Custom GPTs are not only as good as you want them for customer support; they can also help you extend the automation capacity for dozens of activities, such as generating content, scheduling meetings, and updating content. However, this is only effective when you build a custom GPT with your company’s proprietary data. ChatGPT’s premium version is one such option for you to build a custom GPT.

However, sooner or later, you can find some limitations only to prevent you from building improved customer relationships or stakeholder experience. 

A scalable custom GPT builder, PagerGPT, can seamlessly enhance the productivity and efficiency of your employees and boost customer experience. With PagerGPT, you don't have to manually configure all fields to construct your AI assistant or deal with lingering design issues like ChatGPT custom options.

So, if custom GPTs are a way to go for your enterprise or business-specific goals, especially for customer support, HR, or IT support, we’ll show you how easily you can build your custom GPT, enhance automation for user interactions, and solve problems at scale. 

In this blog, we’ll explore a step-by-step guide to building your custom GPT bot with PagerGPT and explain why ChatGPT’s custom GPT is not a practical solution for enterprise needs. 

In a very simple term, custom GPTs are personalized AI assistants that train on massive company proprietary datasets to generate human-like responses for business-specific questions and solve problems. 

For example, when you want to build your custom GPTs for financial services, you want your AI assistant or GPT bot to generate coherent and contextually relevant responses related to your products and solutions, which is otherwise a massive headache if you use just a pre-existing bot like ChatGPT. So, when a user asks, “How to make a withdrawal to a bank account”? Your custom GPT bot can easily give a response to this product-specific question.  

Basically, custom GPTs are a specialized version of the existing GPT model developed by OpenAI. If you want to build your custom GPT, you can use the ChatGPT enterprise version. Ask the GPT builder what you want to create and provide the prompts or manually configure. You are set to build anything from an AI interview assistant, skill development trainer, gaming coach, or any productivity tool like an image creator or code-generating tool. You can create with your data, and it’s ready to go.

GPTs usually use their existing data to surface responses through self-attention or self-learning. However, building GPT models for specific tasks requires fine-tuning language models. 

The essential inner workings of GPTs consist of a few steps, 

• Data processing using transformers: Generative Pre-trained Transformers, or GPTs, process data using their core architecture transformer, which uses deep learning to understand and generate human-like texts. 

• Self-learning through machine learning algorithms: Machine learning algorithms also help LLMs identify patterns from interactions, self-learn to adapt to different contexts of sentences, and generate human-quality sentences.

After you fine-tune your GPT model, it follows a unique process along with the existing one.

• Third-party or domain-specific data training for unique questions: Fine-tuning the LLMs involves exposing GPTs to third-party or company-proprietary data to improve understanding for accurate and contextual answers. 

• Predefined rules and instructions: LLMs are instructed and applied with predefined rules to guide their responses.

• Integration with business system: GPTs can use APIs or connectors to integrate with existing chatbots, knowledge bases, or other data resource systems.  

Pre-trained GPTs lack significant competencies to deliver business outcomes. Custom GPTs can meet enterprise needs and help leaders harness unique benefits. 

1. Multiple GPTs for different use cases

With ChatGPT’s paid versions, you can create as many GPT bots as you want, depending on your needs. You can create a support bot, an online tutor, or an email generator and toggle between them to get the right kind of support when needed. 

2. Easy response configuration

A GPT builder lets you connect to your knowledge bases and train its model to generate intended responses. There is no manual iteration of copying and pasting data and training the bot. It’s that simple. 

3. Automating customer support 

Custom GPTs are better at handling FAQ-type questions, even unique queries, and free human agents to focus on strategic work. 

4. Enhancing knowledge management 

Custom GPTs can summarize chat history, help create new responses, and update existing ITSM knowledge resources or help docs. 

5. Efficiency and automation

Your service desk can handle many questions using GPTs by automating responses and streamlining repetitive tasks. 

6. Consistent responses

Quality training data ensures communications across the customer support channels are uniform and consistent for various users. 

7. Scalability 

Whether the volume of queries increases, custom GPTs can handle the growing number of queries quite efficiently and reduce the need for extra resources. 

OpenAI’s custom GPTs offer an AI assistant builder platform on which you can launch your GPT bot by tweaking its LLMs and fine-tuning it with your company data. The GPT builder provides essential components and features to build and use your custom GPT for different use cases. 

