MultiPlatform Content Repurposing: Complete Workflow & Guide

Transform YouTube Transcripts into LinkedIn, X, and Newsletter Content

About This Guide

This workflow transforms YouTube transcripts into multi-platform content including LinkedIn posts, X (Twitter) threads, and newsletter title ideas. It uses AI agents with custom training materials to maintain consistent brand voice across all platforms, automatically saving outputs to Airtable for content management.

Files & Documents

• n8n JSON file
• LinkedIn Agent Training Material
• X Agent Training Material
• Newsletter Agent - if you don't already have a newsletter where you can train on your best posts, I'd recommend training of a few posts from a newsletter you're aspiring to.

Why You'll Want This

• ✅ Repurpose one piece of content across three platforms simultaneously
• ✅ Maintain consistent brand voice using custom training materials
• ✅ Generate both long-form and short-form X content automatically
• ✅ Store all content drafts in Airtable for easy review and scheduling

What You'll Need To Run It

• n8n Account: To set up and manage the workflow
• OpenRouter Account: API access for Gemini
• Google Account: Access to Google Docs for training materials
• Airtable Account: For storing generated content outputs

Content Repurpose Workflow

1️⃣ Manual Trigger (Node: n8n-nodes-base.manualTrigger)

Function: Initiates the workflow when you click "Execute workflow" in n8n.

Setup:

• No configuration required
• Simply click to run after pasting your transcript

2️⃣ Edit Fields - YouTube Transcript (Node: n8n-nodes-base.set)

Function: Stores the YouTube transcript as a variable for use across all generation branches.

Setup:

• Create a field named "Youtube Transcript"
• Paste your full transcript into the value field
• This feeds into all three content generation paths simultaneously

3️⃣ LinkedIn Generation (Node: @n8n/n8n-nodes-langchain.agent)

Function: Creates multiple LinkedIn posts from the transcript using brand voice training.

Setup:

• Set "Prompt Type" to "define"
• Configure the prompt to:
  • Analyze the transcript for key topics
  • Reference training materials for voice consistency
  • Generate 3-7 posts covering different angles
• Enable the output parser for structured JSON output
• Set retry on fail with max 5 tries

Prompt Guidelines:

• Include writing style patterns (e.g., "So..." openings, lowercase tone)
• Specify formatting rules (arrows, emojis, word count targets)
• Define content themes and hook patterns
• Request JSON output with: hook, body, topic, estimated_engagement

4️⃣ X Generation (Node: @n8n/n8n-nodes-langchain.agent)

Function: Creates both long-form threads and short standalone X posts from the transcript.

Setup:

• Set "Prompt Type" to "define"
• Configure the prompt to generate two content types:
  • Long-form: 2-4 thread-starters (3-5 tweets each)
  • Short-form: 8-12 standalone posts
• Enable the output parser for structured JSON output
• Set retry on fail with max 5 tries

Prompt Guidelines:

• Adapt LinkedIn style for X's faster pace
• Maintain conversational tone and specific metrics
• Keep tweets under 280 characters
• Request JSON output with: type, content, topic, thread_count

5️⃣ Newsletter Generation (Node: @n8n/n8n-nodes-langchain.agent)

Function: Generates compelling newsletter title and subtitle combinations from the transcript.

Setup:

• Set "Prompt Type" to "define"
• Configure the prompt to create 5-7 title combinations
• Enable the output parser for structured JSON output
• Set retry on fail with max 5 tries

Prompt Guidelines:

• Create curiosity-driven titles (5-8 words)
• Include descriptive subtitles (8-15 words)
• Specify key angle and rationale for each
• Request JSON output with: title, subtitle, key_angle, rationale

6️⃣ Chat Model (Node: @n8n/n8n-nodes-langchain.lmChatOpenRouter)

Function: Provides the AI model for content generation across all three branches.

Setup:

• Select model: Claude Sonnet 4.5 (or your preferred model)
• Configure with your API credentials
• Each generation branch requires its own Chat Model node

Note: You can substitute with direct Anthropic API access if preferred.

7️⃣ Training Material Tools (Node: n8n-nodes-base.googleDocsTool)

Function: Provides reference documents so the AI can match your exact writing style and voice.

