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Full blog content automation with GPT-4, Claude & Ghost CMS publisher

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Full blog content automation with GPT-4, Claude & Ghost CMS publisher preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

The Full Blogging Automation Journey This N8N workflow transforms a simple topic request into a fully published, SEO optimized blog post through a seamless 7 phase process. Starting with your topic...

Best for

  • Content Creation automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, @brave/n8n-nodes-brave-search.bravesearchtool, n8n-nodes-base.ghosttool, @n8n/n8n-nodes-langchain.lmchatanthropic, @n8n/n8n-nodes-langchain.agenttool, @n8n/n8n-nodes-langchain.agent

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Christian Mendieta.

Original n8n.io source

1.1 Workflow description

Title
Full blog content automation with GPT-4, Claude & Ghost CMS publisher
Workflow name
Full blog content automation with GPT-4, Claude & Ghost CMS publisher

🌟 Complete Workflow Overview

The Full Blogging Automation Journey This N8N workflow transforms a simple topic request into a fully published, SEO-optimized blog post through a seamless 7-phase process. Starting with your topic idea, the system automatically researches, creates, optimizes, edits, and publishes professional content to your Ghost CMS website. Think of it as having an entire content team working 24/7 - from initial research to final publication, all orchestrated by AI agents working in perfect harmony. No more writer's block, no more SEO guesswork, just high-quality content that ranks and engages your audience

📋 Requirements & Setup

What You Need to Get Started

  • OpenAI API Key - For GPT models (content generation)
  • Anthropic API Key - For Claude models as failover model
  • Brave Search API Key - For comprehensive research
  • Ghost CMS Admin API Access - For direct publishing
  • Existing Blog Content - Optional but recommended for better research

🔧 Workflow Architecture & Process

How the AI Agents Work Together This N8N workflow implements a sophisticated multi-agent system where specialized AI agents collaborate through structured data exchange. The workflow uses HTTP Request nodes to communicate with OpenAI and Anthropic APIs, integrates with Brave Search for real-time research, and connects to Ghost CMS via REST API calls. Each agent operates independently but shares data through N8N's workflow context, ensuring seamless information flow from research to publication. The system includes error handling, retry logic, and quality gates at each stage to maintain content standards.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When chat message received

Type / Role
@n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices
Version 1.3

Block 2 - OpenAI Chat Model1

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 3 - Simple Memory1

Type / Role
@n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices
Version 1.3

Block 4 - OpenAI Chat Model3

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 5 - OpenAI Chat Model4

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 6 - Brave Search2

Type / Role
@brave/n8n-nodes-brave-search.braveSearchTool - braveSearchTool
Config choices
Version 1

Block 7 - OpenAI Chat Model5

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 8 - Brave Search3

Type / Role
@brave/n8n-nodes-brave-search.braveSearchTool - braveSearchTool
Config choices
Version 1

Block 9 - Brave Search4

Type / Role
@brave/n8n-nodes-brave-search.braveSearchTool - braveSearchTool
Config choices
Version 1

Block 10 - Brave News

Type / Role
@brave/n8n-nodes-brave-search.braveSearchTool - braveSearchTool
Config choices
Version 1

Block 11 - OpenAI Chat Model6

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 12 - Simple Memory2

Type / Role
@n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices
Version 1.3

Block 13 - Blog Content1

Type / Role
n8n-nodes-base.ghostTool - ghostTool
Config choices
Version 1

Block 14 - Blog Content2

Type / Role
n8n-nodes-base.ghostTool - ghostTool
Config choices
Version 1

Block 15 - Anthropic Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
Config choices
Version 1.3

Block 16 - Anthropic Chat Model1

Type / Role
@n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
Config choices
Version 1.3

Block 17 - Anthropic Chat Model2

Type / Role
@n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
Config choices
Version 1.3

Block 18 - Simple Memory4

Type / Role
@n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices
Version 1.3

Block 19 - Anthropic Chat Model3

Type / Role
@n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
Config choices
Version 1.3

Block 20 - Anthropic Chat Model4

Type / Role
@n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
Config choices
Version 1.3

Block 21 - Brave Search

Type / Role
@brave/n8n-nodes-brave-search.braveSearchTool - braveSearchTool
Config choices
Version 1

Block 22 - Simple Memory

Type / Role
@n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices
Version 1.3

Block 23 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 24 - Anthropic Chat Model5

Type / Role
@n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
Config choices
Version 1.3

Showing the first 24 of 39 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Full blog content automation with GPT-4, Claude & Ghost CMS publisher
Complexity advanced
Nodes 39
Categories Content Creation, Multimodal AI
Author Christian Mendieta
Published 26 Aug 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/7920/7920.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Full blog content automation with GPT-4, Claude & Ghost CMS publisher do?

The Full Blogging Automation Journey This N8N workflow transforms a simple topic request into a fully published, SEO optimized blog post through a seamless 7 phase process. Starting with your topic...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.