8 AI Employees: Building a One-Person Company's AI Operations Matrix
This post is currently available in Chinese only. Read in Chinese →
At 9am I open Telegram and find 8 AI assistants have already filed their morning reports. The legal advisor flagged a tax update. The tech scout found a no-code $2K/month case study. The iOS assistant prepared lesson materials. The content assistant wrote 6 draft articles to Notion.
All running on OpenClaw — an open-source AI agent framework with 100K+ GitHub stars.
The Team
8 OpenClaw instances, each with a defined role:
- 小O (Xiao O) — Personal assistant for daily tasks
- 小海 (Xiao Hai) — Overseas market research
- 小C (Xiao C) — Content operations
- 小龙 (Xiao Long) — Creative exploration & community management
- 小团 (Xiao Tuan) — Team coordination
- 小果 (Xiao Guo) — iOS development assistant
- 小法 (Xiao Fa) — Legal advisor
- 小黑 (Xiao Hei) — Black tech intelligence
8 processes fully isolated. One crashes, others keep running. Total memory: ~3GB on a 64GB machine (5%).
15 Practical Tips
See the Chinese version for the full 15-tip guide, including:
- Create a bot in 30 seconds (down from 20 minutes)
- Telegram group auto-moderation
- Browser control for web scraping
- Content pipeline: trending topics → drafts → Notion → publish
- Notion multi-database integration
- R2 image hosting + auto-illustration
- Cron job matrix (3am backup, 10am push, 10pm daily report)
- Two-layer memory system (MEMORY.md + daily logs)
- Recovery documentation
- Rolling updates strategy
- Multi-model cost savings (Claude for thinking, Codex for free tasks)
- Brave Search (2000 free searches/month)
- Semi-automated Twitter posting
- 13+ platform support
- AI that builds AI
Cost
OpenClaw: free. Codex: free. Brave Search: free. R2: free.
Main cost: AI model API fees. With AIGoCode relay + free credits, monthly cost under $10. Roughly $100/month for 8 AI employees working 24/7.
Quick Start
npm install -g openclaw && openclaw onboard
Get an API key from aigocode.com, create a Telegram bot via @BotFather, and you're running.
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