Updated July 29, 2026
AI Output Formats Reference
Output format is one of the easiest ways to make AI responses easier to reuse. Pick the structure that matches the next tool, document, or review step.
Common output formats
| Format | Best for | Check before use |
|---|---|---|
| Markdown | Drafts, docs, outlines, and readable notes. | Preview headings, links, lists, and tables. |
| JSON | Structured data that another program will parse. | Validate before using; reject prose outside the JSON. |
| Table | Comparison, scoring, and quick review. | Confirm every row has the same columns. |
| CSV | Spreadsheet import and simple tabular export. | Escape commas, quotes, and newlines correctly. |
| Outline | Planning articles, scripts, and documentation. | Remove duplicated or generic sections. |
| YAML | Readable config-like drafts. | Validate indentation before copying into config files. |
Structured output still needs validationA model can produce malformed JSON, CSV, YAML, links, or citations. Validate machine-readable output before using it downstream.
References
Questions
What is the safest AI output format for code?
Use JSON only when you validate it. For human review, Markdown or a table is often easier to inspect before copying.
Should I ask for Markdown or HTML?
Ask for Markdown when you need editable source text. Ask for HTML only when your next workflow specifically expects HTML.