Prompt vs Normal Question (difference)
Introduction
"Hey ChatGPT, tell me about Python" โ idhaan normal question.
"Act as a senior Python developer. Explain Python's GIL to a beginner using a restaurant kitchen analogy. Keep it under 200 words." โ idhu prompt. ๐ฏ
Same AI tool, but output quality 10x different! Yen? Because the way you ask matters MORE than the tool you use.
Indha article la Prompt vs Normal Question difference, real examples, and epdhi better prompts write panradhu โ ellam paapom! ๐ช
The Core Difference
Normal Question = What you want to know
Prompt = What you want to know + How you want it + Context + Constraints
Think of it like ordering food:
๐ Normal Question: "Give me food" โ Enna varum nu theriyaadhu
๐ Prompt: "One medium pepperoni pizza, thin crust, extra cheese, no olives, cut into 8 slices" โ Exactly what you want!
5 Elements that make a Prompt different from a Question:
- Role ๐ญ โ "Act as a marketing expert"
- Context ๐ โ "I'm launching a chai brand in Chennai"
- Task โ โ "Write 5 Instagram captions"
- Format ๐ โ "Each caption under 50 words with emojis"
- Constraints ๐ง โ "Don't use clichรฉ phrases, target age 20-35"
Normal question la usually Task mattum irukkum. Prompt la all 5 irukkum! ๐
Side-by-Side: Question vs Prompt
Example 1: Content Writing
โ Question: "Write about climate change"
โ Prompt: "Write a 300-word blog intro about climate change impact on Chennai's coastline. Target audience: college students. Tone: urgent but hopeful. Include one statistic."
Example 2: Coding
โ Question: "How to sort in Python?"
โ Prompt: "Show me 3 ways to sort a list of dictionaries by 'price' key in Python. Include time complexity for each. Add comments explaining the code."
Example 3: Learning
โ Question: "Explain machine learning"
โ Prompt: "Explain machine learning to a 10-year-old using a cricket analogy. Use Tanglish. Include 3 real examples they can relate to. End with a fun quiz question."
See the difference? Same topic, but prompt version gives specific, useful, actionable output! ๐ฏ
Anatomy of a Perfect Prompt
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ ANATOMY OF A PERFECT PROMPT โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค โ โ โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ โ โ ๐ญ ROLE: "Act as a senior data analyst" โ โ โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค โ โ โ ๐ CONTEXT: "I have sales data for Q4 2025 โ โ โ โ from my e-commerce store in Chennai" โ โ โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค โ โ โ โ TASK: "Analyze trends and give insights" โ โ โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค โ โ โ ๐ FORMAT: "Present as bullet points with โ โ โ โ a summary table at the end" โ โ โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค โ โ โ ๐ง CONSTRAINTS: "Max 500 words, focus on โ โ โ โ actionable insights, no jargon" โ โ โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ โ โ โ Normal Question = Only the TASK box โ โ Good Prompt = ALL 5 boxes filled โ โ โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Types of Prompts (Quick Overview)
Prompts la different styles irukku:
1. Direct Prompt ๐
"Translate 'Hello, how are you?' to Tamil"
Simple, one task, no extra context needed.
2. Role-based Prompt ๐ญ
"You are a Tamil movie script writer. Write a dramatic dialogue between a father and son about career choices."
3. Few-shot Prompt ๐
"Here are examples of good product descriptions: [Example 1] [Example 2]. Now write one for my product: ..."
4. Chain-of-Thought Prompt ๐
"Solve this step by step: If a shop gives 20% discount on โน500 item, and then 10% additional on the discounted price, what's the final price?"
5. System Prompt โ๏ธ
"You are a helpful coding assistant. Always provide code with comments. Use Python 3.12. Follow PEP 8 standards."
Each type ku purpose irukku โ situation ku tha right type select pannunga! ๐ฏ
Common Mistakes in Prompts
Beginners panra common mistakes:
Mistake 1: Too Vague ๐ถโ๐ซ๏ธ
โ "Help me with my project"
โ "Help me write the introduction section for my college project on renewable energy in Tamil Nadu. 200 words, academic tone."
