10 Prompt Engineering Tips for Better AI Results

What is Prompt Engineering?

Prompt engineering is the practice of crafting effective instructions for AI models. Better prompts = better results.

The 10 Essential Tips

1. Be Specific

❌ "Write about dogs"

✅ "Write a 200-word guide about caring for golden retriever puppies, focusing on nutrition and exercise"

2. Provide Context

Tell the AI who it should be:

You are an expert veterinarian with 20 years of experience...

3. Use Examples

Show the AI what you want:

Format the output like this:
- **Name**: Golden Retriever
- **Size**: Large
- **Temperament**: Friendly

4. Break Down Complex Tasks

Instead of one complex prompt, use a series of simpler ones:

5. Set Constraints

Define boundaries:

6. Ask for Step-by-Step

For complex problems:

Solve this step by step, showing your reasoning at each stage...

7. Use Delimiters

Separate different parts clearly:

Context: """
The user is asking about...
"""

Task: Summarize the above in 3 bullet points.

8. Specify Output Format

Return the response as JSON with this structure:
{
  "summary": "...",
  "key_points": ["...", "..."],
  "recommendation": "..."
}

9. Iterate and Refine

Start simple, then add complexity based on results.

10. Test Variations

Try different phrasings to find what works best.

Practice with Fomoa AI

Test these techniques in our Chat Interface - it's the best way to learn!

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