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Table of Content

Why you’d want to train ChatGPT on your data? Method 1:How to build your own custom ChatGPT

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How to train ChatGPT on your own data: step-by-step guide

How to train ChatGPT on your own data: step-by-step guide

Keren Dona

8th December 2025

ChatGPT has strong general-purpose language understanding, but it lacks specific knowledge about your business, product, or internal knowledge base.

To obtain accurate customer support replies, knowledge retrieval, or streamline internal workflows with ChatGPT, it is essential to provide it with your data. This guide outlines the process for doing so.

Why you’d want to train ChatGPT on your data?

  • ChatGPT's training incorporates public data but does not include proprietary documents, internal structures, or specific business contexts.
  • By providing access to your data, such as documentation and customer records, you can turn it into a trusted expert assistant in your field.
  • ChatGPT will provide responses based on real, up-to-date information, enhancing accuracy, consistency, and usefulness.

With that in mind, below are two main ways you can train ChatGPT on your data and how to implement them.

How to build your own custom ChatGPT Method 1

How to use ChatGPT custom instructions

Custom instructions enable users on both free and paid plans to provide ChatGPT with background information and dictate response formatting preferences.

For instance, you work in customer support agent who uses ChatGPT to draft consistent, on-brand replies to customer queries. You can inform ChatGPT about your role, the customers you assist, and your company’s communication standards. You can instruct it to respond in alignment with your organization’s brand.

Step to add custom instructions to ChatGPT:

  • Open ChatGPT, click your profile
  • Click Personalization
  • Click the toggle next to enable customization in the pop-up that appears
  • Using the Custom instructions field, enter directives for response generation. For instance, to provide more context you may have to define the role and specify your writing style and tone which ensure that the response reflects your voice. Also, it is important to add details of what not to do like using overlay technical language and making assumptions about the customer’s setup.
  • Optionally, you can edit these fields: about you, memory, and advanced
  • Click Save

How to build your own custom ChatGPT Method 2

OpenAI's GPT builder addresses the limitations of custom instructions by allowing for more expansive functionality beyond a user's individual workspace, including the ability to share these instructions. With it, you can create multiple custom chatbots that you can share with others. You can upload knowledge files to your GPT, providing persistent context without needing to paste the same resources in every conversation.

Here’s a short version of how to use the GPT builder. Access to GPTs is available for free plan users, but creating a custom GPT is limited to paid plan users.

  • Go to https://chatgpt.com/gpts
  • Click Create in the top-right corner.
  • To achieve desired results, enter directives in the message box on the Create page and interact with the GPT builder.
  • Click Configure to add advanced customizations to your GPT. For instance, changing the chatbot's name, refining instructions, uploading knowledge files, and setting up actions are all possible modifications.
  • Click Create and select how you want to share your custom GPT.
  • Click update

ChatGPT and custom GPTs will be displayed in the side panel of the ChatGPT home page. Select the GPT you want to use and interact with it the way you normally would.

For more info on easy automation solutions visit Klamp Embed & Klamp Connectors

KD

Keren Dona

Content Writer at Klamp

Writing about SaaS integrations, workflow automation, and embedded iPaaS.