How to Perfect Your Prompt Engineering Skills: Top Tips & Best Platforms

If you’ve ever fed something into an AI tool and walked away thinking, “That’s… not what I meant,” you already understand why prompts are important. Getting the right prompt is key to generating the results you’re after. But so often, people get it wrong. 

Prompt engineering may sound super technical and complicated, but it’s actually just a way to learn how to speak AI in order to produce better outputs. The difference between an average output and genuinely useful content often comes down to how clearly you’re able to communicate your idea.

Fortunately, prompt engineering doesn’t require memorising formulas or exotic tech lingo. It’s just about being specific, intentional, and a bit patient.

So what’s the secret to actually getting better at it without making it feel stilted or overengineered? Let’s find out.

Start Simple, Then Add Detail (Especially With a Text to Image Generator)

One of the biggest mistakes people make when using a text-to-image generator is trying to cram everything into the very first prompt. You type in this super long, overly specific description, hit enter, and then feel irritated when the output still doesn’t get it right.

In truth, prompts are so much more effective when you start small and expand from there. Think of the first prompt as a rough draft. You’re just firing an arrow into the air, not looking for it to land on a target right away. Once you see what comes back, it’s so much easier to tweak the parts that matter and discard the rest.

Learn to respond to the output rather than fighting it. Adjust the mood. Clarify the style. Shift the focus. Prompt engineering is much easier if you think of it as something you work to shape over several rounds, not a single-shot command that’s supposed to hit the nail on the first go. 

Works best in: Text-to-image tools like Midjourney, Adobe Firefly, and DALL-E, where early outputs guide refinement more than perfect first prompts.

Focus on Intent, Not Just Appearance

Too many people get wrapped up in how something is “supposed to look,” instead of what it’s meant to do. Sure, you could generate something that’s visually on point but is way off base in terms of what you’re actually trying to convey. In other words, it’s useless. That’s typically an intent problem, not a prompt problem.

Before you even start worrying about color or style, it’s worth asking yourself what the purpose of the output is actually for. Does it need to convey calm reassurance, a bold “go big or go home” wow factor, or clean-minimal simplicity? When you’re clear on the purpose, the visual choices tend to fall into place more easily.

And don’t mistake intent for over-explaining. You don’t have to be overly detailed or overthink the wording. Most of the time, the mood or feel that you’re going for is enough. Once you nail that part, everything else gets easier, and the results tend to feel much more on point, even if they still need a bit of tweaking.

Especially important for: Brand-led visuals, marketing assets, and client-facing work where tone matters more than aesthetics.

Stop Overthinking It

Engineering a good prompt becomes infinitely easier when you stop overthinking it. It probably sounds counterintuitive — after all, if you want the best results, shouldn’t you be super specific from the get-go? In reality, it’s quite the opposite. Always remember that the first result doesn’t have to be a masterpiece. It just needs to give you something to respond to. 

The real, quality stuff happens after a bit of trial-and-error. Generate a few variations. Look for what’s consistently off. Is the lighting wrong? Is there too much going on in the output? Note it down and change the next prompt accordingly. It’s really that simple. Don’t stress too much if your first output misses the mark. You’re just narrowing in on what you actually want.

​​Most noticeable when using: Generative tools that encourage variation, such as Midjourney, Runway, and Firefly’s image and video generation tools.

Keep Your Language Clear and Grounded

There’s always that temptation to write prompts in fancy or overly complicated language, but the truth is nine times out of ten, you’re better off with clarity. Plain language helps the AI understand what you’re asking for, the same way it would if you were speaking to a human being. 

Unless it’s actually part of the concept, you don’t need fancy metaphors or poetic wording. Describing things like lighting, perspective, setting, and mood in straightforward terms often leads to much better results. If you’re not getting the results you want, it’s probably because the description is doing too much. Strip it back, get specific, and in doing so let the details do the heavy lifting.

Applies across: All AI platforms — clear, literal language improves results regardless of the tool.

Choose Platforms That Support Refinement, Not Just Output

Not all AI platforms are created equal. Some are designed to get something bold and visually impressive into your hands as quickly as possible, which can be great for trying stuff out or early-stage experimentation. Others are meant to support longer, more reflective creative workflows where refinement is really important. 

For instance, Midjourney is the ideal application for conceptual or stylized visuals, particularly when you’re in a hurry. Platforms such as Runway tend to be popular for AI-assisted video work, where generation and editing sit closer together. Adobe Firefly, by contrast, is designed to complement other creative applications such as Photoshop, Illustrator, and Premiere Pro. It’s also built on an ethical AI training model, so you don’t have to worry about plagiarism.

Which one you choose depends on what you’re trying to achieve. Looser tools might be good enough for quick and less-polished results. If your top considerations are consistency, brand alignment, and ethics, platforms specializing in iteration and ethical AI could be the best fit.

Best platforms for refinement-heavy workflows: Adobe Firefly, Runway, and tools that integrate directly with editing software like Photoshop or Premiere Pro.

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Pay Attention to What You’re Not Saying

And finally, sometimes it’s not the prompts that are the problem — it’s what you’re leaving out. If an output continues to include things you don’t want, that’s often because the prompt hasn’t imposed limits. This is where negative prompts can be really helpful. 

Being extremely clear about what shouldn’t appear can be just as helpful as describing what should. For example, if a design keeps defaulting to a blue background when that’s not what you’re after, the next step might be to explicitly say something like “no blue tones, no cool color palette” rather than trying to fight it with more descriptions on the positive side.

And that goes for style, tone, and structure as well. You can help the AI zero in on what you want by removing ambiguity. It’s not something you pick up overnight, but over time and with more experience, you start to see patterns in how the tools respond, and you adjust your prompts accordingly.

Especially useful for: image and video generators that support negative prompts or exclusions, including Firefly, Midjourney, and Runway.

Using AI Well Is Still a Creative Skill

The key to getting better at prompt engineering isn’t sounding smart or learning some secret trick. It’s just knowing what you want and not being afraid to mess with it until it looks right. Nine times out of ten, it won’t be the first result. That’s normal.

AI works best when you stop expecting it to read your mind. You try something, see what comes back, change a couple of words, try again. Some results are rubbish. Some are decent. You save the good stuff and bin the rest. 

At the end of the day, the tools don’t magically make things good. You do. AI just saves you time getting there. So, keep experimenting and see what actually sticks.