Create and optimize B2B LinkedIn AI posts with Groq and Telegram alerts
Ready for 3.0What this workflow does
This AI workflow has 34 nodes and runs on a schedule (every day) (plus 2 other triggers). Along the way it connects LinkedIn, Telegram and Groq Chat Model.
How it runs
Trigger: On a schedule (every day) (plus 2 other triggers).
- message erreur (Telegram): uses Telegram
- Générer Contenu LinkedIn (AI Agent): runs an AI agent, with model: Groq Model
- verificateur (AI Agent): runs an AI agent, with model: Groq Model
- Parser Vérificateur (Code): runs custom JavaScript code
- marketing (AI Agent): runs an AI agent, with model: Groq Chat Model
- optimiser la version final (AI Agent): runs an AI agent, with model: Groq Chat Model
- Verification finale (Code): runs custom JavaScript code
- If: checks a condition and branches into true / false
- Succes publication (Edit Fields (Set)): sets or maps fields
- Message erreur (Edit Fields (Set)): sets or maps fields
…plus 12 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (12)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Manual Trigger
n8n-nodes-base.manualTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - Edit Fields (Set)
n8n-nodes-base.set - LinkedIn
n8n-nodes-base.linkedIn - Telegram
n8n-nodes-base.telegram - Groq Chat Model
@n8n/n8n-nodes-langchain.lmChatGroq - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Error Trigger
n8n-nodes-base.errorTrigger - Wait
n8n-nodes-base.wait
From the author
Quick overview This workflow generates an AI-written LinkedIn post about business automation and AI using Groq models, audits and optimizes it through multiple review passes, validates the final output, and automatically publishes it to LinkedIn, with…