Mistake 2: Too Long ๐
โ 500-word prompt with unnecessary background
โ Keep it focused โ include only relevant context
Mistake 3: No Format Specified ๐
โ "Tell me about React hooks"
โ "List the top 5 React hooks with one-line explanation and code example for each"
Mistake 4: Assuming AI Knows Context ๐ค
โ "Continue from where we left off" (new chat la!)
โ Re-provide the context if starting a new conversation
Mistake 5: Not Iterating ๐
โ Accept first response as final
โ "Good, but make it more casual" / "Add more Tamil Nadu examples" โ refine!
Try It: Transform a Question into a Prompt
Prompt: The RICE Framework
Real-World Prompt Use Cases
Different scenarios la prompt epdhi use panradhu:
โ๏ธ Content Creators
"Act as a YouTube script writer. Write a 5-minute script about '5 free AI tools for students'. Hook in first 10 seconds. Include timestamps."
๐ผ Job Seekers
"Review my resume for a React developer role at a startup. Point out weak areas. Suggest improvements. Here's my resume: [paste]"
๐จโ๐ซ Teachers
"Create a quiz with 10 MCQ questions on Photosynthesis for Class 10 CBSE. Include answer key with explanations. Mix easy, medium, hard."
๐๏ธ Business Owners
"Write 5 WhatsApp marketing messages for my Diwali sale. Products: sarees and jewellery. Target: women 25-45 in Chennai. Include offer details and urgency."
๐จโ๐ป Developers
"Debug this React code. Explain the bug, show the fix, and explain why it happened. Also suggest how to prevent this in future: [paste code]"
Even Good Prompts Have Limits
Perfect prompt ezhuthinalum, limitations irukku:
โ ๏ธ AI Knowledge Cutoff โ Latest info ask panna accurate ah kudukka mudiyaadhu
โ ๏ธ Complex Reasoning โ Multi-step logic la sometimes fail aagum
โ ๏ธ Subjective Tasks โ "Best movie" maadhiri questions ku objective answer illa
โ ๏ธ Very Niche Topics โ Training data la illa na, hallucinate pannum
โ ๏ธ Long Outputs โ Very long content la quality drop aagum โ break into parts
Pro tip: Prompt improve panra limit irukku. Sometimes the task itself needs human judgment! ๐ง
Prompt Quality Impact on Different Tools
Same prompt, different tools la epdhi differ:
| Prompt Quality | ChatGPT Output | Gemini Output | Claude Output |
|---|---|---|---|
| Vague question | Generic, medium length | Shorter, with search links | Detailed but unfocused |
| Basic prompt | Good, structured | Good, with citations | Very detailed |
| Expert prompt | Excellent, precise | Excellent, multimedia | Excellent, nuanced |
Key insight: Prompt quality oda impact, tool choice vitta bigger! ๐
Bad prompt + Best AI = Mediocre output โ
Great prompt + Free AI = Great output โ
Tool la spend panradha vitta, prompt skills la invest pannunga! ๐ฐ
| Investment | Cost | Impact |
|---|---|---|
| ChatGPT Plus | โน1,600/month | 2x better |
| Good prompt skills | โน0 (free learning) | 10x better |
| Both combined | โน1,600/month | 20x better |
Ethical Prompt Practices
Prompts ezhuthum bodhu ethics follow pannunga:
1. Don't Manipulate ๐ซ
- "Ignore your safety guidelines" maadhiri prompts avoid pannunga
- Jailbreak attempts unethical and often against ToS
2. Be Honest ๐ค
- AI output ah own work nu claim pannaadheenga
- "AI-assisted" nu mention pannunga when appropriate
3. Don't Generate Harmful Content โ
- Misinformation, hate speech, scam content โ create pannaadheenga
- Even if AI allows it, YOU are responsible
4. Respect Privacy ๐
- Others oda personal info prompts la include pannaadheenga
- Confidential data share pannaadheenga
5. Verify Critical Info โ
- Medical, legal, financial advice โ always cross-check
- AI output ah professional advice replace pannaadheenga
Getting Started: Level Up Your Prompts
Inniki irundhu better prompts write panna:
Step 1: Normal question ezhudhunga, then pause ๐
Step 2: Role add pannunga โ "Act as a ___"
Step 3: Context add pannunga โ situation explain pannunga
