Templates / Multi-agent PDF-to-blog content generation

Multi-agent PDF-to-blog content generation

Needs changes

by Derek Cheung ✓ · 14,271 views · created 2024-10-09 · Content Creation, Multimodal AI

Needs changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 14 nodes and runs when someone submits an n8n form. Along the way it connects OpenAI Chat Model, Ghost and OpenAI.

How it runs

Trigger: When someone submits an n8n form.

  1. Extract from File: extracts data from a file
  2. Content Analyst (AI Agent): runs an AI agent, with model: OpenAI Chat Model
  3. Project Planner (OpenAI): uses OpenAI
  4. Delegate to Writers (Split Out): splits a list into separate items
  5. Merge: merges the data from its input branches
  6. Writers (AI Agent): runs an AI agent, with model: OpenAI Chat Model
  7. Final article text (Code): runs custom JavaScript code
  8. Editor (AI Agent): runs an AI agent, with model: OpenAI Chat Model
  9. Create title (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI Chat Model
  10. Ghost: uses Ghost

Services it uses

OpenAI Chat ModelGhostOpenAI

Before you upgrade to n8n 3.0

1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:

  • AI Agent v1 (old agent modes) in Editor (v1.6), Content Analyst (v1.6), Writers (v1.6): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).

Removed in 3.0Replace with
AI Agent v1 (old agent modes)
Editor (v1.6), Content Analyst (v1.6), Writers (v1.6)
Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Nodes used (10)

From the author

Purpose of workflow: The purpose of this workflow is to automatically transform complex, lengthy PDFs into concise, insightful blog posts. This process aims to make dense information more accessible and understandable to a broader audience. How it works:…

Excerpt from Derek Cheung's description on n8n.io.

View the original on n8n.io → Check your own copy

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