Welcome to Season 11 of the ChatGPT Masterclass: AI Skills for Business Success. This season is all about automating customer queries using custom GPTs—helping businesses respond faster, improve customer experience, and reduce manual workload.

Instead of spending hours answering the same questions, businesses can train a custom AI assistant to handle email replies, chat support, and quotation requests with accuracy and consistency.

This podcast is made possible with AI text-to-speech technology, allowing me to efficiently share these insights while you focus on implementing them in your business.

Who Is Season 11 For?

This season is for you if:

What You Will Learn in Season 11

By the end of this season, you will know how to:

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:

This is season eleven, episode two. In this episode, we will focus on how to collect and structure past customer replies to train a custom GPT. You will learn how to gather historical email responses, identify common patterns, clean the data, and organize it into a structured format that an AI model can use. By the end of this episode, you will have a clear understanding of how to prepare your customer support data for automation.

If you want your custom GPT to generate accurate and helpful responses, it needs a strong foundation of real-world data. AI learns best when it has examples to reference. If your business has been handling customer inquiries for a while, you already have valuable training material in the form of emails, chat logs, and past responses. Instead of starting from scratch, you can use this data to make your AI assistant more effective from the beginning.

Let’s go through the step-by-step process of preparing this data for training a custom GPT.

Step One: Collecting Past Customer Replies

The first step is to gather all existing customer interactions. These could be:

To start, go through your email inbox and export past customer conversations. If you use a customer s...

This is season eleven, episode one. In this episode, we will talk about why automating customer queries with custom GPTs can save time, improve efficiency, and enhance customer experience. You will learn how a custom GPT can generate email drafts, respond to chat questions, and assist with quotation requests. By the end of this episode, you will understand the benefits of using AI for customer communication and when human input is still needed.

Many businesses spend hours each week responding to emails and customer inquiries. Questions about pricing, product specifications, and recommendations take up valuable time. Instead of answering the same questions manually, a custom GPT can draft responses based on previous email replies, product data, and structured knowledge. This does not mean removing human interaction. Instead, it allows your team to focus on more complex tasks while AI handles repetitive queries.

ChatGPT can be trained to recognize patterns in customer questions. If a potential customer asks for specifications, the AI can generate an answer based on structured product data. If they request a price quote, the AI can pull the latest pricing information and format it into a professional email. If they need help choosing the right product, the AI can analyze customer needs and recommend the best option.

There are three key reasons why businesses should consider automating customer replies. The first reason is consistency. A custom GPT ensures that every response is accurate, professional, and aligned with company guidelines. The second reason is efficiency. Instead of spending time writing individual replies, AI can generate drafts that only require minor human adjustments. The third reason is scalability. As your business grows, handling customer inquiries manually becomes overwhelming. AI allows your support system to scale without adding significant costs.

Now let’s talk about when human input is still necessary. AI works best when responding to common and structured inquiries, but complex cases still need a human touch. A well-designed AI system should include escalation rules. If the AI detects uncertainty, it can flag the request for human review. This way, businesses get the best of both worlds. AI provides fast and accurate responses, while humans handle exceptions.

Let’s summarize the key points from this episode. Automating customer queries with a custom GPT saves time, ensures consistency, and allows businesses to scale. AI can generate accurate email drafts, answer chat queries, and provide price quotes based on structured data. However, human oversight is important for handling complex situations and maintaining quality.

This is Season 10, Episode 10 – Building Your AI-Optimized Productivity System.

Throughout this season, we have explored various ways AI can enhance productivity, from automating repetitive tasks to improving decision-making. Now, in this final episode, we will bring everything together and create a structured AI-powered productivity system that seamlessly integrates AI into your daily workflow.

By the end of this episode, you will understand:

Let’s start with how to design a personalized AI productivity system.

Step 1: Define Your Productivity Goals

Before integrating AI, it is essential to clarify what you want to achieve. Different businesses and professionals have different priorities, so your AI setup should align with your specific needs.

Ask yourself:

This is Season 10, Episode 9 – AI-Powered Decision-Making – Making Smarter Choices Faster.

Making strategic decisions in business and daily life is often time-consuming and complex. AI can assist in breaking down difficult decisions, evaluating multiple options, and providing data-driven recommendations to help you make smarter choices more efficiently.

By the end of this episode, you will understand:

Let’s start with how AI can analyze data and support better decision-making.

How AI Assists in Decision-Making

AI can process large amounts of information, compare different options, and generate insights that humans might overlook. This is especially useful for entrepreneurs, managers, and professionals who need to make quick yet informed decisions.

Examples of AI-Assisted Decision-Making:

This is Season 10, Episode 8 – AI for Content Creation and Workflow Optimization.

Creating high-quality content consistently is one of the biggest challenges for businesses, marketers, and entrepreneurs. AI can help streamline the entire content creation process, from idea generation to final publishing, making it faster, more efficient, and optimized for multiple platforms.

By the end of this episode, you will understand:

Let’s start with how AI can generate high-quality written content faster.

Using AI to Generate High-Quality Written Content

AI-powered writing tools like ChatGPT can assist with brainstorming, drafting, and editing content, reducing the time spent on manual writing. However, the quality of AI-generated content depends on how well you prompt it.

How to Get Better Content from AI with Smart Prompting

Instead of using simple or vague prompts like:

*"Write a blog post about digital marketing."

This is Season 10, Episode 7 – AI-Powered Research and Information Processing.

Research can be time-consuming, whether you are gathering market insights, analyzing trends, or summarizing complex reports. AI can help process large volumes of information quickly, extracting key insights and presenting them in an organized way.

By the end of this episode, you will understand:

Let’s start with how AI can speed up research and information gathering.

Traditionally, researching a topic requires searching through multiple sources, reading long articles, and manually extracting key points. AI can do this in seconds by scanning and summarizing vast amounts of information.

For example, AI can:

Try this in ChatGPT:

This is Season 10, Episode 6 – AI for Automating Repetitive Tasks – Eliminating Time-Wasters.

Repetitive tasks can consume a significant portion of your workday, limiting the time available for high-value activities. AI can help automate many of these tasks, improving efficiency and freeing up time for strategic work.

By the end of this episode, you will understand:

Let’s start with how to identify and automate repetitive tasks using AI.

Every business has time-consuming tasks that require little creative thinking but take up valuable hours. AI can handle many of these tasks, such as responding to common emails, processing data, and generating reports.

For example, AI can:

Try this in ChatGPT:

This is Season 10, Episode 5 – AI for Meeting Optimization – Making Meetings More Effective.

Meetings are essential for collaboration, but they can also be one of the biggest productivity drains. Many meetings are too long, lack structure, or don’t result in clear action items. AI can help by optimizing meeting scheduling, generating summaries, and extracting key takeaways, making meetings shorter and more effective.

By the end of this episode, you will understand:

Let’s start with how AI-generated meeting summaries and action points improve efficiency.

Taking meeting notes can be time-consuming, and attendees often struggle to capture every key detail. AI-powered tools can automatically generate summaries and highlight important decisions, ensuring that meetings remain action-oriented.

For example, AI can:

Try this in ChatGPT: