I Built a Team of Research Agents for Newsletter Automation in n8n (No Code)
Nate Herk | AI Automation. Walks through a sequential multi-agent newsletter pipeline in n8n — planner, researchers, editor, headline writer — that takes a topic and audience as input and ships a sourced newsletter out the other end. The view count sits below the usual 100k bar, but on this niche (no-code multi-agent newsletter builds) it is the cleanest, most complete tutorial currently on YouTube and maps directly onto the briefing pattern in the article.
What you should get from this
Study a multi-agent newsletter pipeline and identify where sources, approval and failure handling belong.
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Take it further
Hand-picked external courses that go deeper on this topic.
Coursera · Vanderbilt UniversityChatGPT: Excel at Personal Automation with GPTs, AI & Zapier
The clearest path from "I use ChatGPT in a tab" to "my AI handles my inbox while I sleep." Three-course specialization built around Zapier — no Python required. By the end you'll have agents that summarise emails, update spreadsheets, and trigger workflows when conditions are met.
Hugging FaceAI Agents Course
The clearest open-source treatment of agentic systems available. Anchored in the three frameworks engineers actually evaluate (smolagents, LlamaIndex, LangGraph) rather than one vendor's stack. Concludes with a benchmark assignment and public leaderboard — accountability your team can verify.