Here are the significant requirements for building your custom GPT bot using OpenAI’s GPT builder tool. 

Prerequisites

• OpenAI account requirements

To create a custom GPT, you need an OpenAI account. Select a paid version based on your requirements to register on ChatGPT's website. The bills are paid annually, depending on usage. After registration, you can access the OpenAI APIs to create and manage your GPT bot. 

• Pricing needs 

OpenAI has three plans to help you improve productivity and efficiency. 

1. Free plan: It is suitable to ask questions and build knowledge only for small-scale projects. The free tier does not offer API access. 

2. Subscription tier: The number of tokens you use, you pay bills for that,

3. Enterprise plan: You work with custom pricing. Based on higher token usage and additional resources, you pay the bills. 

Paid versions are mandatory to build a custom GPT for your business needs. Let’s learn a step-by-step guide to creating your custom GPT with OpenAI in a brief manner. 

Build a custom GPT from scratch

Here’s a quick run over on creating your custom GPT bot using OpenAI’s ChatGPT builder. 

1. Buy plan: Buy the ChatGPT Plus plan for custom GPT creation.

2. Log into the OpenAI account: Go to chat.openai.com and log in. 

3. Explore GPTs: Find ‘Explore GPTs’ on the right-side panel.

4. Create: Explore OpenAI’s “Create a GPT” feature and click to go to the builder platform. 

5. Give instructions: Find a message bar and provide prompts or instructions to guide the builder until you achieve the desired result. 

6. Configure your custom GPT bot: Select ‘Configure’ to customize various functions and look for your AI assistant. You can provide customization instructions to set up its branding, create workflows using knowledge bases, and set up actions. 

7. Save your custom GPT: Once you are happy with the configuration and firm that you have achieved the desired goal, save your custom GPT bot. Conversely, if your bot needs changes after publishing it, click update. 

8. Share your custom GPT: OpenAI provides various options for sharing your custom GPT, including chatbots, social media channels, websites, and business communication channels. You can also share your bot by sharing the access token. 

Tailored GPTs you build with ChatGPT’s custom builder can help boost productivity and save time. You can create custom GPTs to meet your specific needs. However, some limitations of OpenAI’s custom GPT builder can become a poor experience for your business and users. 

Limited customizability 

You can implement customization to some length on OpenAI’s GPT builder platform. Since you have limited access to its core architecture, you cannot have enough control over its pre-trained model. As a result, you are unable to tailor responses to specific domains and niche areas. In addition, APIs do not support every type of use case if you want to manage enterprise workflows. 

Poor brand experience

Due to limited customization options, you would compromise on brand experience too with custom GPT on OpenAI’s platform. OpenAI does not offer much flexibility to configure various aspects of your brand’s persona. This could be a challenge in building a consistent brand experience across your stakeholders. 

Friction in customer access

It is all good till you build and deploy your custom GPT chatbot for support. The sad part is that your customers need a Plus account to access the customer support bot. This friction would lead your customers to leave your services, negatively impacting your brand. 

Integration issues  

There are challenges while integrating with ChatGPT’s GPT builder. As you have limited integration knowledge about how ChatGPT’s underlying model works, you may struggle to integrate a custom GPT bot hosted on ChatGPT into your business architecture. 

Data breach 

The OpenAI builder platform has the potential for data breaches. The links or data sources used to train the GPT model can easily be accessed by unauthorized users, exposing sensitive data to misuse. By default, OpenAI may use conversation logs from GPT deployments to upgrade its AI models. This can reveal the company’s proprietary data to the public domain. 

How do you determine that you can overcome the limitations of custom GPTs yet gain a high degree of productivity gains and efficiency for your enterprise needs? If you seek more customization flexibility, better control over your data, and elevate customer experiences, PagerGPT can help.

PagerGPT is a robust and comprehensive GPT builder platform that allows you to create your custom GPT bot with extended customization features, integration tools, and extended control over your AI model’s behavior for data sanctity and integrity. Custom GPT built with PagerGPT provides extended flexibility and better performance for response generation and problem resolution for enterprise use cases. Key features include, 

1. AI models: The PagerGPT GPT builder platform gives you a unique option to choose between GPT-4o and GPT-4o mini models. Based on your industry-specific needs, you can select the model. The advantage is you gain a straightforward approach to building custom GPT without going through all the configuration hassles you encounter with ChatGPT. 

