OpenAI Guide: Build a Powerful AI Assistant in 30 Minutes
Nowadays AI is not only just a hot topic but became a everyday tool or a tool that every developer can access. I am going to show you how I built a simple but powerful AI assistant using Open AI , in just 30 minutes. This AI assistant will help you in writing, coding or in answering questions. This assistant can handle all this very easily.
Let’s dive in!
What You’ll Need (Prep Time: 5 minutes):
- An OpenAI account and API key
- Basic knowledge of Node.js or Python
- A terminal and code editor (like VS Code
Tip: You can sign up for OpenAI API access at https://platform.openai.com
Step 1: Set Up the Project (5 minutes):
Let’s use Node.js for this example:
mkdir ai-assistant
cd ai-assistant
npm init -y
npm install openai dotenv readline-sync
Create a .env file for your API key:
OPENAI_API_KEY=your-openai-secret-key
Step 2: Write the Code (10 minutes):
Create a main.js file:
require('dotenv').config();
const { Configuration, OpenAIApi } = require('openai');
const readlineSync = require('readline-sync');
const configuration = new Configuration({
apiKey: process.env.OPENAI_API_KEY,
});
const openai = new OpenAIApi(configuration);
async function chat() {
console.log("Hi! I’m your AI assistant. Type 'exit' to quit.\n");
while (true) {
const input = readlineSync.question("You: ");
if (input.toLowerCase() === 'exit') break;
const response = await openai.createChatCompletion({
model: "gpt-4",
messages: [{ role: "user", content: input }],
});
console.log("AI:", response.data.choices[0].message.content, "\n");
}
}
chat();
Then run the code:
node main.js
That’s it! You’ve got a working assistant.
Step 3: Test It Out (5 minutes):
Try questions like:
-
“Write a professional email for leave application.”
-
“Explain promises in JavaScript.”
-
“What are the benefits of drinking water?”
The assistant replies instantly, just like ChatGPT!
Bonus Tips (Optional):
-
Secure your API key using
.env -
Use Express.js to connect this to a front-end
-
Add memory or functions for advanced workflows
Final Thoughts:
In just 30 minutes, we’ve built a functioning AI assistant using OpenAI’s GPT-4 model. This is just the beginning—next, you can integrate it into a web app, chatbot, or even a voice-based assistant.
Want the full code on GitHub or a version with UI? Let me know in the comments!
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