Block 1 - Mistral Cloud Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatMistralCloud - lmChatMistralCloud
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
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 . I...
@n8n/n8n-nodes-langchain.lmchatmistralcloud, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.toolthink, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolworkflow, @n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.executeworkflowtrigger
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by DIGITAL BIZ TECH.
Original n8n.io sourceThis 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.
Trigger: When chat message received
Starts the workflow whenever a user sends a message to the chatbot or embedded interface.
Agent: LinkedIn Agent
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.
Trigger: When Executed by Another Workflow
Receives payload from the template tool (template ID + topic).
Router Node: Switch between templates
1 → Knowledge & Educational 2 → Promotion 3 → Discussion 4 → Case Study & Testimonial Prompt Template Nodes:
Each Set node defines a large, structured prompt containing:
Expert Writer Agent: post generator
Mistral Cloud Chat ModelOutput:
The generated post text is sent back to the template tool and displayed to the user in chat.
| Service | Purpose | Credential |
|---|---|---|
| Mistral Cloud | LLM & post generation | Mistral Cloud account dbt |
| n8n Agent Framework | Multi-agent orchestration | Native |
| Chat UI / Webhook | Frontend interaction | Custom embedded UI or webhook trigger |
> “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.”
> 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.
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.
We can help you set it up for free — from connecting credentials to deploying it live.
Contact: [email protected]
Website: https://www.digitalbiz.tech
LinkedIn: https://www.linkedin.com/company/digital-biz-tech/
You can also DM us on LinkedIn for any help.
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 29 workflow blocks. Download the JSON for the full node graph.
| Workflow | Generate LinkedIn posts with Mistral AI using 7 dynamic content templates |
|---|---|
| Complexity | advanced |
| Nodes | 29 |
| Categories | Content Creation, Multimodal AI |
| Author | DIGITAL BIZ TECH |
| Published | 03 Nov 2025 |
Use the JSON export at /data/workflows/10450/10450.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.
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 . I...
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.