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Output Format

The output format section tells AI exactly how to present the response. This is where you specify structure, not just content.

8 min•By Priygop Team•Updated 2026

Defining Output Format

Output format specifies:
- Structure: bullet points, numbered list, table, paragraphs
- Sections: introduction, examples, summary
- Length: word count, number of items, number of pages
- Special formats: JSON, Markdown, HTML, Python code

Example output formats:
- '3 bullet points, each under 15 words'
- 'A table with columns: Feature, Python, JavaScript'
- 'A numbered list of 5 steps'
- 'JSON with keys: name, description, example'
- 'Two paragraphs: one for beginners, one for advanced readers'

Diagram

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Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence

Output Format Examples

Bullet format: 'List the main differences as 5 bullet points, one per difference.'
Table format: 'Compare these tools in a table with columns: Tool, Use case, Price, Pros, Cons.'
Step format: 'Give me the steps as a numbered list. Start from the first step a user takes.'
JSON format: 'Return the result as JSON with keys: topic, summary, key_points (array).'
Mixed format: 'Write a one-paragraph introduction, then list 5 key takeaways as bullet points.'

Key Takeaways

Output format tells AI how to structure and present the response
Specifying format prevents AI from choosing a format that does not fit your needs
Common formats: bullets, numbered list, table, JSON, paragraphs, code blocks
You can specify mixed formats: paragraph followed by a list
If format matters for your use case, always specify it explicitly

Key Takeaways

The output format section tells AI exactly how to present the response.
Bullet format: 'List the main differences as 5 bullet points, one per difference.'
Table format: 'Compare these tools in a table with columns: Tool, Use case, Price, Pros, Cons.'
Step format: 'Give me the steps as a numbered list. Start from the first step a user takes.'

Topics in This Module

Defining Output Format

Diagram

Loading diagram…

Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence

Output Format Examples

Bullet format: 'List the main differences as 5 bullet points, one per difference.'

Table format: 'Compare these tools in a table with columns: Tool, Use case, Price, Pros, Cons.'

Step format: 'Give me the steps as a numbered list. Start from the first step a user takes.'

JSON format: 'Return the result as JSON with keys: topic, summary, key_points (array).'

Mixed format: 'Write a one-paragraph introduction, then list 5 key takeaways as bullet points.'

Key Takeaways

Output format tells AI how to structure and present the response

Specifying format prevents AI from choosing a format that does not fit your needs

Common formats: bullets, numbered list, table, JSON, paragraphs, code blocks

You can specify mixed formats: paragraph followed by a list

If format matters for your use case, always specify it explicitly

Topics in This Module