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I don't know what you do for a living/hobby, or what you might be interested in using ChatGPT to do for you, but here is how I became familiar with it and integrated it into my workflow. (actually, this is true for regular copilot too)

What I'm about to say is in the context of programming. I have the tendency to get caught up in some trivial functionality, thus losing focus on the overall larger and greater objective.

If I need to create some trivial functionality, I start with unit tests and a stubbed out function (defining the shape of the input). I enumerate sufficient input/output test cases to provide context for what I want the function to do.

Then I ask copilot/ChatGPT to define the function's implementation. It sometimes takes time to tune the dialog or add some edge cases to the the test cases, but more often than not copilot comes through.

Then I'm back to focusing on the original objective. This has been a game changer for me.

(Of course you should be careful about what code is generated and what it's ultimately doing.)



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