that works, in words you can take to a technical helper without getting lost.

What Claude Code is, in one paragraph

As of October 2026, Claude Code is Anthropic’s agentic tool. It supports skills, subagents, hooks, MCP connections to tools, headless mode for scripts, and routines for scheduled or event-triggered cloud tasks. Put those together and you have the parts of a working employee: a job description, specialist help, rules, access to systems and a schedule. The Claude agent overview compares it with the other ways to build on Claude.

How my AI chief of staff is set up

Here’s the shape of my setup. No secrets, no code, just the design.

A dedicated machine

My chief of staff runs headless on a Mac mini that does nothing else. It’s not my laptop. That separation matters: the agent’s access, logins and work live in one place I can lock down, watch and switch off.

Standing instructions

Every agent needs a job description it reads before it does anything. Mine covers who I am, what the businesses are, how I want things done, what the agent may never do, and when to stop and ask. Think of it as the onboarding packet you’d give a new chief of staff on day one.

Skills for the repeatable jobs

A skill is a folder of instructions the agent loads only when a job calls for it. The morning brief, chasing leads and SEO updates each live in their own folder. The agent doesn’t carry every process in its head all the time; it pulls the right one when the work shows up. More on that in Claude skills.

MCP connections to my tools

MCP, the Model Context Protocol, is an open standard for connecting AI agents to tools and data. Anthropic created it and donated it to the Agentic AI Foundation under the Linux Foundation. My agent reaches email, calendar, the CRM, spreadsheets and other systems through connections like these. I explain the standard on what MCP is.

Subagents for specialists

Subagents are specialists with their own tools. Instead of one agent doing everything, the chief of staff can hand a focused piece of work to a specialist that only has what that work needs. This is how I’m growing toward delegated agents for acquisitions, finance, tech development, content and social.

Hooks as guardrails

Hooks fire at set points in the agent’s lifecycle. You use them to enforce rules that shouldn’t depend on the agent remembering: check before this kind of action, log after that one, block something outright. Instructions ask nicely. Hooks enforce.

Headless runs and routines

Headless mode lets a script or schedule start the agent with no one at the keyboard. That’s how much of my operations work happens overnight: the inbox gets triaged, old leads get pulled, the CRM gets cleaned, and a briefing is waiting in the morning. Routines are the cloud-scheduled version, useful when you’d rather not keep a machine running.

A second brain behind it all

The agent reads from my second brain, a knowledge base in Obsidian with Google Drive behind it. Processes, context and standing decisions sit there, so a correction made in one spot reaches every job that depends on it.

Permissions: the part you can’t skip

An agent running unattended is only as safe as its access. Before anything runs headless, decide:

One more line in that checklist if outreach is involved: a headless agent that phones or texts people is regulated. The FCC said in February 2024 that AI voices fall under the TCPA’s artificial-voice rules. Add business-texting consent, A2P 10DLC registration, Do Not Call and clear AI disclosure, and have counsel sign off before it runs.

When Claude Code is the right path, and when it isn’t

Use Claude Code when you want an internal agent running your operations, you can dedicate a machine or use cloud routines, and you have someone technical for setup.

Look elsewhere when the agent has to live inside your own product or customer-facing app. That’s Claude Agent SDK territory. And if you’d rather not run a machine at all, look at Claude Managed Agents, in beta as of October 2026.

What to hand your technical helper

You don’t need to know the commands. You need to show up with:

1. The job — one recurring job, written as a process with a definition of done.
2. The tools — which systems it needs, and read-only versus read-and-write for each.
3. The schedule — when it runs, or what event starts it.
4. The rules — what it must never do, and what needs your approval.
5. The review loop — where you’ll read the logs and how often.

Point them to the official Claude Code docs for the setup specifics. Your job is the operations design. Theirs is the wiring.

Your next step

Pick the one job you’d want done before you wake up tomorrow. Write it as a process, list the tools it needs, and hand that page to your helper. If you want the whole chief-of-staff setup built with you around your real operations, see how Chief works. And if you’re still mapping the bigger idea, read the AI chief of staff first.