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Designing Digital Performance with the Help of AI – Manual | CUBE

1. Preparation (approx. 10 – 15 minutes) 

Objective: Set the framework for a multi-step, tool-integrated creative process.

Steps:

  • Prepare accounts/logins for all tools: ChatGPT, HeyGen or D-ID, Canva, and CapCut.
  • Select a sample theme or performance idea to use as a shared example (e.g., “identity,” “fragmentation,” etc.).
  • Ensure participants have access to a device capable of basic media editing.

Checklist:

  • Access to all platforms confirmed.
  • Short guide or reference sheet with login links and basic tool instructions.
  • Optional: folders for organizing generated files.

2. Introduction to the Tools (approx. 15 – 20 minutes)

Objective: Present the capabilities of each tool and how they interconnect in a digital performance workflow.

Steps:

  • Showcase the dedicated tutorial.
  • Walk through the general process:

○ Idea & script creation → ChatGPT

○ Avatar video → HeyGen or D-ID

○ Visual design → Canva

○ Final video editing → CapCut

  • Share examples of finished digital performances using this method.
  • Discuss how each tool contributes creatively, not just technically.

Trainer Tip: Emphasize AI as a co-creator—helpful but still requiring human artistic vision.

3. Hands-on Practice (approx. 45 – 60 minutes)

Objective: Guide participants through the creation of their own short digital performance piece.

Steps:

  • Task 1: Use ChatGPT to generate a short script (30–60 seconds) based on a chosen theme or prompt.
  • Task 2: Import the script into HeyGen or D-ID to generate an avatar performer video.
  • Task 3: Use Canva to design a background, visual overlay, or graphic element that reflects the tone of the piece.
  • Task 4: Combine the avatar video and Canva visuals in CapCut; add transitions, sound, or text.

Trainer Tip: Keep the scope manageable—encourage a single, focused idea instead of trying to make a full narrative piece.

  1. Advanced Features and Creative Use Cases (approx. 15 – 20 minutes)

Objective: Encourage cross-tool innovation and discuss real-world applications.

Steps:

  • Show how additional layers (e.g. music, voiceovers, subtitles) can enrich the performance.
  • Explore collaborative possibilities: multiple avatars, user-generated text, or hybrid physical-digital presentation.
  • Discuss the aesthetic potential of “machine-made” content—embracing its imperfections or stylizing it intentionally.

Trainer Tip: Invite discussion on authorship, agency, and artistic control in AI-supported creative work.

5. Wrap-Up and Feedback (approx. 10 – 15 minutes)

Objective: Reflect on the end-to-end creative journey and collect insights.

Steps:

  • Invite participants to share their final video (or a work-in-progress version).
  • Reflect on how the combination of tools changed their process or perspective.
  • Collect thoughts on practical challenges, unexpected outcomes, and future interest.

Post-Training Follow-Up

  • Share step-by-step documentation or video walkthroughs for each tool used.
  • Share the dedicated DIGITAL on STAGE tutorial.
  • Encourage participants to iterate on their project and share final versions in a group showcase.
  • Provide links to communities or platforms where AI-generated performance work is explored.

Trainer Tip: Suggest participants document their workflow—what worked, what surprised them, what they’d do differently next time.