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Enhance LinkedIn with StopSlopIn: AI-Powered Post Filtering

Enhance LinkedIn with StopSlopIn: AI-Powered Post Filtering

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Enhance LinkedIn with StopSlopIn: AI-Powered Post Filtering

Enhance LinkedIn with StopSlopIn: AI-Powered Post Filtering

Regular price £24.99
Regular price £24.99 Sale price
SAVE Sold out

Transform Your LinkedIn Feed with AI-Powered Content Filtering

Stop drowning in low-quality LinkedIn posts with this intelligent n8n workflow that powers the StopSlopIn Chrome extension. This AI-driven automation classifies LinkedIn content as quality or "slop" using advanced LLM analysis and continuously learns from user feedback through vector storage technology.

What This Workflow Does

This workflow serves as the official backend for the StopSlopIn Chrome extension, processing LinkedIn posts through a sophisticated two-action system:

  • Post Analysis: Receives LinkedIn posts via webhook, enriches them with similar prior-rated content from Qdrant vector store using RAG (Retrieval-Augmented Generation), and sends batched posts to OpenAI's LLM with a strict quality-gate system prompt
  • User Training: Processes user votes on post quality, embeds the feedback, and stores it in Qdrant to continuously improve classification accuracy over time
  • Smart Routing: Uses a Switch node to handle incoming requests based on action parameters (analyze vs. vote), ensuring efficient processing of different request types

Use Cases

  • LinkedIn Content Curation: Automatically filter out engagement bait, generic motivational posts, and low-value content from your LinkedIn feed
  • Professional Network Management: Maintain focus on high-quality industry insights and meaningful professional discussions
  • Content Quality Training: Build a personalized AI model that learns your content preferences and improves filtering accuracy
  • Chrome Extension Backend: Power browser-based LinkedIn enhancement tools with robust n8n automation infrastructure

Technical Details

Core Technologies: OpenAI LLM integration, Qdrant vector database, Chrome extension webhook support

n8n Nodes Used: Switch, Set, Filter, Merge, If, No Op nodes for advanced workflow logic

Setup Requirements: OpenAI API credentials, Qdrant vector store with "stopslopin" collection, webhook URL configuration

Deploy this workflow on your own n8n instance to maintain complete control over your LinkedIn content filtering while benefiting from AI-powered quality assessment and continuous learning capabilities.

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