Session Teaching Card
Build With AI
How can AI help turn intent into a working product?
Objective
Use Codex or related tools to turn the designed concept into a working product.
Method
Codex-supported product build
Evidence
Product v1
Setup Notes
- Prepare a responsible AI workflow: intent, context, prompt, review, revise, verify.
- Have students bring their promise, journey map, wireframe, and prototype evidence.
- Set rules for privacy, attribution, and human ownership of final choices.
Key Teaching Points
- AI can accelerate building when students provide clear direction.
- The student remains responsible for purpose, audience, quality, and verification.
- Good prompts include context, constraints, desired behavior, and review criteria.
Activity Guidance
- 1Model a prompt that includes audience, promise, constraints, and artifact goal.
- 2Students direct AI-assisted building from their existing design evidence.
- 3Students annotate one place where they accepted, rejected, or revised AI output.
Discussion Prompts
- What context does AI need before it can help responsibly?
- Where did your direction shape the output?
- What must you verify before trusting the result?
Reflection
Where did my direction shape the result?
Teacher Watch
Do not let students outsource judgment. Ask why each major choice belongs.
Support
Provide a prompt frame and review checklist for students new to AI tools.
Extension
Ask students to compare two AI-generated approaches and justify the chosen path.