I Built an AI Content Pipeline That Publishes 4 SEO-Optimized Articles Per Day — Here's the Architecture

I Built an AI Content Pipeline That Publishes 4 SEO-Optimized Articles Per Day — Here's the Architecture I'm a chemical engineer who taught himself to code. Six months ago I started building Catalyst OS — a life optimization platform with 106 free calculators, 225 interactive learning modules, and a premium AI journaling tool. The problem was content. I needed hundreds of articles to drive organic traffic, and writing them manually at 2-3 hours each wasn't going to work. So I built an automated content pipeline that generates, publishes, optimizes for SEO, pings search engines, generates social posts, and notifies me via Telegram — four times a day, zero manual intervention. Here's exactly how it works. The Stack n8n (self-hosted workflow automation) — orchestrates everything Claude Sonnet 4 (Anthropic API) — generates the actual content Supabase (PostgreSQL) — stores articles, topics, and metadata Next.js 15 — renders articles with SSR and structured data IndexNow API — pings Bing/Yan