I recently used GPT-J to create some handouts (fake 1930's newspaper articles) for a roleplaying game. I wrote a headline and byline, then have the model suggest some text. I change the text to include the details I want the players to have + enforce consistency, then reuse the text-so-far as a prompt, and repeat.

I definitely cranked out the newspaper text much faster than I would have on my own, and the model actually made some really nice embellishments and added a couple ideas that I kept in the final text.

It's a funny question, like asking how to write a book with a computer, but perfectly valid.

You can access GPT-3 directly now. There's no waitlist, but there still are restrictions. There's some examples here: https://beta.openai.com/examples

You don't even need the API. Once you get access, it comes with access to the playground, which is enough to do anything you like.

If you look at the examples, it's very "no code". You literally tell the AI what you're trying to do and it tries its best. Most of the work in prompt engineering is writing something that can't be misunderstood. But you just have to explain to it what you want like you would to a child.

There is an API for GPT-3.

GitHub copilot uses Codex, a descendent of GPT-3.