AI Agent Blog Pipeline - Automated Content Generation & Publishing System

Generate SEO-optimized blog posts 10x faster with AI agents

An end-to-end AI agent workflow that researches, writes, optimizes, verifies, and publishes blog articles automatically. Built to reduce manual content effort while improving quality, SEO readiness, and consistency.

Key Features

  • Multi-Agent Workflow: Research → Writing → SEO → Verification → Final Polish
  • Source-Based Research Notes: Generated before writing for accuracy
  • SEO Optimization Agent: Handles titles, headings, keywords, and meta descriptions
  • Quality / Fact-Check Agent: Reduces hallucinations and improves accuracy
  • Markdown Output Storage: For portability and versioning
  • Admin Dashboard Delivery: Review, edit, approve, and publish
  • Make.com Automation: Triggers, scheduling, and publishing integrations

Pipeline Stages

  1. Trigger: Manual topic, scheduled run, or keyword list
  2. Research Agent: Collects insights + structured notes
  3. Writer Agent: Generates the article from notes
  4. SEO Agent: Optimizes for search and readability
  5. Verification Agent: Checks logic + factual consistency
  6. Editor Agent: Improves clarity, tone, and flow
  7. Formatter Agent: Outputs clean Markdown / CMS-ready format
  8. Publish Step: Sends to dashboard + publishes via Make.com

AI Agent Blog Pipeline Dashboard ScreenshotAI Agent Blog Pipeline Workflow Screenshot

Tech Stack

- Frontend: Next.js, Tailwind CSS, Shadcn UI, Tiptap (editor)
- Backend: Next.js (Server Actions) + TypeScript
- Database: PostgreSQL (Supabase)
- LLMs: OpenAI (GPT-4o) (Gemini for research)
- Automation: Make.com
- Deployment: Vercel

Impact

- Cuts content creation time by automating research → publish workflow
- Improves consistency with structured multi-step generation
- Higher-quality output through verification + editing stages
- Scalable system: easy to add new agents (social posts, email, repurposing)

Explore

Check out the live project: AI Agent Blog Pipeline Live Demo