🎯 Core Goals
- Learn why “more is more” when it comes to prompt instructions.
- See how specificity leads to dramatically better results.
If you don’t specify it, the LLM will guess — and it will guess based on the most common pattern it’s seen, not what you actually need. The more explicit you are, the less room there is for a wrong assumption.
👁️ Visuals & Interactives
The Specificity Stack
Click the layers to turn a vague prompt into a great one.
📝 Key Concepts
- Can you specify what you want?
- Can you describe in detail what you do for a living?
- Does the answer you expect from the LLM have a clear right or wrong answer?
- Can you improve the prompt above?
The 6W Framework for better prompts: When stuck on why your result isn’t right, ask yourself if you covered: Who is the audience? What exactly do you want? When/Where is the context? Why does this matter? How should it be formatted? More answered Ws = better output.
For LLM-assisted coding or project management, it’s very important to have a clearly defined specification. We’ll explore this when we cover project management.
How do you improve a bad prompt? Add more context. The most common reason an LLM gives a generic or off-target response is that the prompt was ambiguous. Read your own prompt as if you knew nothing about the task — would the instruction be clear to a stranger? If not, add more detail.