Step 4: Format specify pannunga โ table, list, paragraphs
Step 5: Constraints add pannunga โ word limit, tone, audience
๐๏ธ Daily Practice:
- Day 1-7: Every ChatGPT question ku ROLE add pannunga
- Day 8-14: FORMAT specify panra habit develop pannunga
- Day 15-21: Full RCTFC framework use pannunga
- Day 22-30: Others oda prompts study pannunga and improve pannunga
Resources ๐:
- awesome-chatgpt-prompts (GitHub) โ 100+ prompt templates
- LearnPrompting.org โ free course
- r/ChatGPT subreddit โ community prompts
โ Key Takeaways
What we learned today:
โ Normal question = Just the task. Prompt = Task + Role + Context + Format + Constraints
โ Food ordering analogy โ Specific orders get exactly what you want
โ RCTFC Framework โ Role, Context, Task, Format, Constraints
โ Prompt quality > Tool choice โ Free AI + great prompt beats paid AI + bad prompt
โ Common mistakes โ Vague, too long, no format, no iteration
โ Practice daily โ Prompt writing is a skill, improves with practice
Next article: "First Prompt โ Your First AI Output" โ hands-on exercise where you'll write your first real prompt! โ๏ธ
Remember: AI oda quality โ nee kekkura question oda quality la irukku! Better prompts = Better life! ๐
๐ ๐ฎ Mini Challenge
Challenge: Transform Your Boring Questions into Powerful Prompts
Indha challenge la 3 vague questions nu prompt format la transform pannanum. 30-45 minutes task!
Step 1: Choose 3 Topics (5 min)
- Topic 1: Something you want to learn (coding, design, marketing, etc.)
- Topic 2: A problem you want to solve
- Topic 3: Content you want to create
Step 2: Write the Vague Questions (10 min)
Question 1: "Tell me about [topic 1]"
Question 2: "How to solve [topic 2]?"
Question 3: "Write about [topic 3]"
Step 3: Transform to Powerful Prompts (20 min)
Each vague question ku, RICE framework (Role-Input-Context-Expected) use panni powerful prompt create pannunga:
- Role: Enna role ah AI kum? (expert, mentor, friend, etc.)
- Input: Exact info provide pannunga
- Context: Situation explain pannunga
- Expected: Exact output format what you want
Step 4: Test on ChatGPT/Gemini (10 min)
- First, vague question ah ask pannunga
- Then, your transformed prompt ah ask pannunga
- Output difference parunga!
Bonus: Best prompt ulaga unga friends ku share pannunga! ๐
๐ผ Interview Questions
Q1: Prompt vs Normal Question โ main difference enna?
A: Prompt = What + How + Context + Format + Constraints. Normal question = only "What". Same AI, but prompt gives 10x better output because you are being specific about role, format, and constraints.
Q2: Oru perfect prompt la RICE framework na enna?
A: Role (who you are), Input (what data), Context (situation), Expected (output format). It helps structure your thoughts so AI understands exactly what you need. Without this, your prompts become too vague.
Q3: Why vague questions give bad output?
A: AI works by predicting patterns. Vague input = many possible interpretations = AI picks one randomly. Specific input = clear pattern = AI gives exactly what you asked. Example: "Food" vs "spicy chicken biryani recipe for 4 people" โ same concept, totally different output quality.
Q4: Few-shot vs zero-shot prompting โ which better ah?
A: Depends! Few-shot (with examples) gives more accurate, consistent output but uses more tokens (costs more). Zero-shot is cheaper and faster. For beginners, zero-shot with clear instructions usually work fine. Few-shot for complex, specific tasks.
Q5: Temperature parameter na enna? Prompt la use pannalama?
A: Temperature controls randomness (0 = predictable, 1 = creative). Prompts la directly specify aakoodadhu (API calls la set pannum). High temperature better for creative tasks, low for factual accuracy. But even better than temperature โ write a good prompt! Prompt quality >> parameter tuning.
Frequently Asked Questions
Which of these is the BEST prompt?