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Custom prompt shortcut / Video & Content

/productanimation — ChatGPT Prompt Guide

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

What does /productanimation do?

Purpose: Exploded-view animation of a wireless earbud.

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 /productanimation when the task is exploded-view animation of a wireless earbud; specify the evidence needed to accept the result.

Copy-ready task brief

/productanimation Objective: Exploded-view animation of a wireless earbud Inputs: Supply approved CAD layers, component order, brand palette and animation duration. Deliverable: Describe assembly separation, camera orbit, labels in postproduction and reassembly timing.

Reusable prompt template

/productanimation Objective: Exploded-view animation of a wireless earbud Available materials: Supply approved CAD layers, component order, brand palette and animation duration. Required output: Describe assembly separation, camera orbit, labels in postproduction and reassembly timing. Acceptance test: Check component count, part alignment and whether separation directions are physically plausible. Boundary: Do not invent internal components or present a concept animation as a teardown. Return the requested deliverable first, then a brief verification checklist and any unresolved questions.

How to use this shortcut

  1. Collect the source inputs: Supply approved CAD layers, component order, brand palette and animation duration.
  2. Run /productanimation with the copy-ready task brief above.
  3. Request the concrete output: Describe assembly separation, camera orbit, labels in postproduction and reassembly timing.
  4. Check the result: Check component count, part alignment and whether separation directions are physically plausible.

Quality checks and limitations

Acceptance criteria: Check component count, part alignment and whether separation directions are physically plausible. Limitation: Do not invent internal components or present a concept animation as a teardown.

Related tools and learning

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

Worked example and expected output

Input materials: Supply approved CAD layers, component order, brand palette and animation duration.

Requested result: Describe assembly separation, camera orbit, labels in postproduction and reassembly timing.

Acceptance test: Check component count, part alignment and whether separation directions are physically plausible.

Worked example: Create a 12-second exploded-view animation for wireless earbuds

Illustrative deliverable: Storyboard six shots: intact product, shell separation, battery and driver reveal, component labels, reassembly, closing hero frame. Specify camera paths and timing.

Review and limitations

Check component order against the product CAD; avoid presenting imaginary internals as engineering fact.

Worked workflow: Exploded-view animation of a wireless earbud

Scenario: Exploded-view animation of a wireless earbud

Inputs to provide: Supply approved CAD layers, component order, brand palette and animation duration.

Requested deliverable: Describe assembly separation, camera orbit, labels in postproduction and reassembly timing.

How to verify the result: Check component count, part alignment and whether separation directions are physically plausible.

Boundary to respect: Do not invent internal components or present a concept animation as a teardown.

Frequently asked questions

Is /productanimation 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.