How I Used AI System to Turn One Newsletter Into 10+ Social-Ready Pieces Without Losing My Voice

And without adding more work.

Important: This workflow is designed for people who regularly publish long-form content (newsletters, blog posts, etc.) and need efficient distribution across platforms. If you don't publish long-form content yet, you can also use this for research and project management work.

Now, let's get into it!

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The reason I started my newsletter on Substack was because I love pouring my thoughts into long-form content. If you're hanging out here, I assume you love writing too.

But here's the problem that's been eating at me for months:

I spend 8-12 hours creating each newsletter post. Then I face the same choice every week: let that work live only in subscriber inboxes, or spend another 6+ hours manually repurposing it for social platforms—usually losing the original context and frameworks that made it valuable.

Meanwhile, I need to consistently show up on LinkedIn and Substack Notes to expose my newsletter to thousands of potential subscribers—without sacrificing quality.

But manual content repurposing feels like starting over. You lose the context, dilute the frameworks, and end up with generic social posts that don't represent your best thinking.

The math doesn't work. I can either:

• Create one great newsletter per week, OR

• Spend my time copying and pasting quotes into social posts.

I refused to accept this trade-off.

So I built what I call my "AI Content Repurposing Workflow" using Firecrawl and Notion MCP. One newsletter post now automatically becomes 10+ platform-specific pieces and is organized in my Notion database without losing the original frameworks that made the content valuable

If you don't know what MCP (Model Context Protocol) is, you might want to visit my guide right here.

I've been running this system for 3 months. It's saved me 6+ hours every week while actually improving my social content quality because the system preserves context that I used to lose in manual copying.

By the end of this post, you'll have the exact technical setup and step-by-step process to expand your content reach without compromising your work.

Let's dive in.

Why most content repurposing fails

I used to think content repurposing meant copying my best newsletter quotes and pasting them into LinkedIn posts.

The results were embarrassing.

My frameworks that worked great in long-form became fragmented social posts that made no sense. Context disappeared. The "why" behind my insights got lost. Readers would comment asking for clarification on concepts I'd already explained thoroughly in the original piece.

This was when I realized the problem with my approach.

Most content repurposing fails because we treat it like a copy-paste job instead of a translation job. You're not just moving text between platforms. You're preserving the thinking that made your original content valuable while repurposing it for different consumption patterns.

The three principles of effective content repurposing

I've identified three principles that make effective content repurposing:

1. Context preservation

Your original content works because it builds understanding step-by-step. When you extract pieces for social media, you need to carry enough context so the insight still makes sense standalone.

Manual approach: "AI doesn't replace thinking—it amplifies it."

Context-preserved: "After 3 months testing AI workflows, I learned: AI doesn't replace thinking—it amplifies whatever thinking you bring to it. Clear thinking → Clear results. Fuzzy thinking → Fuzzy results."

2. Platform-native adaptation

Each platform has different attention patterns and consumption habits. LinkedIn readers want frameworks they can apply at work. Substack note readers want thoughtful insights that spark new ideas or connections.

The same core insight needs different packaging:

• Newsletter: 2000-word deep dive with examples

• LinkedIn: Framework breakdown with actionable lessons

• Substack Note: Thoughtful insight that sparks connections

3. Voice consistency

Your audience follows you for how you think, not just what you know. Effective repurposing maintains your unique perspective and communication style across all formats.

My AI Content Repurposing Workflow handles all three principles automatically.

Instead of manually trying to remember context, adapt for platforms, and maintain voice, the system preserves these elements through the technical setup I'm about to show you.

The content repurposing workflow

A note on automation: This workflow is semi-automatic—you still need to actively use Claude Desktop for each repurposing session. In my next guide, I'll show you how to fully automate this entire process using AI agents that run without your intervention. But master this foundation first; the automation builds on these exact principles.

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I've simplified this into a three-step automated process. Once set up, you'll just paste a URL and watch your content appear organized in your Notion database under 5 minutes.

Step 1: Create your AI content repurposing engine

Create a new Claude Project:

1. Open Claude Desktop

2. Click "New Project"

3. Name it "Content Repurposing Engine"

4. In Project Knowledge, go to custom instruction

Copy this Master Prompt into your Project Knowledge: