content-repurposing

Content Repurposing

Turn one piece of content into many formats via inference.sh CLI.

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login

# Generate a quote card from a blog pull-quote
infsh app run falai/flux-dev-lora --input '{
  "prompt": "minimal quote card design, dark navy background, large white quotation marks, clean sans-serif typography space, modern professional design, social media post format",
  "width": 1024,
  "height": 1024
}'

The Content Pyramid

One source piece can generate 10+ derivative assets:

            ┌──────────┐
            │ LONG-FORM │  Blog post, podcast, video, whitepaper
            │  SOURCE   │
            └─────┬─────┘
                  │
        ┌─────────┼─────────┐
        ▼         ▼         ▼
   ┌─────────┐ ┌──────┐ ┌──────────┐
   │ MEDIUM  │ │MEDIUM│ │  MEDIUM  │  Newsletter, LinkedIn, email
   │ FORMAT  │ │FORMAT│ │  FORMAT  │
   └────┬────┘ └──┬───┘ └────┬─────┘
        │         │          │
   ┌────┼────┐    │     ┌────┼────┐
   ▼    ▼    ▼    ▼     ▼    ▼    ▼
 ┌───┐┌───┐┌───┐┌───┐┌───┐┌───┐┌───┐  Tweets, quotes, audiograms,
 │   ││   ││   ││   ││   ││   ││   │  short clips, infographic tiles
 └───┘└───┘└───┘└───┘└───┘└───┘└───┘

Conversion Recipes

Blog Post -> Twitter/X Thread

Extract 5-8 key insights. One per tweet. Add hook.

Element	Rule
Hook tweet	Listicle, contrarian, or promise format
Body tweets	One insight per tweet, 280 chars max
Visual breaks	Add image every 3-4 tweets
Final tweet	CTA + "RT the first tweet if useful"

Adaptation:

• Remove nuance and caveats (threads are punchy)
• Add numbers and specifics (threads need skimmability)
• Cut academic language (threads are conversational)

# Generate a visual for the thread
infsh app run falai/flux-dev-lora --input '{
  "prompt": "clean infographic tile, single statistic 60% highlighted in large bold text, minimal dark background, data visualization style, professional",
  "width": 1024,
  "height": 1024
}'

# Post the thread
infsh app run x/post-create --input '{
  "text": "I analyzed 500 landing pages.\n\nHere are 7 patterns the top converters all share:\n\n🧵 Thread:"
}'