GPT-5 Newsletter Agent: Achieving 7,600 Subscribers in 24 Hours #Shorts

GPT-5 Newsletter Agent: Achieving 7,600 Subscribers in 24 Hours Most businesses are stuck in Level 1 automation—manually pulling content, battling inconsistency, and wasting hours on newsletter curation. Here’s how I built my first GPT-5 AI n8n Agent to change that. This isn’t just about plugging GPT-5 into a workflow. It’s about moving from scattered tools to a real, automated system that solves a business problem—curating a polished, high-value newsletter. Here’s the blueprint: 1. Automated news sourcing from 6 feeds ↳ The workflow pulls articles, images, and links from multiple RSS feeds ↳ Everything is saved into Supabase as raw data 2. Human-in-the-loop curation ↳ A manual dashboard lets me handpick the best stories ↳ Only relevant, valuable news makes the final cut 3. Seamless AI processing with GPT-5 ↳ The curated articles are sent to a GPT-5 agent ↳ The agent gets the title, snippet, date, content, and source URL ↳ System prompt: “You are a professional news analyst AI. Output clean JSON.” ↳ Output is formatted in markdown for easy publishing (or HTML, if you prefer) 4. Data integrity and reliability ↳ Some sites block scrapers, so the agent uses SERP API or Tavily to fill gaps ↳ If content is missing, it auto-searches Google to complete the article ↳ A structured output parser ensures every result is clean, consistent, and ready for publishing 5. Ready for any platform ↳ Publish to WordPress, Ghost, Google Docs—or even Medium (yes, I still can, despite the API deprecation!) This workflow moves you from Level 1 (manual chaos) to Level 2 (automated, interconnected processes). And it’s just the beginning. Want the exact n8n workflow I use for AI-powered newsletter curation? Comment “AI workflows” below and I’ll send it your way (make sure we’re connected).