The 7 things most AI tutorials are not covering…

1. The model copies your thinking style, not your words.
   • If your thoughts are messy, the answer is messy.
   • If you give a simple plan like “first this, then this, then check this,” the model follows it and the answer improves fast.
2. Asking it what it does not know makes it more accurate.
   • Try: “Before answering, list three pieces of information you might be missing.”
   • The model becomes more careful and starts checking its own assumptions.
   • This is a good habit for humans too.
3. Examples teach the model how to decide, not how to sound.
   • One or two examples of how you think through a problem are enough.
   • The model starts copying your logic and priorities, not your exact voice.
4. Breaking tasks into steps is about control, not just clarity.
   • When you use steps or prompt chaining, the model cannot jump ahead as easily.
   • Each step acts like a checkpoint that reduces hallucinations.
5. Constraints are stronger than vague instructions.
   • “Write an article” is too open.
   • “Write an article that a human editor could not shorten by more than 10 percent without losing meaning” leads to tighter, more useful writing.
6. Custom GPTs are not magic agents. They are memory tools.
   • They help the model remember your documents, frameworks, and examples.
   • The power comes from stable memory, not from the model acting on its own.
7. Prompt engineering is becoming an operations skill, not just a tech skill.
   • People who naturally break work into steps do very well with AI.
   • This is why many non technical people often beat developers at prompting.

Source: Agentic Workers