Create Telegram video briefs with OpenRouter GPT-4.1 and Zvid
UnknownWhat this workflow does
This AI workflow has 25 nodes and runs on Telegram events (message) (plus 1 other trigger). Along the way it connects Telegram, OpenRouter Chat Model, MCP Client and Zvid (community).
How it runs
Trigger: On Telegram events (message) (plus 1 other trigger).
- Prepare chat input (Code): runs custom JavaScript code
- Test brief (Edit Fields (Set)): sets or maps fields
- Config (Edit Fields (Set)): sets or maps fields
- Screen request (Code): runs custom JavaScript code
- Brief ready? (If): checks a condition and branches into true / false
- Preview a saved render? (If): checks a condition and branches into true / false
- Chat reply (Code): runs custom JavaScript code
- Read saved render for preview (Zvid): get (render)
- Zvid AI Agent (AI Agent): runs an AI agent, with model: Chat model (OpenRouter); 1 tool (Zvid MCP tools); memory: Chat memory
- Reply in Telegram? (If): checks a condition and branches into true / false
…plus 10 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that @zvid/n8n-nodes-zvid is verified or supports 3.0 (used in Read saved render for preview, Wait for the newly accepted chat video).
Nodes used (12)
- Telegram Trigger
n8n-nodes-base.telegramTrigger - Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - MCP Client Tool
@n8n/n8n-nodes-langchain.mcpClientTool - Telegram
n8n-nodes-base.telegram - HTTP Request
n8n-nodes-base.httpRequest - Zvid
@zvid/n8n-nodes-zvid.zvid
From the author
Quick overview Turn a Telegram brief into an editable Zvid video draft and signed credit quote. After approval, render the video, wait for the accepted job, and return its completed MP4 through Telegram and Watch video. How it works 1. Start from a Telegram…