Custom GPTs work best when you turn tasks into steps.
A clear sequence removes ambiguity and gives the model something solid to follow.
Start with a workflow you do often.
Break it into 3–7 actions in the order they naturally occur.
Name each action so the GPT understands the purpose of the step.
This structure helps the model stay focused.
It also makes the output easier to test, improve, and reuse.
When you think in procedures, you give the GPT a clear path instead of a wide field.