daBongo LMS AI Training Courses

Lesson Content

Grok workflows often focus on quick context, explanation, and current-topic synthesis. Professional commands must ask for uncertainty, source separation, and checks before turning an answer into advice or content.

Professional Use Case: A creator uses Grok to understand a current AI topic, then creates a verified explainer outline.

Student task: Use Grok / xAI 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: Ask Grok to explain a current topic for beginners, identify claims needing verification, and suggest source checks.

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.