Anthropic and OpenAI are joining the AI stage at TechCrunch Disrupt 2026

Introduction

In this tutorial, you'll learn how to create a simple AI-powered chatbot using the OpenAI API - the same technology that powers many of the AI systems you see at events like TechCrunch Disrupt. This hands-on project will teach you the fundamentals of working with AI APIs, including how to set up authentication, make API requests, and process AI responses. By the end, you'll have a working chatbot that can answer questions about technology and programming concepts.

Prerequisites

Before starting this tutorial, you'll need:

• A computer with internet access
• A free account on OpenAI's platform
• Basic understanding of Python programming (variables, functions, and simple web requests)
• Python 3.6 or higher installed on your computer

Step-by-Step Instructions

Step 1: Create Your OpenAI Account and Get an API Key

Why this step matters:

OpenAI's API requires authentication to prevent misuse and ensure fair usage. Your API key acts as a password that allows your code to communicate with OpenAI's AI models.

1. Visit platform.openai.com and click "Sign up"
2. Create a new account using your email address
3. After logging in, navigate to the "API Keys" section in your account settings
4. Click "Create new secret key" and copy the generated key
5. Keep this key secure - never share it publicly or commit it to version control

Step 2: Set Up Your Development Environment

Why this step matters:

Before writing code, we need to install the required libraries that will help us communicate with OpenAI's API. The 'openai' Python library handles the complex HTTP requests for us.

1. Open your terminal or command prompt
2. Run the following command to install the OpenAI library:

   pip install openai

3. Create a new Python file called chatbot.py

Step 3: Configure Your API Key in Python

Why this step matters:

Storing your API key in your code directly is dangerous. This approach shows you how to safely store your key in an environment variable, which is a best practice for security.

1. Create a new file called .env in the same directory as your chatbot.py file
2. Add your API key to this file in the format: OPENAI_API_KEY=your_actual_api_key_here
3. Update your chatbot.py file with the following code:

   import os
   from openai import OpenAI
   from dotenv import load_dotenv
   
   # Load environment variables from .env file
   load_dotenv()
   
   # Initialize the OpenAI client with your API key
   client = OpenAI(api_key=os.getenv('OPENAI_API_KEY'))

Step 4: Create a Basic Chat Function

Why this step matters:

This function will be the core of your chatbot. It will send user questions to OpenAI's API and receive AI-generated responses.

1. Add the following function to your chatbot.py file:

   def chat_with_ai(message):
       try:
           # Send the user's message to the AI
           response = client.chat.completions.create(
               model="gpt-3.5-turbo",  # Using a fast, cost-effective model
               messages=[
                   {"role": "system", "content": "You are a helpful assistant about technology and programming."},
                   {"role": "user", "content": message}
               ],
               max_tokens=150,  # Limit response length
               temperature=0.7  # Controls randomness (0.0-1.0)
           )
           
           # Return the AI's response
           return response.choices[0].message.content.strip()
       except Exception as e:
           return f"Error: {str(e)}"

Step 5: Build the Interactive Chat Interface

Why this step matters:

This creates a user-friendly way to interact with your AI chatbot, simulating how users might engage with AI systems at events like TechCrunch Disrupt.

1. Add this code to your chatbot.py file to create the main chat loop:

   def main():
       print("AI Chatbot - Type 'quit' to exit")
       print("(This chatbot uses OpenAI's GPT-3.5 model)")
       print("=" * 50)
       
       while True:
           # Get user input
           user_input = input("\nYou: ")
           
           # Check if user wants to quit
           if user_input.lower() in ['quit', 'exit', 'bye']:
               print("AI: Goodbye! Thanks for chatting.")
               break
           
           # Get and display AI response
           ai_response = chat_with_ai(user_input)
           print(f"AI: {ai_response}")
   
   # Run the chatbot
   if __name__ == "__main__":
       main()

Step 6: Test Your Chatbot

Why this step matters:

Testing ensures your code works correctly and helps you understand how AI systems respond to different types of questions.

1. Save all your files
2. Run your chatbot with the command: python chatbot.py
3. Try asking questions like:
   • "What is artificial intelligence?"
   • "How do I learn Python programming?"
   • "What are the latest AI trends in 2026?"
4. Observe how the AI responds to different types of questions

Summary

Congratulations! You've built a working AI chatbot using OpenAI's API - the same technology that powers many of the AI demonstrations you'll see at events like TechCrunch Disrupt 2026. This tutorial taught you how to:

• Create and secure your API key
• Set up a Python environment with the OpenAI library
• Send messages to OpenAI's AI models
• Process and display AI responses
• Build an interactive chat interface

This simple chatbot demonstrates the core concepts behind how AI systems work at major tech conferences. As you continue learning, you can expand this chatbot by adding features like conversation history, different AI models, or integration with web services.

Remember to keep your API key secure and be mindful of usage limits when working with AI APIs. The technology you've learned today is the foundation for building more complex AI applications that power many of today's most exciting innovations.