A model is not a mind-reader. When you write "make this better" or "help me with my startup," you are asking it to invent the missing half of the brief — and it will invent confidently.

What the model actually needs

Every useful prompt answers three questions:

Outcome — What does done look like? A launch email, a critique, a SQL query, a lesson plan.
Constraints — What must it not do? Length, tone, audience, facts it must not invent.
Format — How should the answer be shaped so you can use it immediately?

Skip any one of those and you get plausible filler. Skip all three and you get vibes dressed as work.

A before / after

Vague: Write a better LinkedIn post about AI.

Clear: Write a 120-word LinkedIn post for CTOs evaluating AI tooling. Tone: skeptical but curious. Structure: hook → one concrete risk → one practical next step. Do not use the phrase "game-changer."

The second prompt is not longer for its own sake. It removes degrees of freedom the model would otherwise fill with generic marketing language.

Practice in the Studio

Open the Prompt Studio and describe a real outcome you need this week. Prefer one concrete deliverable over a topic. Then open the technique library to see which scaffolds the system applied — and why.

Related techniques

Hard constraintsExplicit boundaries the model must not violate.
Ask before inventingRequire the model to request missing critical inputs instead of fabricating.
Role + objectiveState who the model is and what success looks like before the task.