Block 1 - Table of Contents
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 1.7
This workflow is provided as-is. Please review and test before using in production.
How it works This workflow automatically generates full length, research backed blog articles from online news sources. It collects headlines from selected URLs, extracts topic ideas, creates an ou...
@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.splitout, n8n-nodes-base.merge, n8n-nodes-base.aggregate, @n8n/n8n-nodes-langchain.toolworkflow, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by PrideVel.
Original n8n.io sourceThis workflow automatically generates full-length, research-backed blog articles from online news sources. It collects headlines from selected URLs, extracts topic ideas, creates an outline, writes well-structured sections with citations, compiles the article, and finally exports the completed piece to Google Docs. The workflow supports SEO outputs such as title, slug, and meta description, making the article ready for publication.
The workflow begins by fetching content from the configured URLs using the Extract node. The scraped page content is processed to pull out headlines and article references.
The AI Agent analyzes the extracted headlines and converts them into meaningful blog topic suggestions.
Each topic is processed individually using a loop, ensuring one full article is generated per topic.
The Table of Contents Agent creates a structured outline for the article:
For each section in the outline:
All generated sections are merged and refined into a complete article:
The workflow automatically generates:
The workflow:
(Optional) You may add additional sources, categories, or CMS publishing integrations.
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.
Showing the first 24 of 29 workflow blocks. Download the JSON for the full node graph.
| Workflow | Generate research-backed blog articles from news with OpenAI, Tavily and Google Docs |
|---|---|
| Complexity | advanced |
| Nodes | 29 |
| Categories | Content Creation, Multimodal AI |
| Author | PrideVel |
| Published | 05 Jan 2026 |
Use the JSON export at /data/workflows/12477/12477.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
How it works This workflow automatically generates full length, research backed blog articles from online news sources. It collects headlines from selected URLs, extracts topic ideas, creates an ou...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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.