I’m Billy, a BMX rider who codes AI engines. I run three brands with different product lines, all sharing the same name but not the workload. The secret? Sub-agents. I built OpenClaw, an orchestrator that runs specialized agents for each task. Here’s how it works.
Tools and Setup
First, you need sub-agents because a single model can’t handle everything. I tried dumping tasks into one model and ended up with gibberish output. Sub-agents split the work among specialists—copy, scheduling, analysis, and more. OpenClaw manages them like a boss.
My day starts at 6 AM after my warm-up. I open an n8n flow that triggers a campaign brief in a Google Sheet. The sheet includes brand name, product line, target audience, and KPIs for the week. A Python script calls OpenClaw with this info. It decides which agents to spin up—ContentClawed (copy), ScheduleClawed (posting), InsightClawed (analysis), and SalesClawed (ad optimization).
Content Strategy
ContentClawed uses Claude 3 Opus, a good choice for nuanced brand voice. I feed it the brief and style guide, get five headline options, and measure relevance. ScheduleClawed calls Gemini 1.5 Pro to optimize posting times based on historical data. Last month, its suggestions boosted click-through rates by 18%.
InsightClawed crunches numbers. It pipes performance data into Gemini for trend analysis and actionable tweaks. In the past three weeks, I saved 4 hours of digging analytics, a 85% time reduction with an extra 12% conversion rate lift.
SalesClawed pulls Meta Ads data, cross-references budgets, and writes new plans. It runs nightly; OpenClaw emails revised spend numbers in the morning. Last quarter, it saved $27,000 by reallocating wasted ad spend—about a 22% reduction.
How do they talk? n8n connects OpenClaw’s API to each agent’s output. It pushes reports into Notion, sends Slack messages, and triggers Zapier webhooks. The whole chain runs on a 5-minute cron schedule. If something fails, n8n retries with exponential backoff and logs errors for debugging.
Building Your Brand
I scaled quickly from one brand and one copy agent to three brands and four agents within three months. There are now 12 active sub-agents handling tasks like TikTok scripts and email A/B testing. AI calls total about 9,800 daily, with costs under $120 per month on AWS Lambda and Vercel.
Start small—maybe posting to Instagram—and build a single-agent prototype. Once you see the time savings, you’ll want to expand. I’ve seen people go from one agent to full orchestration in under two weeks by iterating workflows and adding prompts.
Implementation Details
So, how do sub-agents work? You get higher quality output, faster turnaround, and measurable cost savings. OpenClaw, Claude, Gemini, n8n—these tools make it easy.