HeyGen Command Workflows – Avatar Video Scripts and Review Gates
Lesson 1: Command Thinking for HeyGen
Lesson Objectives
By the end of this lesson, students should be able to:
- Explain what a command is in this provider context.
- Distinguish real commands from natural-language requests and UI buttons.
- Write a command request with role, source, desired output, constraints, and acceptance checks.
Lesson Content
HeyGen commands should describe audience, avatar role, script, pacing, visual context, brand constraints, and disclosure needs. Avatar video should not be used deceptively or with unclear consent.
Professional Use Case: A trainer creates a short welcome video for a course module with consistent voice and brand.
Student task: Use HeyGen with practice material you are comfortable sharing. Perform the use scenario below. Copy the first answer into a text editor or notes document. Then write one clarification prompt that tells the AI exactly what to improve. Student task help: Use pretend, public, or low-risk practice material. Copying the first AI answer into a text editor means pasting it into Notepad, Word, or another notes file so you can compare it with your revised answer. A clarification prompt is a short follow-up that tells the AI what to fix, add, remove, or explain. Example clarification prompt: "Make this easier for a beginner, add one concrete example, and show the next three steps as a checklist."
Starter scenario: Draft a 60-second avatar lesson intro with audience, tone, and scene direction.
Troubleshooting: If the command is unavailable, check whether it depends on a workspace, paid plan, enabled tool, file type, browser/app context, or region. If the output is shallow, add source material, examples, exclusion rules, and a definition of done. If the output contains claims, verify against an authoritative source before using it.
Quality Rubric:
- The command includes enough context to prevent generic output.
- The result is tied to a real deliverable.
- The student records at least one verification step.
- Sensitive data is removed or minimized.
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