Build a Content Creator Agent with n8n Using No-Code

Imagine having a personal assistant that handles your tasks and creates content effortlessly. Building an AI agent might seem complex, but with n8n, anyone can do it – no coding needed! This no-code, low-code platform comes with built-in tools, smooth OpenAI integration, and ready-to-use templates, making agent building simple. You don’t need to be a tech expert to get started. In this blog, we’ll explore its key features and guide you in creating a social content creator agent – without writing a single line of code. Get ready to streamline your workflow and boost productivity with n8n!

What is n8n?

n8n is an open-source agent building and workflow automation tool that simplifies the integration of various applications and automates agentic workflows with ease. Unlike other automation tools, n8n offers flexibility with self-hosting, eliminating vendor lock-in. As a no-code/low-code platform, it empowers even non-developers to build powerful automation pipelines effortlessly.

One of n8n’s key advantages is its AI-powered capabilities, seamlessly integrating with APIs like OpenAI, Gemini, and Claude for dynamic content generation. Additionally, n8n provides AI generators and pre-made templates for quickly building AI agents, making automation more accessible, efficient, and scalable for businesses and creators alike.

Key Features of n8n

n8n is packed with features that make workflow automation simple and efficient:

• Agentic Capabilities: n8n enables the creation of AI-driven agents that can autonomously execute tasks, generate content, and optimize workflows with minimal human intervention.
• AI Generators & Pre-Made Templates: Quickly build AI agents with ready-to-use automation templates and AI-powered content generation tools.
• No-Code and Low-Code Interface: Users can visually build workflows without needing extensive coding knowledge.
• 150+ Pre-Built Integrations: Connects with Google Sheets, Gmail, OpenAI, Tavily Search, and many other services to facilitate smooth workflows.
• Conditional Logic and Data Manipulation: Enables sophisticated automation by establishing conditions, filtering, and data manipulation.
• Scalability and Self-Hosting: Users can host n8n on their systems for enhanced control and security
• Parallel Execution: Users can execute multiple automation tasks in parallel, increasing efficiency.

Also Read: Build No-Code AI Agents on Your Phone for Free with the Replit Mobile App!

Building an AI Agent Using n8n

Now that you are familiar with n8n and its key features, let’s explore how it can be used to build an AI agent with no-code/low-code. By leveraging n8n’s automation capabilities, AI integrations, and pre-built templates, we can create intelligent workflows that generate content, optimize tasks, and enhance efficiency.

Let’s dive into a hands-on automation solution to solve the following problem statement using n8n’s AI-powered workflow automation. 

Problem Statement

The digital content ecosystem is changing at a fast pace. To remain relevant, individuals and companies need to create high-quality content promptly, particularly on popular subjects. However, researching, writing, and optimizing content for various platforms (LinkedIn, X, blogs) manually takes time.

With trending subjects picking up steam within a matter of hours, the early birds are sure winners. To ride the waves of such trends, an automated tool must be there to retrieve pertinent information, create compelling content, and post it quickly.

Building AI Agents for Content Creation with n8n

To meet this challenge, I created a workflow using n8n that automates content creation with the help of AI tools. Here’s how it is done:

This workflow automates content creation by fetching topics from Google Sheets, conducting research with Tavily Search, processing the data, generating content using OpenAI, and updating the sheet.

Before we dive into the hands-on implementation, you will need some API keys to build your agent in n8n. Let’s see how to obtain them.

How to Access API Keys?

• Tavily Search APIKey:
  • Visit Tavily’s Website
  • Sign Up for an Account
  • Find your API key and go to the Dashboard or Overview page.

• OpenAI API Key:
  • Go to OpenAI.
  • Sign Up or Log In
  • Navigate to the Dashboard.
  • Look for the option  API Keys.
  • Click Create New API Key or a similar button.
  • Copy the API key immediately, as you won’t be able to see it again.
  • Start Using the API

Let’s Get Started by Signing in to n8n

Now, let’s dive into the detailed, hands-on implementation of this workflow step by step. Let’s get started by signing in to n8n:

• Visit n8n’s Website
• Click on Get started to sign up or click on Login
• After signing in, go to the n8n Cloud Dashboard.
• Click on Create New Workflow to start automating tasks.

On n8n, workflows are built using ‘nodes’. Nodes are the building blocks for a workflow that performs a range of actions. Here’s how you start working with nodes on n8n.

