End-to-End Autonomous LinkedIn Content Engine
A fully automated AI content factory using n8n that monitors industry trends, generates on-brand posts via GPT-4, creates matching visuals, and schedules to LinkedIn, with a human Slack approval step.
- Client
- Digital Marketing Agency (NDA)
- Industry
- Digital Marketing & Personal Branding
- Type
- AI & Automation
- Year
- 2024
- Our role
- Lead Automation Architect
- Timeline
- 3 weeks
- Team
- 1 dev
Overview
A digital marketing and thought leadership agency needed to maintain high-frequency LinkedIn presence for multiple clients without their team spending 10+ hours a week on manual drafting and scheduling.
Process.
- Built an n8n workflow with modular stages: RSS/news scraping → GPT-4 content synthesis in brand voice → secondary LLM prompt chain for image generation → DALL-E 3 visual creation → Slack approval notification → LinkedIn API scheduled posting.
- Used Airtable as a headless CMS for content management.
What we built.
- featAutomated RSS and news scraping for industry trend detection
- featGPT-4 post generation with few-shot prompting for brand voice matching
- featSecondary LLM chain translating post content into precise image prompts
- featDALL-E 3 visual generation contextually matched to each post
- featSlack human-in-the-loop approval (one-click Approve or Edit)
- featAirtable CMS for viewing, editing, and organizing content pipeline
Hard parts.
fixAI-generated content sounding generic and robotic
Implemented few-shot prompting feeding the AI 5-10 of the client's highest-performing posts before each generation, enabling authentic brand voice replication.
fixLinkedIn API OAuth token expiry breaking the pipeline
Built robust OAuth2 token refresh logic within n8n that automatically renews credentials before expiry, ensuring zero pipeline interruptions.
fixGenerated images being generic and professionally irrelevant
Created a secondary LLM chain that translates the post's core message and industry context into a detailed, specific image prompt before passing to DALL-E 3.
fixClient needed content oversight without a dedicated app
Used Airtable as a headless CMS, giving the client a familiar spreadsheet-like interface to review, edit, and plan months of content without any custom software.
Built with
n8n OpenAI GPT-4 DALL-E 3 Airtable Slack API LinkedIn API
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