If you’ve ever used Large Language Models (LLMs) and thought, “Hmm, this answer isn’t quite what I wanted…”, you’re not alone. Getting great results from AI often depends on one key thing: how you ask.
That’s where prompt engineering comes in. It’s basically the art (and a bit of a science) of writing clear, structured prompts that help ChatGPT understand exactly what you need. And trust me, it makes a massive difference.
To make that easier, and honestly, less intimidating, I put together the image below with 6 prompt frameworks that you can use right away. Each one is broken down into simple steps to guide your thinking, whether you’re asking for a blog post, planning a campaign, analysing data, or just brainstorming ideas.
Some are super short and snappy (like A.P.E) and others go a bit deeper (like R.O.S.E.S), but all of them are designed to help you:
- Set clear intentions
- Provide just the right amount of context
- Get more useful, focused responses
Why I built this
I made these frameworks because I kept noticing how much better my results got when I followed a bit of structure, even something as simple as naming the goal or setting the scene. Over time, I found myself repeating the same patterns, so I turned them into something visual that others could easily pick up and use too.
Whether you’re a content writer, developer, marketer, teacher, or just someone exploring what AI can do, these prompts can save you time and make the experience way smoother. So go ahead, try them out. Mix and match. Make them your own.
And if you’ve got ideas for more frameworks, I’d love to hear them!
