AI technology has evolved to a point where it is now capable of performing many tasks that were once only achievable only by human professionals - tasks like data compilation, strategy development, and content writing. What is ground breaking is that these tasks are creative, yet performed by a machine. Here, we will teach you how to guide this creative flow towards the end results you seek within your specific context.

There is a particular craft in writing a prompt. Some people compare it to spellcasting. As in, you have this great power to create things by saying the right words, but it is not as simple as just saying things. There is a reason Harry Potter went to a school teaching magic for as many years as JK Rowling cares to write books. For good results, you need to describe your wishes in a particular manner. You need to be careful, specific and clear with the prompts you give to AI. You need to provide it with sufficient context and at the same time maintain enough flexibility for it to generate creative and useful outputs.

There are particular attitudes and general principles which will go a long way in guiding you towards effective prompts.

The key to thriving in an AI-driven environment is to develop a correct understanding of AI. This correct perspective acknowledges that AI is a tool which is guided by prompts. The incorrect perspective is to anthropomorphize it - attribute to it life and human-like features. Countless movies about humanoid bots and future supercomputers lead us to acknowledge AI as a separate agent, the way we would approach a person. But this is actually a gross misconception, one that will be a huge hindrance to you mastering the tool.

To dispel the misconception, we use the metaphor that AI isn't a superhero, it's a superpower. In the sense that talking about AI without a human at the helm makes as much sense as talking about a superpower without a superhero. The hero is still us. While AI may seem autonomous, it is actually a tool under human control. It is the user, not AI, who sets the goals and navigates the path towards those objectives

However, harnessing the power of AI, like handling any superpower, can be a tricky endeavor at first. This is why it is crucial to learn and understand how to effectively wield this tool, similar to how the X-men are trained to control their abilities at the Xavier Institute. In the same way, we must understand how to give it instructions, how to nudge it to get the results we desire.

We built our own Xavier Institute for AI, where we provide you with the insights you need to to channel this superpower.. More than just generate prompts, we show you how to create a prototype of it which you can utilize as reusable, personalized tool. Learn how you can integrate AI into your work and business through hands-on prototyping and cutting-edge research at our Generative AI Masterclass.

Cost-benefit analysis: Developing a prompt and iterating through a model’s outputs takes time. So before you even start composing your prompt, there is a cost-benefits analysis you need to do in your head. If you are writing a paragraph blog post, but have half a page of context, style specifications and details to prescribe, you’ll waste more time than you will save. Generating text with AI makes sense only if you are either writing a significant amount of content, or you have much of the content already available to serve as an example, or if you are repeating a content generation process with slight variation over and over again.

The writing stage when AI can help you: You only want to turn to the assistance of a text generator when you are at a particular stage in your writing process. It's incorrect to assume that a model is useful for generating content in all use cases and scenarios. There is actually a much more limited application setting for these models.

The ideal use case is when you know what content you need, but you don’t know exactly what content you need. If you know exactly what you want to write, down to the individual sentences, and the tone, and style, don’t bother with enlisting AI into your process. The likelihood that the output of the model will be exactly what you are looking for, perfectly matching your expectations, is very low. These are indeterminable systems, unexpectability and creative freedom is what makes these models so powerful. So generating content with AI will always be a stabbing in the dark to some degree.

The opposite extreme of content awareness is equally disqualifying. If you have no idea what you want to write but you just really want to write something cool and intriguing, generative AI is not likely to give you quality. It needs guidance and context. Without these things, it cranks out generic tropes which are anything but original. It can help you explore options for original topics, but even so only if you can give it some kind of scope to brainstorm within.

So an optimal time to turn to a text generator is when you have a clear goal for the content, but you are still in the brainstorming and piecing-together stage of your writing process. You know the general direction of where you want to go with the text, but not its finest details. So for example, you wrote two thirds of a piece and you are still wondering how to finish it all off. Perfect use case because the model can riff off of your tone, your style and your general direction.Or maybe you wrote something, and you want to replicate the style but switch up the subject matter. Or you are just starting, but you know your audience, that you want to write like Ernest Hemingway, and that it will be about the suspicious passing of Dick Cheney’s heart transplant donor in 2012.

TL;DR: So, to sum things up, you want to bother engineering prompts and sifting through AI generated content only if it will save you more time than writing it yourself, and if you’re between two extremes of having no idea and knowing exactly what you want to write.