Now, no matter how you use AI, and actually no matter if you use ChatGPT or Cloud or Gemini
in the browser or if you're indirectly using some of these models through GitHub Copilot
Chat or Cursor, you should know how to write good prompts.
And of course I did talk about prompt engineering earlier in this course already.
I just want to come back to this here because it really does matter and it's important
to understand that it does matter no matter how or where you're using AI.
You should always try to be specific regarding your intent, add useful context but not too
much context, don't be ambiguous, add examples if it's helpful, and consider splitting
complex tasks into multiple tasks.
There also are other techniques, I cover way more of them in my complete ChatGPT course
if you want to learn more about that, but these are the most important things you should
definitely keep in mind when writing prompts no matter where you write them.
You can of course also use advanced techniques like ask-before-answer prompting or RAG to
include extra information for the AI to use when it generates a response.
You can do all that, it's just important to know that prompt engineering matters and
that you should practice writing good prompts because good prompts will yield good results
and that's ultimately of course what you're looking for.