2. Advanced fine-tuning: PagerGPT allows you to use as many as 50 million characters to train and fine-tune your model, empowering it to produce relevant and context-aware responses. 

3. Enhanced privacy and data security: PagerGPT complies with SOC2 Type 2 and ISO certifications to ensure end-to-end data security. 

4. Seamless integration: PagerGPT provides seamless integration with third-party systems, such as SharePoint, DropBox, Google Drive, and Notion, to help you enhance the accuracy and relevance of generated responses through developer APIs, allowing for extended integration and customization. 

5. Cost-effective solution: Unlike OpenAI, PagerGPT offers a competitive pricing plan that allows you to use one for high-volume usage.

With a straightforward, no-code platform like PagerGPT, you can seamlessly launch your custom GPT bot. Learn to build a custom GPT from scratch.

Let’s uncover some simple and fast steps to creating personalized GPTs without coding on PagerGPT. 

Set up an account 

To get started on your journey to create a custom GPT bot, create an account with PagerGPT and sign up. Once you are registered, you can have access to the platform’s features and components. 

Log in to your account  

After logging in, you will land on the home screen. Here, you can see ‘’get started’ button and other simple instructions to create your GPT bot.

Create your custom GPT 

After clicking on the ‘get started’ button, you can find a page that enables you to create a bot. The PagerGPT bot studio allows you to make as many bots as you require, depending on your business use cases. You can create an HR support bot, IT support bot, knowledge management bot, help doc bot, etc. 

Fine-tune your custom GPT bot 

After you create and name your bot, fine-tuning is key to ensuring effective performance and accuracy. When you click on the bot, you will be redirected to the ‘Train’ page. PagerGPT offers advanced fine-tuning options.

• Data ingestion with URLs

You can easily add Website URLs and their URLs of sub-pages to train your custom GPT bot. 

• Uploading knowledge to GPTs

You can train your bot using any document format, such as Word docs, PDFs, CSV files, Excel files, images, etc. For example, if you want to create a custom GPT for IT support, you can upload documents containing various ticket resolution notes or troubleshooting guides. 

• Small talk ingestion 

PagerGPT allows you to upload all instances of chat history or conversations as small talks to train your bot. Small talks enable your bot to identify patterns in human communication styles and collaborate engagingly. 

• App integration 

PagerGPT allows you to add third-party apps to fine-tune your underlying models and help you improve the bot's performance by enabling it to deliver accurate and relevant responses. 

Test your custom GPT bot 

After fine-tuning and customizing your GPT bot, you must test the model's response. It helps you determine its performance on accuracy and relevance. As you click ‘Test,’ you find a chat interface. Ask your question and determine if the generated responses are accurate and useful. 

 Note: If the responses generated are wrong, you need to fine-tune the model and remove glitches from its data sources. 

Deploy your custom GPT bot 

After testing is complete, you can deploy your bot anywhere you choose. PagerGPT offers multiple options, from a website to communication channels, social media, and WhatsApp. Customize your brand persona and push it to live. Let your users have the most accurate experience. 

Note: Monitor the bot performance and make tweaks when your bot responses are inaccurate. 

With PagerGPT, you can unleash the most straightforward approach to building a custom GPT bot. 

PagerGPT is an excellent GPT builder platform that is straightforward and easy to use for various enterprise use cases. By unleashing its potential, you can help many business leaders with their industry-specific functions. 

Customer support 

If you want to help your customers with specific product questions, onboarding solutions, or provide a troubleshooting guide, you can build a scalable custom GPT bot with PagerGPT to generate accurate and relevant answers and enable autonomous problem-solving seamlessly. 

Employee support 

PagerGPT is an excellent tool for automating and streamlining repetitive employee queries. A ChatGPT custom bot on PagerGPT lets your employees handle queries independently, boosting productivity. 

eCommerce support bot 

If you need help to effortlessly manage repetitive customer queries considering your eCommerce products and services, the PagerGPT custom bot helps you at scale. With multi-channel deployment, you allow your customers to connect with your service on their preferred platform and get help for cancellations, learning the status, making an online appointment, etc. 

