Lesson Content

jogg.ai command workflows should start with product, buyer, offer, proof, hook, objections, CTA, and platform. Good commands produce testable ad variants rather than one generic ad.

Professional Use Case: A course business creates three short video ad concepts for an AI training offer.

Student task: Use jogg.ai 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, Google Docs, 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 for three 20-second product video scripts with different hooks and the same CTA.

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.