Block 1 - Think
- Type / Role
- @n8n/n8n-nodes-langchain.toolThink - toolThink
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
How to Set Up the AI UGC Video Automation System This system uses Telegram + N8N (no code automation) + AI models to generate user generated content (UGC) videos automatically. Overview Input...
@n8n/n8n-nodes-langchain.toolthink, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.splitout, n8n-nodes-base.httprequest, n8n-nodes-base.wait, n8n-nodes-base.if, n8n-nodes-base.aggregate, n8n-nodes-base.telegram
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Deniz.
Original n8n.io sourceThis system uses Telegram + N8N (no-code automation) + AI models to generate user-generated content (UGC) videos automatically.
. N8N retrieves the image from Telegram (via file path). . OpenAI agent analyzes the image: . Extracts product details (brand, color, description). . Extracts character details (name, outfit, style).
. System replies on Telegram: “Got it. I’m now creating your video.”
V3 Fast ($0.40/clip, cheaper, good enough). V3 Quality ($2/clip, slightly higher quality). Video Length: AI automatically adjusts number of clips.
Telegram (default) Can be extended to Google Drive, Dropbox, etc.
Image generation: a few cents. Video clips: ~$0.40 each with V3 Fast. Clip merging: < $0.01. Much cheaper than manual UGC production.
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 30 workflow blocks. Download the JSON for the full node graph.
| Workflow | Create AI-generated UGC marketing videos with Telegram & GPT-4 |
|---|---|
| Complexity | advanced |
| Nodes | 30 |
| Categories | Content Creation, Multimodal AI |
| Author | Deniz |
| Published | 03 Oct 2025 |
Use the JSON export at /data/workflows/9253/9253.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 to Set Up the AI UGC Video Automation System This system uses Telegram + N8N (no code automation) + AI models to generate user generated content (UGC) videos automatically. Overview Input...
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.