How to Build an AI Content Agent With N8N and Claude

This video tutorial shows how to build a powerful AI content agent using n8n, Claude, Apify, Perplexity, and OpenRouter.

In this video, Greg Isenberg interviews James Dickerson (The Boring Marketer) and James demonstrates his AI content agent methods.

How to Build a Powerful AI Content Agent with N8N and Claude: A Helpful Step-by-Step Guide

Content creation can be a grind. Researching trends, crafting posts, and publishing across platforms eats up hours that could be better spent on strategy. What if you could automate the heavy lifting and still produce high-performing content? That’s exactly what The Boring Marketer demonstrates in a YouTube video, walking through a powerful N8N workflow that uses AI to scrape top content, generate fresh ideas, and publish polished posts —potentially saving creators 10-15 hours a week. Let’s break down this game-changing process and show you how to replicate it.

The Problem: Content Creation Drains Time and Energy

Marketers juggle endless tasks — researching what resonates, writing compelling posts, and scheduling content across platforms like LinkedIn, YouTube, and X. This manual process often leads to burnout and mediocre results. The Boring Marketer’s solution? An AI-driven workflow that automates content creation from start to finish, using N8N to orchestrate tools like Apify, Claude 3.7 Sonnet, and OpenRouter. The result is high-quality, data-backed content with minimal human effort.

The Workflow: Four Steps to Content Automation

The N8N workflow, as outlined in the video, consists of four key stages: data collection, idea generation, research and validation, and content creation. Each stage leverages AI to streamline tasks, ensuring the output is both relevant and engaging. Here’s how it works:

Step 1: Data Collection with Apify

The process starts by gathering real-world data to inform content creation. Using Apify, a versatile scraping tool, the workflow pulls top-performing YouTube videos and relevant posts from X based on a chosen topic (e.g., “N8N automation”). Apify transcribes YouTube videos and compiles X posts into a single text block, creating a rich dataset of what’s already working in your niche. This step eliminates hours of manual research by delivering a snapshot of high-engagement content.

Step 2: Idea Generation with OpenAI

Next, the workflow feeds the collected data into an OpenAI large language model (LLM) via OpenRouter, a platform that simplifies access to multiple LLMs. The AI analyzes patterns in the scraped content—hooks, formats, and themes that drive engagement—and generates fresh content ideas. These aren’t copies of existing posts but original angles tailored to your audience. For example, if the topic is N8N, the AI might suggest a LinkedIn post about “scaling marketing without hiring” with a specific hook to grab attention. This step ensures you’re not starting from a blank slate but building on proven trends.

Step 3: Research and Validation with Perplexity

To add credibility and depth, the workflow uses Perplexity (accessed through OpenRouter) to research facts, stats, and case studies. This step validates the generated ideas, ensuring they’re grounded in real-world data and free from AI “hallucinations” (false or made-up information). By pulling industry trends and actionable insights, the workflow creates content that resonates with authority. For instance, a post about automation might include stats on time saved by AI tools, making it more compelling and trustworthy.

Step 4: Content Creation and Publishing with Claude

The final stage brings everything together using Claude 3.7 Sonnet, which The Boring Marketer praises as the best writing AI available. Claude crafts a polished LinkedIn post based on the validated ideas, incorporating a strong hook, actionable insights, and a clear call to action. The workflow also generates an accompanying image using OpenAI’s image generation model, ensuring the post is visually appealing. Before publishing, the content is sent to a Google Doc and shared via Slack for a quick human review. With one click, you can approve and post directly to LinkedIn, or tweak it to match your brand voice. (Not sure if this works… Haven’t tested it yet.)

AI Content Agent - A philosopher learning to vibe code. — A philosopher learning to vibe code and use AI agents for content creation. Digital art by Doug Vos via Ideogram.

Pro Tips for Success When Building Your AI Content Agent

The Boring Marketer shares several tips to make the workflow even more effective:

Define Your Brand Voice: Instruct the AI to avoid corporate jargon, fluff, or overused AI markers like em dashes (—). Specify a confident, direct tone to keep content authentic.
Focus on Conversion Copywriting: Include prompts for strong hooks and actionable takeaways to drive engagement.
Incorporate Human Review: Always check the final output to ensure it aligns with your brand and passes the “AI detection” test. This step keeps posts feeling human-crafted.
Use Personal Photos: For platforms like LinkedIn, attach personal images from a Google Drive folder to make posts feel less AI-generated and more relatable.

Why This AI Content Agent Workflow Stands Out

Unlike basic AI prompts that churn out generic content, this workflow is data-driven and context-rich. It starts with real-world insights from top-performing posts, ensuring your content is built on what already works. The use of multiple LLMs (OpenAI for ideation, Perplexity for research, and Claude for writing) optimizes each task with the best tool available. OpenRouter simplifies this by providing a single interface to access these models, saving you from juggling multiple API keys.

The workflow also minimizes guesswork. By analyzing engagement data and validating ideas with research, it increases the likelihood of creating posts that get likes, comments, and shares. Plus, it’s flexible — you can adapt it for other platforms like X or Instagram by tweaking the output format.

Real-World Impact

The Boring Marketer emphasizes that this workflow isn’t just a time-saver; it’s a game-changer for testing content angles quickly. You can publish multiple posts, track their performance, and double down on what resonates. The human review step ensures quality control, while the automation handles repetitive tasks. As one commenter noted, the resulting posts are so polished they pass the “Turing test,” meaning they don’t feel AI-generated at all.

How to Get Started Creating Your AI Content Agent

The best part? The Boring Marketer shares the entire N8N workflow template for free. You can download the JSON file at https://templates.thevibemarketer.com/greg upload it to N8N, and start tinkering. This hands-on approach lets you customize the workflow to your niche, experiment with outputs, and optimize based on performance data.

Final Thoughts on Building Your AI Content Agent

This AI content agent, built with N8N and Claude, is a powerful tool for marketers looking to scale their efforts without sacrificing quality. By automating data collection, idea generation, research, and content creation, it frees you to focus on strategy and creativity. Whether you’re a solo creator or running an agency, this workflow can transform how you produce content. Give it a try, tweak it to fit your brand, and watch your content creation soar.

Acknowledgements

This post was created with the help of Grok, summarizing the ideas of Greg Isenberg and James Dickerson, as found in the YouTube video “I Built an AI Content Agent With N8N and Claude (Step-by-Step)“.

About Greg Isenberg

Greg Isenberg is the CEO and Co-Founder of Late Checkout, a holding company building community-based technology businesses. A serial entrepreneur and expert in internet communities, he has advised major platforms like Reddit and TikTok and hosts the top 0.1% tech podcast, The Startup Ideas Podcast. Greg shares insights on startups, AI, and audience growth through his YouTube channel and Substack newsletter, Greg’s Letter, which reaches over 100,000 subscribers. Based in Miami Beach, he’s known for his practical, no-gatekeeping approach to helping entrepreneurs build viral products and communities.

About James Dickerson

James Dickerson is a Charlotte-based entrepreneur and Co-Founder of BoringMarketing.com. Specializing in AI-driven SEO and growth marketing, he helps brands scale profitably through data-driven strategies and “SEO 2.0.” With a background from Miami University (2004-2008), James has worked with billion-dollar brands, leveraging AI workflows to automate tasks and boost efficiency. He’s recognized for his practical, results-focused approach, running marketing experiments and sharing insights via platforms like YouTube and Skool, where he has over 1.6k followers.