Add to ChromeStructured output prompts
Create prompts that are easier to turn into JSON.
Learn how to specify fields, types, validation rules, and fallback behavior so AI responses are more consistent and easier to use in workflows.
Review the result before you use it. PromptPro does not submit messages for you.
A clearer JSON prompt has a contract
Vague request → Structured request
Vague request
Extract the customer details as JSON.
Structured request
Return only valid JSON with this schema: {"name": string|null, "company": string|null, "needs": string[], "confidence": number 0-1}. Use null when a value is missing. Do not add keys or markdown fences.
Why it helps
What to define in a structured prompt
Field names and types
Describe the exact keys, value types, and whether a field may be empty.
Output boundaries
State whether the answer may include explanations, markdown, or only the requested object.
Missing-data behavior
Tell the model what to do when the source does not contain enough information.
A repeatable workflow
Build a more reliable JSON request
- 01
Describe the input
Explain what the model will receive and what should be extracted or transformed.
- 02
Define the schema
List keys, types, allowed values, and required fields in plain language.
- 03
Add failure rules
Specify how to represent unknown, invalid, or incomplete values.
Questions
JSON prompt questions
Can a prompt guarantee valid JSON?
A well-defined prompt can reduce formatting errors, but model behavior and API features vary. Validate the response in your application when reliability matters.
Should I include an example JSON object?
Examples can help when the structure is complex, especially when they show optional fields and edge cases.
Is this only for developers?
No. Structured prompts are useful whenever an AI answer needs to be copied into a spreadsheet, workflow, form, or other repeatable process.
Get started
Make AI output easier to use.
Start with a structured prompt pattern and adapt it to your workflow.