This is season eleven, episode three. In this episode, we will walk through how to create a custom GPT for customer queries. You will learn how to set up a custom GPT using OpenAI’s tools, define its scope, structure its responses, and implement rules to ensure accuracy and professionalism. By the end of this episode, you will have a clear roadmap for setting up your AI assistant and preparing it to generate accurate email drafts, chat responses, and quotation replies. So far, we have collected and structured past customer inquiries and created clean, standardized responses. Now it is time to train a custom GPT to use this data effectively. A well-trained AI assistant can reduce response time, improve consistency, and scale customer support without losing quality. Let’s go step by step on how to create a custom GPT that understands your business and communicates effectively. Step One: Setting Up a Custom GPT Using OpenAI’s Platform To create a custom GPT, we will use OpenAI’s platform. OpenAI allows you to fine-tune an AI assistant by customizing its instructions, training it with additional context, and providing a structured knowledge base. To begin: Go to OpenAI’s GPT customization page. If you do not have an OpenAI account, create one first. Click on "Create a custom GPT". This will open an interface where you can define your AI assistant’s behavior. Choose a name and purpose for your AI. Make it clear that this GPT is meant for customer support, sales inquiries, and quotation requests.

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