Block 1 - Simple Memory
- Type / Role
- @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
- Config choices
- Version 1.3
This workflow is provided as-is. Please review and test before using in production.
What this workflow does This automation turns a Telegram voice or text message into a high quality LinkedIn post using OpenAI’s Whisper, Dumpling AI and GPT 4, and then repurposes that same mess...
@n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.httprequesttool, n8n-nodes-base.telegramtrigger, n8n-nodes-base.switch, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Yang.
Original n8n.io sourceThis automation turns a Telegram voice or text message into a high-quality LinkedIn post using OpenAI’s Whisper, Dumpling AI and GPT-4, and then repurposes that same message into a content idea with visual inspiration using Dumpling AI. All outputs are saved to Airtable for review, approval, and scheduling.
You’ll need active accounts for:
In Airtable, create a table with the following fields:
Ideas (Single line text)Context (Long text)Image URL (URL)Set up your Telegram bot
Connect all credentials in n8n
Update node parameters
Optional prompt customization
Optional: Adjust the Dumpling AI prompt to suit your niche (e.g., health, tech, finance).
This workflow makes it easy to share your voice with your audience — literally. Whether you're walking, thinking out loud, or sending team updates, this automation turns your spoken ideas into professional content, ready to post or polish.
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.
| Workflow | Create LinkedIn content from Telegram voice/text using Whisper, GPT-4 & Dumpling AI |
|---|---|
| Complexity | advanced |
| Nodes | 16 |
| Categories | Content Creation, Multimodal AI |
| Author | Yang |
| Published | 13 Sept 2025 |
Use the JSON export at /data/workflows/8563/8563.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.
What this workflow does This automation turns a Telegram voice or text message into a high quality LinkedIn post using OpenAI’s Whisper, Dumpling AI and GPT 4, and then repurposes that same mess...
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.