• Click the “+” Icon
  • Locate the “+” button in the workflow editor (usually found at the center or where you want to add a new node).
  • Click on it to open the node selection panel.

• Browse or search for a node.
  • A pop-up window will appear with various node options.
  • Scroll through the list or use the search bar to find a specific node (e.g., Gmail, OpenAI, Google Sheets).
  • Click on the desired node to add it to your workflow.
  • Configure the node.
  • Fill in the required settings, such as authentication credentials, input parameters, and API keys.

While following the steps, I suggest you refer to the workflow image for better understanding.

Note:

• To add a new node, use the “+” icon appearing on the previous node to connect the nodes automatically.
• Each node will be connected to the next node.
• Run each node before moving to the next one using the ‘Test Step’ function that appears on top of each node.

Step 1: Google Sheets Integration

Create a New Google Sheet

• Open Google Sheets and create a new spreadsheet.
• Name it “Content Hub” for easy reference.

Add Column Headers

In Row 1, add the following labels to structure your content:

1. Campaign – Name of the campaign or project (e.g., Product Launch, Awareness, etc.).
2. Content Topic – The specific topic for the content piece.
3. Target Audience – The intended audience (e.g., marketers, developers, students).
4. LinkedIn Content – Draft or idea for LinkedIn post.
5. X Content – Draft or idea for an X (Twitter) post.
6. Blog Content – Draft or idea for a full-length blog post.

Input Initial Content Ideas

Start by filling in only the following columns:

• Campaign – Name of the campaign (e.g., Product Launch, SEO Strategy).
• Content Topic – The specific topic for the content (e.g., “AI Trends in 2025”).
• Target Audience – The intended audience (e.g., Tech Enthusiasts, Marketers).

Enable Automation:

• Add the Google Sheets Node in n8n.
• Add Google Sheets Credentials.
  • Select the target Google Sheet from the document and the sheet as well. You can see the options in the screenshot below.

This sheet serves as a structured way to store and update content ideas:

Step 2: Fetching Content Topics and Target Audience

• Add a Set Node to Process the Data
  • Click Add Node → Search for Edit Fields Set and select it.
  • In the Set Node, click Add Field 
  • To get the Content Topic, enter:
    • name=” query” (Fixed)
    • value={{ $json[‘Content Topic’] }} (expressions)
  • To get the Target Audience, enter:
    • name=”targetAudience” (Fixed)
    • value={{ $json[‘Target Audience’] }} (expressions)

Step 3: Tavily Search for Data Extraction

To gather insights on the given topic, integrate Tavily Search, which fetches relevant data from the web. This ensures the generated content is fresh, factual, and based on the latest information.

• Add the HTTP REQUEST Node
• In the Method Field, select “POST”
• Use this URL https://api.tavily.com/search for Tavily search
• Enable Send Body
• And in Specify Body, choose Using JSON
• Configure API Credentials
  • Use the Tavily Search Node with the following API setup:

{

    "api_key": "YOUR TAVILY API KEY HERE",

    "query": "{{ $json.query.replace(/"/g, '\\"') }}",

    "search_depth": "basic",

    "include_answer": true,

    "topic": "news",

    "include_raw_content": true,

    "max_results": 3

}

Step 4: Splitting and Aggregating Data

Use Split Out Node to extract content and divide it into smaller, meaningful segments.

• The segmented data from SplitOut is passed to the Aggregator Node.

Split Out Node 

• In the Field to Split Out  type “results”

Aggregator Node

The Aggregator Node combines the structured insights into a unified format.

• In the Aggregate field, select “All Item Data”
• In the Include field, select “Specified Field”
• In Fields To Include, type “title, raw_content” 

Step 5: Using OpenAI LLMs for Multi-Platform Content Generation

Use three different OpenAI-powered LLMs, each specialized for a specific platform:

• Search for the AI Agent Node
• Connect it to a Chat Model (eg, gpt-4o-mini)
  • Ensure your API key is set up as per the earlier steps.
• How to configure your chat model in n8n:
  • Add an OpenAI Node (or Other Chat Model Node)
  • In the OpenAI Node Settings, find the API Key field.
  • Click on Add Credential → Choose OpenAI API.
  • Paste your OpenAI API Key from your dashboard.
  • Click Save.
  • Configure the Model Type (e.g., gpt-4o-mini).

