AI-Powered LinkedIn Post Generator Workflow

Overview

This workflow is a two-part intelligent content creation system built in n8n, designed to generate professional and on-brand LinkedIn posts.

It combines a conversational frontend agent that interacts naturally with users and a backend post generation engine powered by structured templates and Mistral Cloud AI models.

Workflow Structure

• Frontend: Conversational “LinkedIn Agent” that guides the user.
• Backend: “Post Generator” engine that produces final, high-quality content using dynamic templates.

LinkedIn Agent (Frontend Flow)

• Trigger: When chat message received
  Starts the workflow whenever a user sends a message to the chatbot or embedded interface.

• Agent: LinkedIn Agent

  • Welcomes the user and lists 7 available post templates:
    1. Educational
    2. Promotional
    3. Discussion
    4. Case Study & Testimonial
    5. News
    6. Personal
    7. General
  • Prompts the user to select a template number.
  • Asks for a topic after the user’s choice.
  • Sends both template number and topic to the backend using a Tool call.

• Memory: Simple Memory1
  Stores the last 10 messages to maintain conversational context.

• LLM Model: Mistral Cloud Chat Model1
  Used for reasoning, conversational responses, and user guidance.

• Tool Used: template
  Invokes another trigger in the same workflow: When Executed by Another Workflow.
  Passes the user’s chosen template and topic to the backend.

Post Generation Engine (Backend Flow)

• Trigger: When Executed by Another Workflow
  Receives payload from the template tool (template ID + topic).

• Router Node: Switch between templates

  • Directs flow to the correct post template logic based on user’s choice (1–7).
  • Example:
    • 1 → Knowledge & Educational
    • 2 → Promotion
    • 3 → Discussion
    • 4 → Case Study & Testimonial
    • etc.

• Prompt Template Nodes:
  Each Set node defines a large, structured prompt containing:

  • Specific tone, audience, and purpose rules
  • Example hooks and CTAs
  • Layout and line formatting instructions
  • “FORBIDDEN PHRASES” list (e.g., no “game-changer”, “revolutionary”)

• Expert Writer Agent: post generator

  • A specialized agent node that receives the selected prompt template.
  • Generates the final LinkedIn post text using strict formatting and tone rules.
  • Model: Mistral Cloud Chat Model

• Output:
  The generated post text is sent back to the template tool and displayed to the user in chat.

Integrations Used

Agent System Prompt Summary

“You are an intelligent LinkedIn assistant that helps users craft posts.
List available templates, guide them to select one, and collect a topic.
Then use the provided template tool to request the backend writer to generate a final post.”

Backend writer’s system prompt:

“You are an expert LinkedIn marketing leader.
Generate structured, professional posts for AI/automation topics.
Avoid hype, buzzwords, and clichés.
Keep sentences short, tone confident, and use strong openers.”

Key Features

• ✅ Dual-agent architecture (Frontend Assistant + Backend Writer)
• ✅ 7 dynamic content templates for flexibility
• ✅ Conversational chat interface for ease of use
• ✅ Strict brand tone enforcement with style rules
• ✅ Fully automated generation and return of final post in chat

Summary

A modular, agent-based n8n workflow for automated LinkedIn post creation, featuring conversational input, structured templates, and AI-generated output powered by Mistral Cloud.

Perfect for content teams, social media managers, and AI automation startups.

Need Help or More Workflows?

Want to customize this workflow for your business.
Our team at Digital Biz Tech can tailor it precisely to your use case — from automation logic to AI-powered content engines.

Contact: [email protected]
Visit us: https://www.digitalbiz.tech