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Practice

Apply what you have learned about how AI understands prompts. Practice identifying weak prompts and improving them to communicate intent, context, and instructions more clearly.

15 min•By Priygop Team•Updated 2026

Practice: Improve These Prompts

Practice: Improve These PromptsHTML

HTML Editor

✓ ValidTab = 2 spaces

# Practice exercise: identify the problem and improve each prompt

prompts_to_improve = [
    {
        "bad": "Tell me about AI.",
        "problem": "Too vague. No audience, no purpose, no output format.",
        "improved": """
        Explain what Artificial Intelligence is to a student in their
        first year of college who has no programming background.
        Use a simple analogy and 3 bullet points covering:
        1. What AI is
        2. How it is different from normal software
        3. One everyday example of AI they have already used.
        """
    },
    {
        "bad": "Fix my code.",
        "problem": "Missing the code. AI cannot fix code it cannot see.",
        "improved": """
        Review this Python function and identify any bugs.
        Explain each bug in plain English.
        Then show me the corrected version.

        def calculate_tax(price, rate):
            return price * rate / 100
            return price
        """
    },
    {
        "bad": "Make it shorter.",
        "problem": "Ambiguous. No reference to what text and no target length.",
        "improved": """
        Reduce this paragraph to exactly 30 words.
        Keep the main point. Remove examples and filler words.

        [Paste your paragraph here]
        """
    },
]

for i, item in enumerate(prompts_to_improve, 1):
    print(f"Example {i}:")
    print(f"  Bad: {item['bad']}")
    print(f"  Problem: {item['problem']}")
    print(f"  Improved: See above")
    print()

# Practice exercise: identify the problem and improve each prompt

prompts_to_improve = [
    {
        "bad": "Tell me about AI.",
        "problem": "Too vague. No audience, no purpose, no output format.",
        "improved": """
        Explain what Artificial Intelligence is to a student in their
        first year of college who has no programming background.
        Use a simple analogy and 3 bullet points covering:
        1. What AI is
        2. How it is different from normal software
        3. One everyday example of AI they have already used.
        """
    },
    {
        "bad": "Fix my code.",
        "problem": "Missing the code. AI cannot fix code it cannot see.",
        "improved": """
        Review this Python function and identify any bugs.
        Explain each bug in plain English.
        Then show me the corrected version.

def calculate_tax(price, rate):
            return price * rate / 100
            return price
        """
    },
    {
        "bad": "Make it shorter.",
        "problem": "Ambiguous. No reference to what text and no target length.",
        "improved": """
        Reduce this paragraph to exactly 30 words.
        Keep the main point. Remove examples and filler words.

[Paste your paragraph here]
        """
    },
]

for i, item in enumerate(prompts_to_improve, 1):
    print(f"Example {i}:")
    print(f"  Bad: {item['bad']}")
    print(f"  Problem: {item['problem']}")
    print(f"  Improved: See above")
    print()

Result

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HTML|46 lines|1505 chars|✓ Valid syntax

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Key Takeaways from Module 2

AI processes your full prompt and generates a response based on learned patterns
Clear instructions, good context, and explicit intent produce better results
Ambiguity and missing information cause AI to guess, often incorrectly
AI hallucination means you should always verify important AI-generated facts
AI has limitations: knowledge cutoffs, context limits, and no true understanding
Improving the prompt is always the right first response to a poor AI answer

Diagram

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Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence

Key Takeaways

Apply what you have learned about how AI understands prompts.
AI processes your full prompt and generates a response based on learned patterns
Clear instructions, good context, and explicit intent produce better results
Ambiguity and missing information cause AI to guess, often incorrectly

Topics in This Module