domingo, 29 de junio de 2025

Prompt engineering explained

 Absolutely—let’s break this down clearly:





🟢 What is 

Prompt Engineering?



Prompt engineering is the practice of crafting effective instructions (prompts) to guide AI models (like me) to produce the desired output.


Think of it like asking a very smart but very literal assistant:


  • If you ask vaguely, you’ll get vague or random results.
  • If you ask precisely, you get exactly what you want.



Prompt engineering includes:

✅ Choosing the right words and structure in your question

✅ Giving context or examples

✅ Specifying format, style, and constraints





🟢 Why Does Prompt Engineering Matter?



Because AI models don’t “understand” meaning the way humans do—they predict text based on patterns.

Your prompt is your blueprint.


Good prompts = clearer, more useful answers.

Bad prompts = confusion, irrelevant output.





🟢 Examples of Prompt Engineering



Let’s look at some examples of basic and advanced prompting:





🎯 Example 1: Summarizing Text



Weak prompt:


Summarize this.


✅ Better prompt:


Summarize this text in 3 bullet points, focusing only on the main events.


✅ Even better prompt:


Summarize this article in simple language (grade 6 level) using 3 bullet points highlighting the main arguments.





🎯 Example 2: Generating Code



Weak prompt:


Write Python code.


✅ Better prompt:


Write Python code to read a CSV file called “data.csv” and print the first 5 rows.


✅ Even better prompt:


Write well-documented Python code that reads a CSV file called “data.csv”, filters rows where “age” > 30, and saves the result to “filtered.csv”.





🎯 Example 3: Changing Tone or Style



Weak prompt:


Rewrite this paragraph.


✅ Better prompt:


Rewrite this paragraph in a friendly, conversational tone suitable for a blog post.


✅ Even better prompt:


Rewrite this paragraph in a professional, persuasive tone suitable for a LinkedIn article. Keep it under 150 words.





🎯 Example 4: Creative Generation



Weak prompt:


Write a story.


✅ Better prompt:


Write a 200-word short story about a robot who learns to paint. Make it inspiring.


✅ Even better prompt:


Write a 200-word short story about a robot who learns to paint. Use descriptive language and end with a hopeful message about creativity.





🎯 Example 5: Structured Output



Weak prompt:


Give me some ideas.


✅ Better prompt:


List 5 marketing ideas for promoting a new vegan cookbook. Format them as a numbered list.


✅ Even better prompt:


Provide 5 creative marketing ideas for a vegan cookbook launch. For each idea, include:



  • The concept (1 sentence)
  • The target audience
  • An estimated cost level (low, medium, high)






🟢 Common Prompt Engineering Techniques



✅ Be specific — define exactly what you want

✅ Set constraints — word count, format, tone

✅ Provide examples — model learns by example

✅ Use role-playing — “Act as a professional chef…”

✅ Iterate — tweak prompts if results aren’t perfect





🟢 In a Nutshell



Prompt engineering = crafting precise instructions for AI to get reliable, high-quality output.


If you’d like, I can help you practice by refining a prompt together. Just share what you’d like to achieve!


Prompt engineering explained

  Absolutely—let’s break this down clearly: 🟢 What is  Prompt Engineering? Prompt engineering is the practice of crafting effectiv...