Why you get bad answers from AI (and how to fix it right away)
If you only ask AI a simple question, you are guaranteed a useless answer. With a simple framework of details, rules and goals you turn vague AI output into usable results straight away.
Why you get bad answers from AI (and how to fix it right away)
If you ask AI a lazy question, you get a useless answer. Full stop.
Many business owners open ChatGPT, type in a half-baked instruction and then complain that the result is generic, dull or downright unusable. The problem is not the model. The problem is the input. If you take no responsibility for the instruction, you should not be surprised by sloppy work.
In a recent video, Dan Martell makes this difference painfully clear. He reduces prompt engineering to a crystal-clear progression: from useless to actually usable.
The four levels of AI instructions
Martell breaks the quality of your interaction with AI down into four clear steps. It is a ladder you can apply to any workflow right away:
* Level 1: Just asking
If you simply ask the AI model a question, you get a bad answer. You give no context, so the system has to guess what you mean.
* Level 2: Asking with details
Do you add specific details to your question? Then the quality goes from bad to okay. The model now understands the situation, but is still in the dark about the form you want.
* Level 3: Details and rules
Do you give details and also set hard rules and constraints? Now you get a better answer. You dictate what the model may and, above all, may not do.
* Level 4: Details, rules and goals
This is where the real gain is. When you provide details, set clear rules and define the exact end goal, AI suddenly delivers a truly usable answer.
Stop hoping, start steering
The difference between frustration and operational leverage lies purely in these layers. A model cannot guess what you want to achieve. Without a goal the output lacks direction; without rules it lacks focus; without details it lacks relevance.
Every time a generated text or analysis falls short, go back to basics: are the facts missing, are the boundaries missing, or is the final destination missing? As soon as you combine those three elements, you force the system to deliver exactly what you need to make progress.
No more excuses about AI that "just doesn't get it". Build your prompts with context, impose restrictions and define the result you want.
Source
Watch the full video by Dan Martell: How get useful answers with your AI models.
Want to spar about your marketplace strategy?
No hype. A sober look at where your growth is and where margin leaks away.
Get in touch