🧩 Prompt Design Frameworks

Structure your prompt like this:

• Role: Who the AI should act as
• Objective: What outcome you want
• Instructions: How the AI should behave or format
• Data: What content or context to use

Role: You are a productivity mentor.
Objective: Help me reduce distractions during deep work.
Instructions: Give me 3 tips in list format.
Data: I get distracted every time I open YouTube or Instagram.
    

• Role: You are a VLSI Design interview coach
• Action: Ask me 3 mock questions on CTS and Floorplanning
• Context: I'm preparing for a Synopsys role
• Example: Also give sample answers with 2-line explanations

Role: VLSI coach
Action: Create 3 mock questions
Context: Interview prep for Synopsys
Example: Show sample answers
    

This method wraps your prompt in a structure that stabilizes output:

As a VLSI expert, analyze the timing ECO I applied. 
Here’s the ECO flow: [describe flow]
Do you suggest any additional steps or improvements?
    

This structure boosts reasoning and output reliability:

Let’s solve this: Why does IR drop affect timing in physical design?
Step-by-step: 1) Define IR drop, 2) Explain impact on voltage, 
3) Link to delay, 4) Conclude with timing impact.
Then, check if anything was missed.
    

• 🎯 Always define your goal before writing
• 🧩 Use structure: role, instruction, constraints, data
• 💬 Add examples to guide tone and length
• 🔄 Iterate by tweaking and testing
• 🧠 Reflect: ask the AI to critique itself