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AI Content Repurposer

Take one piece of content (blog, video transcript, podcast) and repurpose it into multiple formats for different platforms.

Best for: Content creators, marketers, podcasters who want to maximize content reach

What You Get

  • -Content analysis and key insight extraction
  • -Multi-format generation (tweets, LinkedIn, newsletter, blog)
  • -Platform-specific tone and length optimization
  • -Hashtag and keyword suggestion
  • -Content calendar with posting schedule

Step by Step

1. Ingest and analyze the content

Accept content in any format: blog post URL (fetch and extract text), YouTube transcript (via API), podcast transcription text, or raw text. Use OpenAI to analyze the content and extract the main thesis and structure.

2. Extract key insights

Use OpenAI to extract 5-7 key insights: quotable lines, surprising statistics, contrarian opinions, actionable takeaways, and the core narrative arc. Each insight includes a suggested format type (tweet-friendly, LinkedIn story, newsletter hook).

3. Generate format-specific versions

For each target format, generate optimized content: Twitter thread (5-8 tweets with hook and CTA), LinkedIn post (professional tone, 1200-2000 chars), newsletter blurb (150 words with subject line), blog summary (300 words with headings), and 3 Instagram caption options.

4. Optimize for each platform

Add platform-specific elements: relevant hashtags and keywords per platform, optimal posting times, character count checks, and tone adjustments (professional for LinkedIn, conversational for Twitter, visual for Instagram).

5. Build the content calendar

Generate a posting schedule: which format to post when, with suggested times for optimal reach. Include an A/B testing tracker to measure which repurposed formats get the best engagement.

Stack

OpenAINext.jsPostgreSQLResend API

Build This

Copy this prompt and paste it into Claude Code, OpenCode, Codex, or Cursor to build this recipe.

Build me an AI content repurposer. It should: 1) Accept content in any format: blog post URL, YouTube transcript, podcast audio transcription text, or raw text. 2) Analyze the content and extract 5-7 key insights, quotes, and statistics. 3) Generate platform-optimized versions: a Twitter/X thread (5-8 tweets), a LinkedIn post with professional tone, a newsletter blurb (150 words), a blog summary (300 words), and 3 Instagram caption options. 4) Add relevant hashtags and keywords per platform. 5) Output a content calendar suggesting when to post each format for optimal reach. 6) Include an A/B testing tracker to measure which repurposed formats perform best.

Common Failure Modes

  • !Key insights miss the original content's main point
  • !Platform-specific optimization feels generic
  • !Tone doesn't match the original creator's voice
  • !Hashtag suggestions are irrelevant

Implementation Notes

For the first use, ask the user to provide 3 examples of their preferred writing style. Use these as few-shot examples for tone matching.

Want ai content repurposer running in your business?

4M Labs can deploy ai content repurposer as a production workflow:

  • Connected to your tools and data sources
  • Secured for your team with proper access controls
  • Deployed with monitoring and error handling
  • Documented for handoff and future maintenance
Book an Implementation Sprint