What problem does this n8n automation solve?

This automation eliminates the manual work of repurposing blog content for multiple social platforms. Instead of rewriting posts separately for LinkedIn, X, and Reddit, the system generates platform-specific drafts automatically, saving time and reducing creative fatigue.

How does the n8n content repurposing workflow work?

The workflow monitors a website RSS feed for new blog posts. When a post is published, n8n triggers AI agents that read the article and generate formatted drafts tailored to each social platform. The drafts are delivered to a Notion dashboard for manual review before posting.

Does this system automatically post content to social media?

No. The workflow intentionally stops at draft creation. Nothing is posted automatically. This ensures brand voice, tone, and context remain under human control while automation handles repetitive formatting and rewriting.

What AI models are used in this workflow?

The workflow uses multiple AI agents, each trained on a specific platform style. One agent writes for LinkedIn, one for X (Twitter), and one for Reddit. Each agent interprets the same source content differently based on platform norms. The specific model can be swapped depending on preference or availability.

Why use n8n instead of Zapier or Make?

n8n provides full visibility and control over the workflow logic. Unlike Zapier or Make, n8n is self-hostable, more cost-effective at scale, and does not lock key functionality behind pricing tiers. The tradeoff is a higher technical learning curve.

Is this workflow suitable for businesses or just creators?

It works for both. Creators benefit from reduced posting overhead. Businesses benefit from consistent distribution without hiring additional staff or agencies for basic repurposing. The workflow scales well for SaaS teams, AI startups, and founders producing long-form content.

Do I need a blog or website for this to work?

A website with long-form content makes the workflow easiest to implement. If you do not have a blog, the workflow can be modified to pull from documents, knowledge bases, or internal notes instead of RSS.

Is this considered AI-generated content spam?

No. The system does not generate low-quality or mass-posted content. It produces drafts that are reviewed and edited by a human before publishing. Automation is used for efficiency, not replacement of authorship.

How long does it take to set up this workflow?

Initial setup can take several hours depending on familiarity with n8n and AI agent configuration. Once built, ongoing maintenance is minimal, and content distribution becomes largely hands-off.

Can this workflow be reused or customized?

Yes. The workflow can be duplicated and adapted for different brands, voices, platforms, or content types. Prompts, agents, and destinations can all be adjusted without rebuilding the system from scratch.

I Fired Myself as a Social Media Manager

For most of this year, my biggest bottleneck was not ideas.

It was distribution.

I enjoy writing long-form strategy pieces that explain how systems actually work. What I do not enjoy is the administrative work required to manually repurpose that thinking for LinkedIn, X, and Reddit every time a new article goes live.

Copying. Reformatting. Rewriting. Scheduling.

That friction slowly drains creative energy away from the work that matters most.

So I built a system to remove myself from the loop.

Not from judgment. From busy work.

The Problem: Manual Content Repurposing Creates Cognitive Debt

Posting consistently across platforms sounds simple until you do it at scale.

Each platform rewards a different structure.
Each platform expects a different tone.
Each platform requires manual formatting.

The result is not just lost time. It is fragmented attention.

Over weeks and months, that fragmentation compounds into creative fatigue. Ironically, the more valuable your long-form content becomes, the harder it is to distribute efficiently.

That is the bottleneck most creators and founders never fix.

The Experiment: Automating Distribution Without Losing Control

I have built this workflow multiple times across different automation platforms. Each solved part of the problem, but introduced new constraints.

The comparison below explains why n8n became the final choice.

Platform	Strengths	Limitations
Zapier	Fast to set up, beginner friendly	Becomes expensive at scale, limited transparency
Make	More flexible, lower cost initially	Key nodes and logic gated behind pricing tiers
n8n	Full control, transparent logic, self-hostable	More technical, higher initial learning curve

n8n required more effort up front, but it allowed me to fully understand and own the system. I was not clicking together abstractions. I was designing a workflow I could extend and trust.

That tradeoff was worth it.

A Glass Box Look at the System

This is the exact automation running inside Lopez Productions.

Trigger

A new blog post goes live on my website via RSS.

Logic Layer

An n8n workflow detects the update instantly.

Agent Layer

Three AI agents read the same post:

One trained on my LinkedIn voice
One optimized for X (Twitter) thread structure
One designed for Reddit-style discussion and framing

Each agent interprets the content based on platform norms, not generic summarization.

Output

Before I close the website tab, three formatted drafts appear in my Notion dashboard.

Nothing is posted automatically.

The actual n8n workflow showing RSS trigger, AI agent routing, and Notion output

Why This Is Not AI Slop

Automation does not replace judgment.

This system intentionally stops before publishing. Every draft still goes through manual review, edits, and scheduling.

The automation handles distribution mechanics. I retain authorship, voice, and intent.

What changed is the time cost.

One hour of manual repurposing is now a few seconds of compute, followed by a focused review.

That is leverage.

The Real Outcome: Reclaimed Creative Bandwidth

Once the first week of written content was prepared across LinkedIn, Reddit, and X, the impact became obvious.

I finally had time to focus on video.

Despite having the technical skills, video had always fallen behind because text-based distribution quietly consumed most of my bandwidth.

Batching drafts directly from blog content removed that pressure.

Less burnout. More creation.

Platform-specific drafts delivered to Notion for review and scheduling

Who This Workflow Is For

If you already publish long-form content on a website, this workflow can be adapted by plugging in your credentials and adjusting prompts.

If you do not yet have a content base, the same logic applies, but the upstream inputs need modification.

The principle remains consistent:

Humans do the thinking.
Systems handle repetition.

What Comes Next

This system removed distribution as a limiting factor in my work.

If you are a founder, creator, or AI startup struggling to maintain consistent multi-platform posting and want to understand how n8n can reduce that load without sacrificing quality, I am happy to share more.

You can reach me at: info@lopezproductions.ai

This is not about posting more content.

It is about building systems that let you think better.