How to Write Prompts That Get Accurate AI Answers
A practical guide for everyone: from beginner user to advanced developer
Get precise answers that match your exact needs
Save time by getting it right the first time
Unlock AI's full potential for innovative solutions
Transform hours of work into minutes
A structured approach to prompt engineering
Provide background information and set the scene
Specify desired output length or format
Show what you want through concrete examples
Define who the response is for
Assign AI a specific expertise or perspective
More context = Better answers
Prompt: "Tell me about marketing"
Prompt: "I'm launching a sustainable fashion brand targeting Gen Z consumers. Explain digital marketing strategies that would resonate with environmentally conscious 18-25 year olds, focusing on Instagram and TikTok."
Key Takeaway: Include relevant details about your situation, goals, and constraints
Prompt: "Write a blog post about productivity"
Prompt: "Write a 500-word blog post about productivity hacks for remote software developers. Include 5 actionable tips, use a conversational tone, include a catchy introduction and conclusion. Format with H2 headers for each tip."
Examples dramatically improve output quality
Prompt: "Generate product descriptions in this style:
Example: 'Meet the CloudWalker Sneaker – where style meets sustainability. Crafted from recycled ocean plastic, these kicks don't just look good; they do good. Your feet (and the planet) will thank you.'
Now write a similar description for: Bamboo sunglasses"
Pro Tip: Use few-shot prompting – provide 2-3 examples of desired output format
Give AI an expert persona for specialized knowledge
"Act as a senior financial advisor..."
→ Get investment insights
"You are a UX design expert..."
→ Get interface feedback
"As a cybersecurity specialist..."
→ Get security guidance
"You're a creative copywriter..."
→ Get compelling copy
Why it works: Role assignment activates domain-specific knowledge and appropriate communication style
For complex problems, ask AI to "think out loud"
Prompt: "I need to decide between two job offers. Let's think through this step by step:
Offer A: [$X salary, Location Y, Role Z]
Offer B: [$A salary, Location B, Role C]"
Magic phrases: "Let's approach this step by step", "Think through this systematically", "Break this down"
Great prompts often evolve through conversation
"Explain quantum computing"
"That's too technical. Explain quantum computing for business executives with no physics background"
"Great! Now add 3 real-world business applications and keep it under 200 words"
Don't assume AI knows your previous conversation or situation
"Help me with my project" – What project? What help?
Asking for 5 different things in one prompt reduces quality
Without boundaries, you get generic, lengthy responses
Not specifying how you want the output structured leads to inconsistent results
Expecting perfection without iteration – refinement is part of the process
""", ---, or ###Excellent Prompt Example:
Role: "Act as a senior product manager with 10 years of SaaS experience."
Context: "I'm building a task management app for freelance creatives. Our beta users say the interface is cluttered."
Task: "Analyze common UX patterns in successful productivity apps and suggest 5 specific improvements to reduce clutter."
Format: "For each suggestion, provide: 1) improvement, 2) why it works, 3) an example app that does it well."
Constraints: "Keep explanations under 50 words each. Focus on mobile-first design."
Practice makes perfect! Start experimenting today.
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