This guide provides practical advice and best practices for structuring and writing high-quality, dynamic prompts that produce personalized, professional, and unique content, moving beyond simple attribute insertion.
Best Practices for Quality Prompt Generation
Follow these six core recommendations to maximize the effectiveness and clarity of your prompts:
1. Create a Clear Structure.
Use headers, paragraphs, and lists (HTML tags like <h1>
, <ul>
, <li>
) to visually organize the text. A well-structured prompt usually leads to a well-structured output.
2. Always Check Data Availability.
Avoid inserting attributes directly if you cannot guarantee the value is present for all products. If an attribute value is missing, it will leave an empty space in the final generated text.
Wrap the attribute and its surrounding text within an if block (conditional logic).
Example: if $material Material: $material end
(The text "Material:" appears only if the $material
attribute is filled).
3. Ensure Tag Closure.
Verify that all paired tags used in your prompts are correctly closed (e.g., <strong>
is closed with </strong>
). Incorrectly closed tags can cause formatting errors in the final output.
4. Avoid Repetition.
Do not insert the same attribute value multiple times into different blocks. This overloads the text and can cause the AI to generate repetitive, unnatural content.
5. Write "Humanly" (Tone and Engagement).
Imagine you are a copywriter engaging the customer. Add lively details, emphasis, and speak directly to the user to make the text feel natural and persuasive.
Example: if $brand Reliability from brand $brand — a great choice for your comfort. end
6. Verify the Result.
Click Save & Preview to see exactly how your prompt works on real products and with their available attributes. This step is crucial for catching errors in logic, syntax, or tone before running a large batch.
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