Ai-powered LinkedIn content generator with OpenAI GPT-4 and DALL-E

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Important notice

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

1. Workflow Overview

This n8n template helps you build a full AI powered LinkedIn content generator with just a few clicks. Paired with the free WeWeb UI template, it becomes a ready to u...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.respondtowebhook, n8n-nodes-base.httprequest, n8n-nodes-base.webhook, n8n-nodes-base.stickynote

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Ai-powered LinkedIn content generator with OpenAI GPT-4 and DALL-E
Workflow name: Ai-powered LinkedIn content generator with OpenAI GPT-4 and DALL-E

This n8n template helps you build a full AI-powered LinkedIn content generator with just a few clicks.

Paired with the free WeWeb UI template, it becomes a ready-to-use web app where users can:

Add their own OpenAI API key
Customize the prompt and define 6 content topics
Edit the AI-generated topics
Choose when to generate LinkedIn posts, complete with hashtags and an optional image

Who This Is For

Perfect for marketers, indie hackers, and solopreneurs who want to build their personal brand on LinkedIn while staying in control of what gets posted.

🧠 What Makes This Different

Unlike most AI agents, you stay fully in control:

You define the tone and focus via the prompt.
You choose which topics to keep or modify.
You decide when to generate a post.
You can build on top of this and create your own SaaS product.

It’s also modular and extendable—hook it up to your backend, add user login, or feed AI improvements based on user input.

⚙️ How It Works

Triggering Events: The app includes 3 pre-configured triggers, ready to be hooked into your WeWeb frontend. Just update the webhook URLs after duplicating the n8n workflow.
Topic Generation: A call is made to OpenAI (GPT-4) to generate topic ideas based on your prompt.
Post Creation: Once topics are approved or edited, GPT-4 writes full posts with suggested hashtags.
Image Generation (Optional): If enabled, a DALL·E call generates a relevant image.
Everything Stays Local: All data and images are handled locally, no cloud storage setup needed.

🧪 Requirements & Setup

No fancy infrastructure required. Here’s what helps you get started:

Free WeWeb account (recommended) to use the frontend UI template
OpenAI account with API access (for GPT-4 and DALL·E)
n8n account (self-hosted or cloud) to run the backend workflow

The template is completely free to use. Since each user adds their own OpenAI API key, you don't need to worry about usage costs or rate limits on your end.

🔧 Want to Go Further?

This setup is beginner-friendly, but developers can:

Add user accounts
Save post history
Feed user feedback back into the prompt logic
Launch their own branded version as a SaaS

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 - OpenAI Chat Model

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

Block 2 - Structured Output Parser

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

Block 3 - Content creator

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

Block 4 - OpenAI Chat Model1

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

Block 5 - Structured Output Parser1

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

Block 6 - Hashtag generator /SEO

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 7 - OpenAI Chat Model2

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

Block 8 - Structured Output Parser2

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

Block 9 - Respond to Webhook

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.3

Block 10 - Respond to Webhook1

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.3

Block 11 - HTTP Request

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 12 - Respond to Webhook2

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.3

Block 13 - Generate post with hashtags

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

Block 14 - Generate 6 topics

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

Block 15 - Generate image

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

Block 16 - Sticky Note

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

Block 17 - Content topic generator

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 18 - Sticky Note1

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

Block 19 - Sticky Note2

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

Block 20 - Sticky Note3

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

Block 21 - Sticky Note4

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

Block 22 - Sticky Note5

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

Block 23 - Sticky Note6

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

3. Summary Table

Workflow	Ai-powered LinkedIn content generator with OpenAI GPT-4 and DALL-E
Complexity	advanced
Nodes	23
Categories	Content Creation, Multimodal AI
Author	WeWeb
Published	05 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7007/7007.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 Multimodal AI workflows

Frequently asked questions

What does Ai-powered LinkedIn content generator with OpenAI GPT-4 and DALL-E do?

This n8n template helps you build a full AI powered LinkedIn content generator with just a few clicks. Paired with the free WeWeb UI template, it becomes a ready to u...

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.

WeWeb

2 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.outputparserstructured @n8n/n8n-nodes-langchain.chainllm @n8n/n8n-nodes-langchain.agent n8n-nodes-base.respondtowebhook n8n-nodes-base.httprequest n8n-nodes-base.webhook n8n-nodes-base.stickynote

Complexity

advanced

Published 05 Aug 2025

Likes 0

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Install path: /data/workflows/7007/7007.json

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Ai-powered LinkedIn content generator with OpenAI GPT-4 and DALL-E

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

This n8n template helps you build a full AI-powered LinkedIn content generator with just a few clicks.

Who This Is For

🧠 What Makes This Different

⚙️ How It Works

🧪 Requirements & Setup

🔧 Want to Go Further?

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - OpenAI Chat Model

Block 2 - Structured Output Parser

Block 3 - Content creator

Block 4 - OpenAI Chat Model1

Block 5 - Structured Output Parser1

Block 6 - Hashtag generator /SEO

Block 7 - OpenAI Chat Model2

Block 8 - Structured Output Parser2

Block 9 - Respond to Webhook

Block 10 - Respond to Webhook1

Block 11 - HTTP Request

Block 12 - Respond to Webhook2

Block 13 - Generate post with hashtags

Block 14 - Generate 6 topics

Block 15 - Generate image

Block 16 - Sticky Note

Block 17 - Content topic generator

Block 18 - Sticky Note1

Block 19 - Sticky Note2

Block 20 - Sticky Note3

Block 21 - Sticky Note4

Block 22 - Sticky Note5

Block 23 - Sticky Note6

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