Creating a basic custom GPT may take only a few minutes. Creating one that remains useful, accurate, and trusted over time requires a more deliberate approach.
The most important decisions happen before and after the initial build: determining whether the task should become a GPT, defining a scope narrow enough to remain reliable, selecting trusted knowledge files, writing durable instructions, and testing how the GPT responds to the questions, ambiguities, and mistakes real users are likely to introduce. Once others begin relying on it, the GPT must also be reviewed and updated as its purpose, instructions, and source material change.
This workshop takes participants through that full process. They will turn one recurring, clearly defined task into a working no-code custom GPT, define its instructions and boundaries, ground it in a focused set of trusted files, test its behavior, and create a practical plan for sharing and maintaining it.
No development experience is required. Participants will need a paid ChatGPT plan and permission to create and share custom GPTs through their account or managed workspace. Bring one recurring, narrowly scoped task and a small, stable set of source documents that support it.
This is the final workshop in the ChatGPT series. It follows Using ChatGPT and Everyday Work with ChatGPT.