You’ve probably typed something like “astronaut floating in space” into your favorite AI art tool a dozen times—and gotten a dozen variations of the same silver-suited space guy in a starry void. But what if you could use that same idea and completely transform the style of the output?

Why creatives should stop shunning AI and start collaborating with it—because agencies already are.

Being a prompt engineer doesn’t mean you spend your days in a lab wearing a white coat and whispering sweet nothings to a chatbot (although, let’s be honest, sometimes it does). It means you use smart tools that make you faster, sharper, and better at coaxing useful, clever, and downright magical outputs from AI models.

Did you know that simply adding "shot with a [insert film camera]" to your AI art prompt can totally change the look and feel of your image?

If you’ve ever tried generating AI art in London and thought, “Wait, why does this look like Brooklyn?” — you’re not alone.

So you’ve mastered prompt engineering—kind of. You know how to write instructions that make a large language model sound like a polite customer service rep or, depending on your business needs, a swashbuckling pirate with strong opinions about “The Goonies”. But sometimes… prompts alone aren’t enough. You need to train the thing. Welcome to the next level.

So, you’ve heard the hype. Prompt engineering is the it job right now. AI is exploding, companies are scrambling for talent, and suddenly everyone wants to be the one whispering sweet nothings into the digital ears of ChatGPT, Claude, and Midjourney.

But what does a Prompt Engineer actually do and what do you need to know?

If you're picturing a job where you just type "make this better" into ChatGPT and cash a six-figure paycheck—sit down, bestie. It’s more than just clever phrasing and good vibes. But, don’t worry, I’ve done the legwork. I browsed through heaps of job listings and pulled the most common skills you’ll need to know to land a job in Prompt Engineering…

In the simplest terms: Prompt Engineering is the art of getting an AI to do what you want.

We’ve all done it. You type in a simple AI prompt like “Sea turtle in the water” and hit generate, expecting something majestic. Instead, you get a weird, blurry turtle that looks like it was assembled by a committee of confused algorithms. Meanwhile, some AI wizard out there is crafting prompts so detailed that their sea turtle looks like it belongs in an underwater sci-fi movie poster. What’s their secret? Better prompting.

If you’ve tried using AI tools like ChatGPT for horror writing, you may have noticed some unexpected limitations—certain themes, violent scenes, or explicit horror elements may trigger content moderation filters. So, how do you effectively use AI to enhance your horror writing while working around these restrictions?

If you’re still asking ChatGPT simple questions, you’re barely tapping into its potential. Level up your workflow with these powerful prompts designed to streamline your week.

We all have those moments when life feels a bit overwhelming. Whether it’s 2 AM existential dread or you’re just having a rough day, it’s okay to need a little support. But what if you could turn to ChatGPT for a quick boost of clarity, advice, or even just a listening ear?

What if I told you there’s one tool that can help you with work, finances, parenting, mental health, and even meal planning—all without downloading a single app or buying a smart home device?

Learn how to befriend your chatbot, give it a name, teach it your vibe, and make every chat feel like a convo with a super-smart bestie.

Ever asked ChatGPT a question and gotten an answer so confidently wrong that you actually had to laugh out loud? Yup, same! It’s called an AI hallucination. Unlike the human kind (which might involve sleep deprivation and hard drugs), ChatGPT’s hallucinations happen for a few key reasons.

AI prompting is a powerful technique that influences the way generative models produce responses. By carefully structuring prompts, users can optimize the model's performance for different tasks. In this blog, we explore various prompting strategies and how they shape AI outputs, along with examples of both ineffective (bad) and effective (good) prompting.

Prompting is just a fancy word for “telling an AI what to do” in a way that makes sense to both you and the machine. Think of it like talking to a very literal genie—what you say determines what you get. The more detailed your prompt, the better the response.

Welcome to 2024, where the world of AI prompt engineering is buzzing with innovation and excitement! If you're ready to dive into the art of crafting perfect prompts to get the best results from AI models, you're in the right place.