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Custom prompt shortcut / Prompt Engineering

/structuredoutput — ChatGPT Prompt Guide

Explore the /structuredoutput custom ChatGPT prompt shortcut with a practical template, examples, and review steps. Learn how to refine outputs for your workflow.

What does /structuredoutput do?

Purpose: Extract invoice fields into a stable JSON schema.

This is a custom prompt convention, not a built-in or official ChatGPT slash command. Entering the slash text alone does not guarantee that ChatGPT will invoke a special tool. Use the complete structured prompt below or configure your own app to interpret this shortcut.

Key decision for this workflow

Use /structuredoutput when the task is extract customer support tickets into strict json; specify the evidence needed to accept the result.

Copy-ready task brief

/structuredoutput Objective: Extract customer support tickets into strict JSON Inputs: Three anonymized tickets, allowed priority values and required JSON schema Deliverable: An array with ticket_id, issue_type, priority and short summary fields

Reusable prompt template

/structuredoutput Objective: Extract customer support tickets into strict JSON Available materials: Three anonymized tickets, allowed priority values and required JSON schema Required output: An array with ticket_id, issue_type, priority and short summary fields Acceptance test: Validate output with a JSON parser and reject unknown keys and invalid priority enums Boundary: A syntactically valid object can still contain unsupported classifications Return the requested deliverable first, then a brief verification checklist and any unresolved questions.

How to use this shortcut

  1. Collect the source inputs: Three anonymized tickets, allowed priority values and required JSON schema
  2. Run /structuredoutput with the copy-ready task brief above.
  3. Request the concrete output: An array with ticket_id, issue_type, priority and short summary fields
  4. Check the result: Validate output with a JSON parser and reject unknown keys and invalid priority enums

Quality checks and limitations

Acceptance criteria: Validate output with a JSON parser and reject unknown keys and invalid priority enums Limitation: A syntactically valid object can still contain unsupported classifications

Related tools and learning

Continue with the 35 prompt generators, the technical AI Guides, and the Image Guides for deeper examples.

/promptenhance/promptoptimize/promptanalyze/promptgenerator/creaturedesign/architectureviz

Worked example and expected output

Input materials: Three anonymized tickets, allowed priority values and required JSON schema

Requested result: An array with ticket_id, issue_type, priority and short summary fields

Acceptance test: Validate output with a JSON parser and reject unknown keys and invalid priority enums

Worked example: Extract invoice fields into a stable JSON schema

Illustrative deliverable: Define invoice_number, issue_date, currency, line_items, totals and null-handling rules with one valid example.

Review and limitations

Validate JSON against schema and reconcile arithmetic; do not guess missing values.

Worked workflow: Extract customer support tickets into strict JSON

Practical scenario: Extract customer support tickets into strict JSON

Inputs to provide: Three anonymized tickets, allowed priority values and required JSON schema

Requested deliverable: An array with ticket_id, issue_type, priority and short summary fields

How to verify the result: Validate output with a JSON parser and reject unknown keys and invalid priority enums

Important limitation: A syntactically valid object can still contain unsupported classifications

Frequently asked questions

Is /structuredoutput an official ChatGPT command? No. It is a reusable custom shorthand from this catalog. Does it work without a plugin? You can copy the full prompt into an assistant; automatic slash-command routing requires application logic. Can the output be trusted without review? No. Review accuracy, safety, and suitability before use.