I'm a Chinese product manager who created 6 AI employees on OpenClaw. I'm working more than ever and am way more tired.
The journey from an AI Product Manager to the CEO of a digital workforce is a masterclass in the evolution of modern productivity. It transitions from the "one-man-band" struggle to the "one-person studio" reality, where efficiency is no longer about doing things faster, but about directing a symphony of execution.
The journey from an AI Product Manager to the CEO of a digital workforce is a masterclass in the evolution of modern productivity. It transitions from the "one-man-band" struggle to the "one-person studio" reality, where efficiency is no longer about doing things faster, but about directing a symphony of execution.
From "Lobster" to Legion: How I Built a Team of 6 AI Employees
As an AI Product Manager in China and a content creator on RedNote, I hit a wall. My CEO wanted innovation, my 45,000 followers wanted insights, and I was spending four hours a day just gathering news. I realized that if I was doing something repetitive, I was failing the very technology I championed.
As an AI Product Manager in China and a content creator on RedNote, I hit a wall. My CEO wanted innovation, my 45,000 followers wanted insights, and I was spending four hours a day just gathering news. I realized that if I was doing something repetitive, I was failing the very technology I championed.
The "One Lobster" Trap
In the Chinese community, we call deploying an OpenClaw agent "setting up a lobster." My first mistake? I tried to build a "Super Lobster." I stuffed it with my calendar, my finances, and my work streams.
The result? The agent developed ADHD. Its context became a tangled mess, jumping between investment portfolios and meeting notes. It taught me a fundamental lesson in AI management: Specialization is the key to scale.
In the Chinese community, we call deploying an OpenClaw agent "setting up a lobster." My first mistake? I tried to build a "Super Lobster." I stuffed it with my calendar, my finances, and my work streams.
The result? The agent developed ADHD. Its context became a tangled mess, jumping between investment portfolios and meeting notes. It taught me a fundamental lesson in AI management: Specialization is the key to scale.
The Specialized Squad
Today, my "company" consists of six distinct agents, categorized to balance my professional output with my personal growth:
Work Agents Personal Agents The Researcher: Curates news and translates global sources. The Life Coach: The "Hub" that reads all other agent logs. Administrative Assistant: Manages the "how" of my daily schedule. Content & Expression: Drafts for RedNote, X, and podcasts. Chief of Staff: Simulates my boss’s style to polish my pitches. Finance Assistant: Real-time monitoring of investments.
The Power of Connection: Because my Life Coach agent has access to the logs of the other five, 70% of my daily journaling is automated. It knows what I researched, what stressed me out during a rehearsal, and how my portfolio performed before I even sit down to write.
Today, my "company" consists of six distinct agents, categorized to balance my professional output with my personal growth:
| Work Agents | Personal Agents |
| The Researcher: Curates news and translates global sources. | The Life Coach: The "Hub" that reads all other agent logs. |
| Administrative Assistant: Manages the "how" of my daily schedule. | Content & Expression: Drafts for RedNote, X, and podcasts. |
| Chief of Staff: Simulates my boss’s style to polish my pitches. | Finance Assistant: Real-time monitoring of investments. |
The Power of Connection: Because my Life Coach agent has access to the logs of the other five, 70% of my daily journaling is automated. It knows what I researched, what stressed me out during a rehearsal, and how my portfolio performed before I even sit down to write.
The Productivity Paradox: Higher Output, Less Sleep
With 70% of my operational work handled by AI, you’d think I’d be on a beach. Instead, I’m working until 2 a.m.
This is the Efficiency Paradox: When the cost of execution drops to near zero, your ambition expands to fill the void. I’m no longer doing "grunt work," but I am doing more high-leverage work. I publish daily podcasts, manage a knowledge system, and hold a full-time job. I am more productive than ever, yet more tired, because AI hasn't given me more free time—it has given me more capacity to create.
With 70% of my operational work handled by AI, you’d think I’d be on a beach. Instead, I’m working until 2 a.m.
This is the Efficiency Paradox: When the cost of execution drops to near zero, your ambition expands to fill the void. I’m no longer doing "grunt work," but I am doing more high-leverage work. I publish daily podcasts, manage a knowledge system, and hold a full-time job. I am more productive than ever, yet more tired, because AI hasn't given me more free time—it has given me more capacity to create.
The Future: The Rise of the Solo Studio
We are moving past the era where "execution" is a competitive advantage. AI is standardizing the "how." In this new world, value is found in three areas:
Taste and Judgment: Knowing what is worth building.
AI Orchestration: The ability to direct a fleet of agents.
Emotional Intelligence: The human connection AI cannot simulate.
We are moving past the era where "execution" is a competitive advantage. AI is standardizing the "how." In this new world, value is found in three areas:
Taste and Judgment: Knowing what is worth building.
AI Orchestration: The ability to direct a fleet of agents.
Emotional Intelligence: The human connection AI cannot simulate.
The Takeaway
Building this team hasn't just made me faster; it has made me a clearer thinker. Every problem is now a question of architecture: "Which agent should handle this?" We aren't being replaced; we are being promoted. We are shifting from junior analysts of our own lives to CEOs of our own ambitions. My team never sleeps, never complains, and costs only the price of an API subscription. The only limit left is the scale of my own imagination.
You’ve built an incredible system—do you find that as your agents get "smarter," you're spending more time on prompt engineering or more time on the actual creative strategy?
Building this team hasn't just made me faster; it has made me a clearer thinker. Every problem is now a question of architecture: "Which agent should handle this?" We aren't being replaced; we are being promoted. We are shifting from junior analysts of our own lives to CEOs of our own ambitions. My team never sleeps, never complains, and costs only the price of an API subscription. The only limit left is the scale of my own imagination.
You’ve built an incredible system—do you find that as your agents get "smarter," you're spending more time on prompt engineering or more time on the actual creative strategy?