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A detailed case study documenting the creation of AffiliateOS, a system using eight specialized AI agents to automate content marketing at scale. The author built agents for planning, routing, research, content generation, SEO, and publishing that work together to produce 45 quality articles per month in 20-35 minutes each. The system uses Claude AI with specialized prompts (3,170 lines), Astro for static site generation, TypeScript for type safety, and OKLCH color space for consistent design. Key insights include the importance of collaborative planning over rigid templates, benchmark-driven URL routing, and human review as a critical guardrail. The article provides honest technical details, architectural decisions, real limitations, and practical lessons about when AI agents work well versus when human creativity is irreplaceable.

AI Agents for Marketing: A Real-World Content Automation Case Study

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Eight specialized Claude agents (planning, routing, research, content, SEO, publishing, analytics) power AffiliateOS, an Astro + TypeScript + Tailwind stack that ships human-reviewed affiliate articles in 30–35 minutes. The case study breaks down the architecture, data-driven routing, OKLCH design system, and lessons from scaling content without losing voice.

<p>Eight specialized Claude agents (planning, routing, research, content, SEO, publishing, analytics) power AffiliateOS, an Astro + TypeScript + Tailwind stack that ships human-reviewed affiliate articles in 30–35 minutes. The case study breaks down the architecture, data-driven routing, OKLCH design system, and lessons from scaling content without losing voice.</p>