• In AI Agent Node, change the Source for Prompt (User Message) field to Define below.
  • Use the following prompt:
    • Article Content:
    • {{ $json.data.toJsonString() }}
    • Target Audience:
    • {{ $(‘Set Search Fields’).item.json.targetAudience }}
• Define the System Prompt
  • Provide examples of high-quality, platform-specific content.

Example System Prompt for Content Generation:

For example, system prompts for content generation on LinkedIn, X, and blogs. Explore this link. You can directly use these prompts in your n8n workflow to automate high-quality content creation.

• LinkedIn LLM: Generates professional and insightful posts tailored for LinkedIn audiences.

• X LLM: Creates concise and engaging tweets optimized for Twitter/X.

• Blog LLM: Produces in-depth articles for blogs.

Step 6: Updating Google Sheets

• Add a Google Sheets -> Update Row node and select Update Row as the operation.
• In the Column to match on select Campaign.
• Add the Following Expressions in Values to Update
  • Campaign (using to match)= {{ $(‘Google Sheets Trigger’).item.json.Campaign }}
  • LinkedIn= {{ $(‘LinkedIn’).item.json.output }}
  • X= {{ $(‘X’).item.json.output }}
  • Blog= {{ $(‘Blog Writer’).item.json.output }}

• Execute the Workflow
  • Test the setup to ensure the content is correctly updated in Google Sheets:

My Review of Building an AI Agent with n8n

Building this automation was an eye-opener. Here are some key takeaways from my experience:

• No Need to Write Lines of Code: The best part of n8n is that you don’t have to be a coder to build powerful AI-driven workflows.
• To Understand How Things Work: If you have little knowledge about how different components interact, you can easily create your AI-powered agent.
• Take advantage of n8n Assistant (By Nskha) – ChatGPT:  You can utilize the unofficial ChatGPT integration of n8n to support building and refining your workflows effectively.
• Efficiency Boost:  What used to take hours is now done in minutes, automated.
• Customizable & Scalable: The workflow can be modified to support more platforms or integrate additional research tools.
• Accurate & Timely Content: Using Tavily Search ensures the content is based on real-time information, reducing the chances of outdated or inaccurate data.

Also Read: 7 Steps to Build an AI Agent with No Code

Applications of n8n

This workflow can be extended beyond content creation. Some potential use cases include:

Automating Market Research Reports

Aggregates and interprets data from multiple sources to generate accurate reports, leveraging AI to derive significant insights and identify market trends efficiently. It automates the report generation process to reduce manual effort and ensure timely delivery.

Generating AI-powered Email Campaigns

Automates the creation of personalized email content using AI to enhance engagement, targeting audiences based on behavior and preferences for effective marketing. It optimizes subject lines and delivery timing to maximize open rates and conversions.

Creating Personalized Newsletter

Leverages AI to personalize content based on users’ interests and preferences, automating the design, formatting, and distribution of newsletters for greater efficiency. It enhances audience engagement with dynamic, personalized recommendations.

Also Read: How to Create Your Personalized News Digest Using AI Agents?

Summarizing Trends for Social Media Managers

Gathers real-time information from social media, blogs, and news sites, utilizing AI to summarize key insights and trending topics. It helps managers create timely, data-driven content to boost audience engagement.

Also Read: A Hands-On Guide to Crafting Social Media with LLAMA 2 AI

Conclusion

With the rapid digital age of the present, automation is no longer a luxury but a requirement. Whether it is optimizing content generation, business operations, or easily integrating several tools, n8n has the versatility and potential to automate with ease. Its no-code/low-code platform enables developers and non-technical users to develop strong automation pipelines with ease. With n8n, you can maximize time, eliminate human labor, and focus on value-added processes and remain efficient as well as precise. As an entrepreneur, marketing professional, business analyst, or business owner, process automation via n8n helps you to remain productive as well as keep the competition behind. So, get started and try it out today!

If you want to learn how to build AI Agent on your own then take up this free course – Anyone can build AI Agents!

Frequently Asked Questions

Soumil Jain

Data Scientist | AWS Certified Solutions Architect | AI & ML Innovator

As a Data Scientist at Analytics Vidhya, I specialize in Machine Learning, Deep Learning, and AI-driven solutions, leveraging NLP, computer vision, and cloud technologies to build scalable applications.

With a B.Tech in Computer Science (Data Science) from VIT and certifications like AWS Certified Solutions Architect and TensorFlow, my work spans Generative AI, Anomaly Detection, Fake News Detection, and Emotion Recognition. Passionate about innovation, I strive to develop intelligent systems that shape the future of AI.