Setup:

• Set "Operation" to "get"
• Enter the URL of your Google Doc containing:
  • Writing style analysis
  • Post type taxonomy
  • Engagement patterns
  • Voice guidelines
• Connect to the relevant AI Agent node

Recommended Training Docs:

• Content analysis of your past posts
• Post type breakdown with examples
• Platform-specific adaptation strategies

8️⃣ Structured Output Parsers (Node: @n8n/n8n-nodes-langchain.outputParserStructured)

Function: Ensures AI outputs valid JSON that can be processed by downstream nodes.

Setup for LinkedIn Parser:

json

{ "type": "object", "properties": { "posts": { "type": "array", "items": { "type": "object", "properties": { "hook": { "type": "string" }, "body": { "type": "string" }, "topic": { "type": "string" }, "estimated_engagement": { "type": "string", "enum": ["low", "medium", "high"] } }, "required": ["hook", "body", "topic", "estimated_engagement"] } } }, "required": ["posts"] }

Setup for X Parser:

json

{ "type": "object", "properties": { "posts": { "type": "array", "items": { "type": "object", "properties": { "type": { "type": "string", "enum": ["long", "short"] }, "content": { "type": "string" }, "topic": { "type": "string" }, "thread_count": { "type": "number" } }, "required": ["type", "content", "topic", "thread_count"] } } }, "required": ["posts"] }

Setup for Newsletter Parser:

json

{ "type": "object", "properties": { "ideas": { "type": "array", "items": { "type": "object", "properties": { "title": { "type": "string" }, "subtitle": { "type": "string" }, "key_angle": { "type": "string" }, "rationale": { "type": "string" } }, "required": ["title", "subtitle", "key_angle", "rationale"] } } }, "required": ["ideas"] }

• Enable "Auto Fix" to handle minor JSON formatting issues

9️⃣ Split Out Nodes (Node: n8n-nodes-base.splitOut)

Function: Separates the array of generated posts into individual items for database storage.

Setup:

• LinkedIn Split: Set "Field to Split Out" to output.posts
• X Split: Set "Field to Split Out" to output.posts
• Newsletter Split: Set "Field to Split Out" to output.ideas

🔟 Airtable Storage (Node: n8n-nodes-base.airtable)

Function: Saves all generated content to Airtable tables for review and scheduling.

Setup for LinkedIn Table:

• Set "Operation" to "upsert"
• Create columns: Topic, Hook, Body, Estimated Engagement
• Map fields from the split output
• Set "Topic" as the matching column

Setup for X Table:

• Set "Operation" to "upsert"
• Create columns: Topic, Type, Content, Thread Count
• Map fields from the split output
• Set "Topic" as the matching column

Setup for Newsletter Table:

• Set "Operation" to "upsert"
• Create columns: Title, Subtitle, Key Angle, Rationale
• Map fields from the split output
• Set "Title" as the matching column

Workflow Architecture

Manual Trigger │ ▼ YouTube Transcript (Edit Fields) │ ├─────────────────┼─────────────────┐ ▼ ▼ ▼ LinkedIn Gen X Gen Newsletter Gen │ │ │ ▼ ▼ ▼ Split Out Split Out Split Out │ │ │ ▼ ▼ ▼ LinkedIn Table X Table Newsletter Table

What You Get

This workflow yields organized content ready for each platform:

• 3-7 LinkedIn posts with hooks, bodies, and engagement predictions
• 2-4 X thread starters for long-form content
• 8-12 standalone X posts for quick engagement
• 5-7 newsletter title/subtitle combinations with strategic rationale

Benefits:

• Single transcript creates weeks of content
• Consistent voice across all platforms
• Content stored and organized in Airtable
• Ready for review, editing, and scheduling

Customization Tips

To use your own voice:

Create a Google Doc analyzing 50+ of your past posts

Link this doc to each AI Agent's training material tool

To add more platforms:

Duplicate an existing generation branch

Modify the prompt for the new platform's requirements

Create a new output parser schema

Add a new Airtable table

Get Help & Support

Need guidance? Contact us:

• LinkedIn: https://www.linkedin.com/in/elliotgarreffa/
• X (Twitter): https://x.com/elliot_garreffa

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