Creating an AI-powered chatbot has become more accessible with the integration of OpenAI's ChatGPT and PubNub's real-time communication capabilities. Traditionally, developing chatbots involved using natural language processing tools like Dialogflow, but now developers can leverage OpenAI's large language models, which are trained on public datasets, to enhance user experiences by providing information from a broad knowledge base. The article outlines the process of building a chatbot using PubNub Functions to manage real-time messaging and context caching, enabling seamless interaction with OpenAI's API for generating responses. PubNub Functions, operating in a serverless JavaScript environment, can invoke the OpenAI API to handle and respond to messages, with the flexibility to manage conversation context through channel history. The integration of these technologies allows for the creation of dynamic, responsive chatbots capable of handling complex queries and maintaining a coherent conversation flow. The article also discusses practical considerations for configuring OpenAI API parameters and emphasizes the importance of balancing responsiveness with functionality to ensure a positive user experience.