5 Prompt Techniques That Actually Work
Most people use ChatGPT like a search engine. Type a question, get a generic answer, wonder why AI is "overrated."
That's not an AI problem — it's a prompting problem.
After testing thousands of prompts across ChatGPT, Claude, and Gemini, here are the 5 techniques that consistently deliver better results.
1. Role + Context + Task (The RCT Framework)
Don't just ask a question. Set the stage:
"You are a senior financial advisor with 20 years of experience. I'm a freelancer earning £45K/year with irregular income. Create a monthly budget template that accounts for variable earnings."
Why it works: The AI now has a role (expert persona), context (your situation), and a clear task. Generic inputs get generic outputs.
2. Give Examples (Few-Shot Prompting)
Show the AI what you want by providing examples:
"Convert these feature descriptions into benefit statements:
Feature: 256GB storage → Benefit: Store 50,000 photos without running out of space
Feature: 12-hour battery → Benefit: ______"
One example is often enough. The AI copies the pattern.
3. Break It Into Steps (Chain of Thought)
Complex tasks need structured thinking:
"Analyze this business idea step by step:
1. Identify the target audience
2. List 3 potential revenue streams
3. Identify the biggest risk
4. Suggest a 30-day validation plan"
This prevents the AI from jumping to conclusions and gives you actionable output.
4. Set Constraints
Limitations breed creativity — and precision:
"Write a product description in under 50 words. Target audience: busy parents. Tone: warm but efficient. Include one emoji."
Without constraints, AI rambles. With them, it's laser-focused.
5. Ask It To Ask You
Turn the AI into a consultant:
"I want to create a digital product to sell online. Before you suggest anything, ask me 5 questions to understand my skills, audience, and goals."
This flips the dynamic. Instead of guessing, the AI gathers info first — then gives you tailored advice.
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- RCT Framework — Role + Context + Task
- Few-Shot — Give examples before asking
- Chain of Thought — Break tasks into steps
- Constraints — Limit length, tone, format
- Ask It To Ask You — Let AI gather context first
Start with just one technique on your next prompt. You'll notice the difference immediately.