Custom GPTs guide: how to build your own ChatGPT

OpenAI's new guide demystifies the process of creating custom GPTs, emphasizing that they are best for repeatable tasks rather than one-off questions. The guide positions them as a tool for teams to maintain consistent quality without restating instructions, which could be useful for business users who handle recurring workflows like drafting messages or summarizing meetings.

The guide walks through a clear process: identify a strong use case, create the GPT using either the Create or Configure tabs, and test its performance with evals—a method of writing 10 to 15 questions with correct answers to assess accuracy. It highlights that writing instructions is often the most challenging step and suggests asking ChatGPT to draft a first version, then refining it based on real examples.

The stakes likely hinge on whether users can translate their routine work into clear instructions. If the builder proves intuitive enough, teams could reduce repetitive tasks and maintain consistent outputs with minimal effort. However, the guide's emphasis on testing suggests that quality depends on careful setup and iteration before sharing with a team.