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Custom prompt shortcut / Prompt Engineering

/prompttesting — ChatGPT Prompt Guide

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

What does /prompttesting do?

Purpose: Regression-test a customer support assistant.

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

include ambiguous and adversarial tickets; track false escalations.

Copy-ready task brief

/prompttesting Objective: Evaluate a support-ticket classifier prompt against labeled examples. Inputs: labeled tickets, target categories and error costs. Deliverable: test set, scoring rubric and confusion matrix.

Reusable prompt template

/prompttesting Objective: Evaluate a support-ticket classifier prompt against labeled examples. Available materials: labeled tickets, target categories and error costs. Required output: test set, scoring rubric and confusion matrix. Acceptance test: include ambiguous and adversarial tickets; track false escalations. Boundary: Flag missing information and unverified assumptions; do not fabricate evidence. Return the requested deliverable first, then a brief verification checklist and any unresolved questions.

How to use this shortcut

  1. Collect the source inputs: labeled tickets, target categories and error costs.
  2. Run /prompttesting with the copy-ready task brief above.
  3. Request the concrete output: test set, scoring rubric and confusion matrix.
  4. Check the result: include ambiguous and adversarial tickets; track false escalations.

Quality checks and limitations

Acceptance criteria: include ambiguous and adversarial tickets; track false escalations. If inputs are incomplete, mark assumptions and verify the result before deployment.

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/texttovideo/imagetovideo

Worked example and expected output

Input materials: labeled tickets, target categories and error costs.

Requested result: test set, scoring rubric and confusion matrix.

Acceptance test: include ambiguous and adversarial tickets; track false escalations.

Worked example: Regression-test a customer support assistant

Illustrative deliverable: Write ten tests spanning ordinary questions, ambiguous refunds, missing policy, escalation and prompt injection.

Review and limitations

Track pass/fail with expected behavior and human review.

Applied workflow and review criteria

Real-world task: Evaluate a support-ticket classifier prompt against labeled examples.

Required inputs: labeled tickets, target categories and error costs.

Deliverable to request: test set, scoring rubric and confusion matrix.

How to validate the result: include ambiguous and adversarial tickets; track false escalations.

Scope and limitation: A small curated test set may not reflect real traffic.

Frequently asked questions

Is /prompttesting 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.