Generate structured research briefs for content topics with OpenRouter

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1. Workflow Overview

Quick Overview This subworkflow is called by a parent n8n workflow to generate structured research notes from a provided topic and brief using an OpenRouter chat model, then returns the original in...

Best for

Content Creation automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.executeworkflowtrigger, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.code, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.lmchatopenrouter

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Generate structured research briefs for content topics with OpenRouter
Workflow name: Generate structured research briefs for content topics with OpenRouter

Quick Overview

This subworkflow is called by a parent n8n workflow to generate structured research notes from a provided topic and brief using an OpenRouter chat model, then returns the original input merged with a parsed research JSON object for downstream writing steps.

How it works

Receives topic and brief data from a parent workflow via an Execute Workflow trigger.
Uses an OpenRouter-powered AI agent to generate structured research notes as JSON based on the provided topic and brief.
Parses the agent’s output into JSON, falls back to an error object if parsing fails, and merges the result back into the original pipeline state.
Returns the combined data to the parent workflow with a research field containing key facts, angles, sources to mention, and synthesized notes.

Setup

Add OpenRouter API credentials and attach them to the OpenRouter Chat Model used by the AI agent.
Ensure the parent workflow passes topic and brief fields when calling this subworkflow via Execute Workflow.
Save and activate this subworkflow so the parent workflow can execute it.

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 Executed by Parent

Type / Role: n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
Config choices: Version 1.1

Block 2 - Research Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 3 - Parse Research Output

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 4 - Sticky Note

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

Block 5 - OpenRouter Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

3. Summary Table

Workflow	Generate structured research briefs for content topics with OpenRouter
Complexity	intermediate
Nodes	5
Categories	Content Creation, AI Summarization
Author	Elvis Sarvia
Published	26 May 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/15950/15950.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Content Creation workflows AI Summarization workflows

Frequently asked questions

What does Generate structured research briefs for content topics with OpenRouter do?

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, AI Summarization use case.

Elvis Sarvia

18 workflows

Nodes

n8n-nodes-base.executeworkflowtrigger @n8n/n8n-nodes-langchain.agent n8n-nodes-base.code n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.lmchatopenrouter

Complexity

intermediate

Published 26 May 2026

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/15950/15950.json

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Generate structured research briefs for content topics with OpenRouter

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Quick Overview

How it works

Setup

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When Executed by Parent

Block 2 - Research Agent

Block 3 - Parse Research Output

Block 4 - Sticky Note

Block 5 - OpenRouter Chat Model

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions