AI Content Repurposing Engine
Turning one blog post into content for 7 platforms in under 30 seconds
30s
Per blog post, down from 2-3 hours
7
Platforms covered simultaneously
20+
Unique content pieces per generation
95%
Time saved on content repurposing
The Problem
Content teams spend 2-3 hours turning a single blog post into social media content. They manually rewrite it for each platform, adjust the tone, add hashtags, and format for character limits. Multiply that by 3-4 posts per week and it's 8-12 hours of repetitive work — just on repurposing.
The Approach
- 1
Built a content extraction system that scrapes blog posts, pulls YouTube transcripts, and transcribes video/audio files using Whisper
- 2
Designed platform-specific AI prompts — each platform gets content that feels native, not the same text reformatted seven times
- 3
Integrated multiple AI models (Mistral, Groq, OpenAI, Anthropic) so users can choose based on quality and cost
- 4
Added RSS feed monitoring that auto-generates content when a new blog post goes live — zero manual work
- 5
Connected to n8n automation workflows for hands-free distribution to social media platforms
Tech Stack
"What used to take our content team half a day now takes 30 seconds. We paste a URL and get ready-to-post content for every platform. It changed how we think about content distribution entirely."
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