⬅️ Prev: 2. Basic AI Prompting ****

➡️ Next: 4. Our 13 best AI prompt templates

<aside> ✉️ Sometimes, one input won’t be enough to guide your AI. For more complex use cases, where you want an output in a specific voice, style, or format, you should train the AI through a conversation, providing both general instructions and several input → output examples.

Here are use cases where this would be a good fit:

Read on to learn about how to give your AI training examples in order to accomplish more advanced prompts in the voice you want!


Advanced prompting has the same framework as basic prompting. Remember, the framework is:

  1. Summarize the general goal:
    1. E.g. Using the input, create a sentence summarizing this company’s mission. (If you have multiple inputs, say something like: I’m going to give you multiple inputs. Using them, write a summary of X.)
  2. Provide the core data
    1. E.g. This is the input(s): ___. If any inputs are empty, ignore them.
  3. Constrain creativity
    1. E.g. Keep the output <15 words, keep your tone casual, talk as if you were an acquaintance, use specific keywords, etc.
  4. Specify what the message should look like
    1. E.g. Everything should start with this prefix: “___.” Or the output should look like this: ___.

ℹ️ Example: Generative Creative Custom AI Use-Cases

In this case, we used AI to generate creative ideas for how a company could start using AI in their business in order to sell an agency’s services.


Using the input, create three bullet points of creative ideas for a company to start using AI in their processes. The ideas have to be possible with artificial intelligence.