Introduction

In this tutorial, we'll explore how to create a local AI agent that generates Markdown eXtended (MDX) content for a Next.js application using modern features like App Router, Server Components, and data-fetching techniques. With AI-generated content, you can streamline your content creation process, improve efficiency, and enhance user experience. We'll cover the process of setting up the project, creating the AI agent, integrating it with Next.js, and generating MDX content using a Server Component.

Prerequisites

To follow this tutorial, you'll need:

• Node.js (version 16 or higher)
• Next.js (version 13 or higher)
• A code editor or IDE of your choice
• Familiarity with Next.js concepts, including App Router and Server Components

Step 1: Setting up the Project

First, let's create a new Next.js project using the create-next-app command:

pnpm create next-app@latest my-next-app --experimental-app --ts

This will create a new Next.js project with the App Router and Server Components enabled.

Step 2: Creating the AI Agent

For this tutorial, we'll use a simple AI agent that uses a prompt and response interface to generate MDX content. We'll use the axios library to make API calls to a mock AI service. Create a new file called ai-agent.ts and add the following code:

// ai-agent.ts
import axios from 'axios';
 
const ai = axios.create({
  baseURL: 'https://api.mock.ai',
});
 
export default ai;

Step 3: Integrating the AI Agent with Next.js

Next, let's create a new Server Component that will use the AI agent to generate MDX content. Create a new file called components/mdx-generator.ts and add the following code:

// components/mdx-generator.ts
import type { NextApiRequest, NextApiResponse } from 'next';
import axios from 'axios';
import ai from '../ai-agent';
import { useClient } from 'next';
 
const MDXGenerator = ({ prompt }: { prompt: string }) => {
  const [content, setContent] = useState('');
 
  useClient(() => {
    const fetchContent = async () => {
      try {
        const response = await ai.get('/generate', {
          params: {
            prompt,
          },
        });
        setContent(response.data.content);
      } catch (error) {
        console.error(error);
      }
    };
 
    fetchContent();
  });
 
  return (
    <div>
      <h1>Generated MDX Content</h1>
      <p>{content}</p>
    </div>
  );
};
 
export default MDXGenerator;

Step 4: Creating the MDX Page

Now, let's create a new page that will use the MDXGenerator Server Component to generate MDX content. Create a new file called pages/mdx-page.tsx and add the following code:

// pages/mdx-page.tsx
import { MDXGenerator, useMemo } from '../components/mdx-generator';
 
const MDXPage = () => {
  const prompt = useMemo(() => 'This is a sample prompt', []);
 
  return (
    <div>
      <h1>MDX Page</h1>
      <MDXGenerator prompt={prompt} />
    </div>
  );
};
 
export default MDXPage;

Step 5: Running the Application

Finally, let's run the application using the following command:

pnpm dev

Open your web browser and navigate to http://localhost:3000/mdx-page. You should see the generated MDX content displayed on the page.

Conclusion

In this tutorial, we've learned how to create a local AI agent that generates MDX content for a Next.js application using modern features like App Router, Server Components, and data-fetching techniques. With this tutorial, you should now be able to leverage the power of AI and Next.js to generate high-quality content for your applications.

Try it out and explore more:

• Experiment with different prompts and AI services to generate unique content.
• Integrate the AI agent with your existing Next.js application to automate content creation.
• Explore other uses of AI-generated content in your application, such as chatbots or interactive stories.

By following this tutorial, you've taken the first step towards creating a seamless and efficient content creation process for your Next.js applications. Happy coding!