Skip to content

AI-driven LinkedIn content automation with human-in-the-loop approval. Generates posts and images via LLMs, routes them for email review, supports feedback-based regeneration, and tracks the full lifecycle using Google Sheets and Drive. Orchestrated with n8n and webhook-based workflows.

Notifications You must be signed in to change notification settings

theagharshit/linkedin-content-agent

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 

Repository files navigation

Linkedin-Content-Agent

What this does

Automates the creation of high-quality LinkedIn posts and visuals using LLMs, with a built-in human approval step before publishing.

Why this exists Creating consistent, insight-driven LinkedIn content is time consuming and repetitive. This system reduces manual effort while retaining editorial control through "human in the loop" review and feedback.

How it works 1. A webhook triggers post generation with a topic and target audience 2. An LLM generates the post copy and an image prompt 3. An AI generated image is created and stored 4. The content is emailed for approval or feedback 5. Feedback triggers regeneration when required 6. Post status and assets are tracked in Google Sheets and Drive

Tech stack • LLMs (text + image generation) • n8n for workflow orchestration • Webhooks for event driven execution • Google Sheets & Drive for state and asset management

About

AI-driven LinkedIn content automation with human-in-the-loop approval. Generates posts and images via LLMs, routes them for email review, supports feedback-based regeneration, and tracks the full lifecycle using Google Sheets and Drive. Orchestrated with n8n and webhook-based workflows.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published