# How I use Claude Code as my own bot: a crew of AI assistants in the terminal

> I use Claude Code to run a crew of AI assistants in my terminal. Each role has specific jobs and voices to help with complex tasks and planning.

- URL: https://hyperfocusam.com/blog/claude-code-ai-assistant-crew/
- Language: en
- Author: Sam Wong (黃力桐), https://hyperfocusam.com/
- 中文版: https://hyperfocusam.com/blog/claude-code-ai-assistant-crew-tc/ (Markdown: https://hyperfocusam.com/blog/claude-code-ai-assistant-crew-tc/index.md)
- Published: 2026-11-01; revised 2026-11-01

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**Short answer:** Grok Bot runs my daily briefing in the cloud. My other "bot" runs on my Mac: [Claude Code](https://code.claude.com/docs/en/overview), Anthropic's AI agent that works in the terminal, set up as a crew of assistants, each with its own role. They read my real files and calendar, argue from their roles, then do the work. Nothing leaves without my yes.

## What I mean by a crew
- Three assistants, each with one job:
    - A Chief of Staff, who oversees the others and makes the call.
    - An Executive Assistant, who executes across my work and chases follow-ups.
    - A Personal Assistant, who looks after my personal life only.
- Other crews can join when the topic needs them. A Speaking Coach from my coaching crew joins when a talk is involved.
- Each role is written down once: its job, what it never does, how it speaks. Claude Code loads that when I call the crew. (Skills are explained in my [Projects, Skills and Agents post](https://hyperfocusam.com/blog/claude-projects-skills-agents/).)
- Each role has its own voice. I select a role's text and my Mac reads it aloud in a different voice for each role, so it sounds like a meeting, not a wall of text.

## One evening with the crew
- On the night of 31 October I brought the crew a personal question: is my professional presence holding back my earnings?
- In scope: how I dress, how I speak on stage, and a regular training routine.
- They argued from their roles. The Executive Assistant pushed to act this week. The Personal Assistant guarded my personal time. The Chief of Staff weighed both and decided.
- Then they did the work, not just the talk:
    1. Read my real calendar and placed two weeks of training blocks around the meetings and talks already in it.
    2. Added speaking practice sessions that rehearse the talks I am actually giving next.
    3. Sent a research agent off to build a clothing shortlist, every item with a source and a price checked live, while our conversation carried on.
- Nothing was booked, bought or sent. I got proposals I could say yes or no to.

## The four rules that make it safe
1. Nothing is sent, bought or published without my yes.
2. Every fact has a source. If a role cannot point to one, it says so.
3. One memory, shared with everything else. The crew reads the same notes as the rest of my AI system, so I never explain myself twice.
4. A short state log at the end. The crew writes down where we stopped, so the next session picks up from there.

## Why a crew here, and one bot in Grok Bot
- My [Grok Bot lesson](https://hyperfocusam.com/blog/grok-bot-one-bot-daily-briefing/) was: one agent, one output. That is for a daily routine.
- A decision is different. A few roles that disagree show me the trade-offs before I choose.
- The difference that matters: the crew only speaks when I open it. It never pings me.

## How to start your own crew
1. Write one short role description per assistant: its job, what it never does, how it speaks.
2. Give them one shared notes file to read and update.
3. Bring a question you have been avoiding.
4. Ask for actions with sources, not advice.
5. Keep the final yes for yourself.

## FAQ
### Do I need to know how to code?
No. The roles are plain-language instructions. Claude Code runs in the terminal, but I talk to it in sentences.
### Can the crew act on its own?
It reads, plans and prepares. Anything that sends, buys or publishes waits for my yes.
### Why give each assistant a different voice?
Hearing the roles in different voices helps me follow who is arguing for what, without reading long blocks of text.

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*Sam Wong (黃力桐) is a Hong Kong AI adoption trainer who has trained 11,000+ people.*