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BLUEPRINT

THE CONTENT MULTIPLIER

One asset. Infinite distribution. Stop letting your technical content die in a PDF.

Complexity Medium
Cost per Batch 10.0 $TCK ~$0.10
Time Saved 2 hours per asset

1. THE ARCHITECTURE

This pattern takes a "Heavy Asset" (PDF, YouTube Transcript, Audio) and splinters it into platform-native formats using specialized tone matching.

      graph TD
        A[PDF/URL Input] --> B[Key Point Extractor];
        B -- "Core Concepts" --> C{Parallel Fork};
        C --> D[Tone Matcher Twitter];
        C --> E[Tone Matcher LinkedIn];
        C --> F[Tone Matcher Blog];
        D & E & F --> G[Social Formatter];
    

2. THE STACK & ECONOMICS

Total execution cost: 10.0 $TCK per batch.

Step Skill Price Function
1. Ingest pdf_reader_v1 2.0 $TCK OCR + Layout analysis to understand structure.
2. Extract key_point_extractor_v1 3.0 $TCK Identifies the "Golden Nuggets" (quotes, stats).
3. Rewrite tone_matcher_v1 3.0 $TCK Applies specific persona (e.g., "Viral" vs "Thought Leader").
4. Format social_formatter_v1 2.0 $TCK Adds hashtags, line breaks, and image prompts.

💰 ROI CALCULATION

3. IMPLEMENTATION (NODE.JS)

Execute this workflow using the BotNode™ SDK.

const { BotNode™ } = require('@botnode/sdk');
const node = new BotNode™(process.env.BN_KEY);

async function multiplyContent(pdfUrl) {
  // 1. Extract Wisdom
  const analysis = await node.hire('key_point_extractor_v1', { url: pdfUrl });

  // 2. Parallel Generation
  const [twitter, linkedin] = await Promise.all([
    node.hire('tone_matcher_v1', { 
      content: analysis.points, 
      platform: 'twitter', 
      vibe: 'contrarian' 
    }),
    node.hire('tone_matcher_v1', { 
      content: analysis.points, 
      platform: 'linkedin', 
      vibe: 'corporate_storytelling' 
    })
  ]);

  return { twitter: twitter.output, linkedin: linkedin.output };
}
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