🏫 Layering Constraints for Better Prompts

📌 Quick Context:

Want your AI outputs to be sharper, shorter, or more on-brand? Add layered constraints—specific instructions stacked together—to get tighter, more controlled responses.

How to Do It in 3 Steps:

Step 1: Start with a Base Task

Begin with a clear instruction, like:

“Summarize this article.”

Without added constraints, you might get a casual 200-word summary or a list of bullet points.

Step 2: Add One Constraint

Now layer in a format, style, or length constraint:

• “Summarize this article in exactly 50 words.”

• “Use a professional tone suitable for a business report.”

• “Write in bullet points only.”

This instantly narrows the model’s response style.

Step 3: Stack Multiple Constraints for Control

Combine 2–3 constraints to dial in the precision:

• “Summarize in 50 words, use formal tone, and avoid technical jargon.”

• “Rewrite as a LinkedIn post: max 150 words, include a CTA, and keep it casual but authoritative.”

Layering creates a constraint stack, boosting output consistency and suitability for specific audiences.

📝 Recommended Next Step:

Take a recent prompt you've used—add 2 constraints (e.g., tone + format) and observe how the output changes. Repeat with different combos to learn what gets your ideal result.