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n8nCase study

AI Content Factory Automation with n8n

Multi-agent AI content factory that plans, researches, writes, edits, and generates images for multi-format content from a single topic input using n8n and LLM orchestration.

n8n · workflow canvasproduction build
AI Content Factory Automation with n8n workflow

Context

Solo creators and teams struggled to scale high-quality, multi-format content because research, drafting, editing, and visual creation were fragmented, manual, and hard to coordinate across tools.

Approach

Designed a modular n8n pipeline that kicks off from a single prompt, delegates tasks to specialized agents, runs research, drafting, editing, and image-generation stages, applies quality-control loops, and outputs publish-ready assets for blogs, social media, and video.

Architecture

  1. Webhook or calendar trigger
  2. Topic intake
  3. Research agent (NewsAPI + OpenAI)
  4. Strategy and outline generation
  5. Multi-agent task orchestration (writer, editor, image creator)
  6. Supabase file storage
  7. Elevenlabs API voice generation
  8. KieAI API image generation
  9. KieAI API image to video generation
  10. Creatomate API consolidate clips into one video using pre built template.

Results

70%Content production time saved
4+ assetsFormats generated per topic
Minimal, editor-in-chief onlyHuman editing required