Generate AI Twitter posts with web research using GPT, Tavily and image generation

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Important notice

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

1. Workflow Overview

This workflow contains community nodes that are only compatible with the self hosted version of n8n. AI Powered Twitter Content Generator Transform topic ideas into ready to post Twitter drafts ...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.gmail, n8n-nodes-base.httprequest, n8n-nodes-base.converttofile, @tavily/n8n-nodes-tavily.tavilytool, 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 Ilyass Kanissi.

Original n8n.io source

1.1 Workflow description

Title: Generate AI Twitter posts with web research using GPT, Tavily and image generation
Workflow name: Generate AI Twitter posts with web research using GPT, Tavily and image generation

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

🤖 AI-Powered Twitter Content Generator

Transform topic ideas into ready to post Twitter drafts (text + image) using fresh web data and AI agents

🎯 What does this workflow do?

This end to end automation creates complete Twitter posts by:

Taking your topic input (e.g., "Agentic AI") via chat interface

Generating fresh, research-backed content using AI agents:

First agent uses GPT-4.1-MINI + Tavily to bypass LLM knowledge limits with real-time web data

Second agent creates optimized prompt for image generation

Producing custom visuals through OpenAI's gpt-image-1

Delivering polished drafts (text + image) via Gmail for review

⚙️ How it works

User input: You provide a topic through chat node

Content research:

Agent 1 (GPT-4.1-mini + Tavily) researches current web data

Generates factually fresh tweet content

Visual creation:

Agent 2 optimizes prompt for image generation

HTTP request node calls OpenAI's gpt-image-1 model to generate the image

Convert to file node converst the base64 string to a file so we can send it as an attachment

Delivery:

Gmail node sends compiled draft with text body + image attachment

🔑 Required setup

Have a verified organization: OpenAI Org Settings

OpenAI API Key: Create a Key Here

Tavily API Key: Get it Here

Gmail credentials: Google Cloud Console

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 Model

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

Block 3 - Twitter Content

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 4 - OpenAI Chat Model1

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

Block 5 - Send a message

Type / Role: n8n-nodes-base.gmail - gmail
Config choices: Version 2.1

Block 6 - Twitter Image Prompt

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 7 - gpt-image-1

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

Block 8 - Convert to File

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

Block 9 - Search in Tavily

Type / Role: @tavily/n8n-nodes-tavily.tavilyTool - tavilyTool
Config choices: Version 1

Block 10 - Sticky Note

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

Block 11 - Sticky Note1

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

Block 12 - Sticky Note2

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

3. Summary Table

Workflow	Generate AI Twitter posts with web research using GPT, Tavily and image generation
Complexity	intermediate
Nodes	12
Categories	Content Creation, Multimodal AI
Author	Ilyass Kanissi
Published	18 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7550/7550.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 Generate AI Twitter posts with web research using GPT, Tavily and image generation do?

This workflow contains community nodes that are only compatible with the self hosted version of n8n. AI Powered Twitter Content Generator Transform topic ideas into ready to post Twitter drafts ...

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.

Ilyass Kanissi

4 workflows

Nodes

@n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.agent n8n-nodes-base.gmail n8n-nodes-base.httprequest n8n-nodes-base.converttofile @tavily/n8n-nodes-tavily.tavilytool n8n-nodes-base.stickynote

Complexity

intermediate

Published 18 Aug 2025

Likes 0

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Install path: /data/workflows/7550/7550.json

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Generate AI Twitter posts with web research using GPT, Tavily and image generation

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🤖 AI-Powered Twitter Content Generator

🎯 What does this workflow do?

⚙️ How it works

🔑 Required setup

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When chat message received

Block 2 - OpenAI Chat Model

Block 3 - Twitter Content

Block 4 - OpenAI Chat Model1

Block 5 - Send a message

Block 6 - Twitter Image Prompt

Block 7 - gpt-image-1

Block 8 - Convert to File

Block 9 - Search in Tavily

Block 10 - Sticky Note

Block 11 - Sticky Note1

Block 12 - Sticky Note2

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