Corey Ganim just had me back on the Build With AI podcast to break down exactly how I’m building and selling managed agents for $5K/month. The part that still feels like the future is that my agent, Dewey, now handles most of the fulfillment himself. He builds the client’s agent on Orgo, turns discovery calls and Slack context dumps into skills, onboards the agent into the client’s Slack, and handles customer support after launch. I’ll literally be out on a walk, watching Dewey solve client problems from my phone. Here are the biggest lessons from the system: 1. Agents building agents is already here. Dewey recently built a $5K/month client’s agent and onboarded it into their Slack himself. 2. Build is becoming commoditized. The valuable skill is knowing which questions to ask, understanding the client’s business, and pointing the agent at the right tools and problems. 3. Every agent should have its own identity and resources. Dewey has his own email, phone number, computer, memory, and card. He can sign up for software, pay for tools, communicate with clients, and complete work without waiting for me. 4. Customer support can become part of the agent’s job. Dewey sits inside iMessage and Slack conversations with clients. When something breaks, he can investigate and fix it directly. 5. The stack is simpler than people think. You need a harness like Hermes or OpenClaw, a strong model, an Orgo computer, Agent Mail, Agent Phone, Obsidian, Honcho for memory, Composio, and Latitude. The Agent Bundle packages the agent’s card, email, and phone for around $20/month. 6. Templatize once, deploy forever. Once you build your ideal agent stack, save it as an Orgo template. Then you can clone that exact infrastructure for every new client instead of rebuilding from scratch. 7. Nobody pays $5K/month for an agent just because it’s cool. The agent needs to make the client money. The strongest model I’ve found is helping a business build an agent they can resell to their own customers. That turns the offer from B2B into B2B2B—and makes it much harder to churn.

The model: I sell managed AI agents to businesses for $5K/month each. I handle the infrastructure, they get an employee that never sleeps. 10 clients puts you at $50K MRR with 85%+ margins, run entirely by you and a fleet of agents. Here's the playbook: 1. The arbitrage is that nobody knows this is possible. 99% of business owners are still asking ChatGPT what the weather is. One working agent hooks them on the spot. 2. Sell abundance. Unlimited agents, unlimited infrastructure. They don't care what an MCP is, they care that their problem is gone. 3. Don't niche too early. Say yes to everyone and let the market pull you. You find the niche by doing reps, not guessing. 4. Paid audit into managed service. Charge $1K to map every automation opportunity, then credit it toward month one. It qualifies the lead and makes the upsell a no-brainer. 5. First call, don't sell. Record it, map the workflow tip to tail, find the automation with the most value and least effort. Start there. 6. My stack is Hermes + Composio + Orgo. Composio connects all their apps in one click. Orgo spins up a working Hermes agent in 26 seconds. 7. Productize with a golden snapshot. Build one perfect agent, clone it, and every copy comes over one-for-one with auth intact. 8. Turn client call transcripts into skills in 10 minutes. Feed the recording to Claude Code, write the skill, port it to the client's agent via Orgo MCP. 9. Watchdogs make you look elite. Get alerted before the client notices anything broke. "Already fixed it" is why they keep paying you. 10. You become their guy. You drive more outcomes than their own employees. They credit every win to you, and churn drops to almost nothing. My 2 biggest takeaways: 1. Bet on cost going to zero. We launched unlimited tokens when it was barely profitable because we knew we'd capture the spread. Build for where the puck is going. 2. One client every six weeks gets you to $600K a year.