Sales bot 

Use PagerGPT as your sales assistant bot. This bot helps you generate personalized recommendations, schedule meetings, and engage with follow-up calls. PagerGPT enables you to create a great user persona and build a positive customer relationship. 

Internal knowledge management bot 

By exposing your bot on PagerGPT, you can build a robust knowledge repository for your product pages, intranet, and website, allowing your employees to access relevant information quickly. 

Unlike OpenAI’s GPT platform, PagerGPT offers multiple benefits, including helping make custom GPT creation an easy and pleasant experience. Here is what you can achieve when using PagerGPT. 

Faster time to market

Companies that leverage custom GPT bots are more likely to gain a competitive edge. Unlike OpenAI’s GPT, PagerGPT’s intuitive interface or user-friendly interface helps your team seamlessly build a custom GPT bot without writing a single line of code. With a speedier fine-tuning process, you can develop and deploy rapidly and roll out the bot for your users to get help and solve problems. 

Faster time to value 

Deep integrations with third-party systems, URLs, and website resources make a custom GPT built with PagerGPT a reliable tool for finding accurate answers and reducing MTTR. PagerGPT helps boost the efficiency and productivity of your employees while enhancing customer experience at scale so you can quickly realize the effectiveness of the GPT for your business growth. 

Cost-effectiveness 

PagerGPT offers competitive pricing, so you can build quickly while unleashing the extraordinary potential of GPT architecture to control high-volume conversations and help your users with their problems. You can also save substantially by leveraging a no-code platform, eliminating the need to pay for hardware costs and license fees. PagerGPT further delivers cost savings by effortlessly onboarding your team members, including employees, service desk managers, and other stakeholders, and drives value realization. 

Data security 

Unlike OpenAI, PagerGPT offers robust security frameworks to comply with global regulatory guidelines and ensure end-to-end encryption to protect your data. So, with PagerGPT you use for enterprise workflows, you can seamlessly build customer trust and long-term relationships. 

Using PagerGPT to build and deploy your custom GPT within your existing systems is always a convenient and powerful way to overcome OpenAI’s challenges. As you grow, the platform is robust to scale and helps you handle volumes of queries and drive user experience.

This blog is a distinct portrayal of two different methods of creating your custom GPT bot. One uses a GPT builder tool hosted on ChatGPT, and the other is PagerGPT.  Unlike OpenAI’s custom GPT, the PagerGPT framework provides a more flexible and scalable solution for businesses looking to create AI-powered assistants.

PagerGPT is a powerful alternative to traditional custom GPT solutions that offers extended control over deep customization, data security, and autonomous problem resolution.  

Try our PagerGPT, a custom GPT builder platform, and drive digital success at your workplace. Schedule a demo today to learn more about our product and build your custom GPT.

What are the challenges of custom GPT models?

Generative Pre-trained Transformers or custom GPT models built on OpenAI’s architecture have the potential for privacy risks. They expose company proprietary data to the public domain, and they can hallucinate and produce misinformation. In addition, they limit customization flexibility.  

Are the GPT builder and traditional chatbots the same? 

No, they differ based on their capacity to generate responses and solve queries. GPT builders apply advanced LLMs and seamlessly manage nuances in human conversations to produce more context-aware responses. However, the traditional bot framework follows a rule-based logic and struggles to generate context-aware responses. 

What are the best practices for building custom GPTs? 

When looking to build your custom GPT, it is essential to be proactive about certain things—

1. Selecting a robust GPT bot builder such as PagerGPT 

2. Focussing on deep integration capabilities with the existing system 

3. Prioritizing extended customization for every aspect of user interactions

4. Ensuring data security and RBAC controls 

5. Confirming advanced analytics and performance monitoring 

What specific tasks can you do with your custom GPT bot?

Custom GPTs are best at extending the level of automation for repetitive and monotonous work. Let’s say you have to repeatedly help people with the same answer for the same question, ‘How can I  reset my password?’ You can automate this particular FAQ, including many other FAQs, and enhance the productivity of your teams. You can use custom GPTs to automate responses, manage knowledge, etc. 

How do you ensure data privacy and security?

Ensure your custom GPT bot builder ensures end-to-end data encryption, access control, and compliance with SOC 2 Type 2 and ISO certifications. PagerGPT offers SSL encryption of all plans.