Some versions of ChatGPT let you build custom GPTs—purpose-built versions of ChatGPT designed for a specific task or workflow. Instead of starting from a blank chat each time, a custom GPT can follow your preferred format, use your team’s context, and produce more consistent outputs—whether you’re drafting content, analyzing recurring datasets, generating visuals, or answering common questions.

Custom GPTs are powered by tailored instructions that define how the GPT behaves. You can also add knowledge (files you upload) and enable tools (such as web search, data analysis, or connected actions). The result: less re-explaining, less copy/pasting, and fewer “wait—what’s the context again?” moments.

A regular chat is well-suited for quick, one-off tasks—brainstorming ideas, quick rewrites, or answering a question in the moment.

A custom GPT is a better fit when you need something repeatable and consistent. For example:

If you find yourself reusing the same prompt, re-uploading the same files, or rewriting the same instructions for teammates—it may be time to build a custom GPT.

Good GPTs usually begin with a simple, repeatable need. Focus on workflows that occur regularly—such as drafting the same type of message, summarizing recurring meetings, answering common questions, or turning raw data into a consistent weekly report.

Example use cases:

To get started, open GPTs from the ChatGPT sidebar, then select Create to open the GPT builder.

When you open the GPT builder, you will see two tabs: Create and Configure. In the Create tab, you can message the GPT Builder to help you build a new GPT. You can say something like, "Make a creative who helps generate visuals for new products" or "Make a software engineer who helps format my code." Defining clear objectives ensures your GPT stays focused and relevant.

If you want to define the details of your GPT more precisely, go to the Configure tab and complete the required fields:

Writing instructions is often the most challenging step, as it requires translating your goals into clear, actionable guidance the GPT can follow. A simple way to move faster is to ask ChatGPT to draft a first version, then refine it based on real examples.

Before sharing your GPT⁠(opens in a new window), it is important to check that it works as expected. You can do this with evals, a simple way to assess its outputs.

Set up your evaluation:

Tip: When making changes, don’t forget to click “Update” in the top right to save them. It’s easy to miss, especially when you’re returning to reconfigure an existing GPT.

Building a custom GPT doesn’t have to be complex. Start with a workflow you already repeat, draft a first version of the instructions, and test it with a small set of examples. You’ll learn quickly what to adjust—and small refinements usually make a big difference. Once it feels reliable, share it with your team so everyone can get to the same quality output faster, with less effort.