After this lesson, you will be able to: Apply everything by designing, building, testing, and presenting a real AI-powered project.
Capstone project. Pick an idea, scope it, build it with API + (optional) tools, test it, and present. The point isn't novelty, it's shipping something real and learning from the friction.
Personal: study buddy that quizzes from your notes. Productivity: meeting summarizer that emails action items. Creative: code review bot that comments on your PRs. Educational: explainer that adapts to your level.
1. Define the user + problem (1 sentence).
2. Sketch the prompt + output format.
3. Prototype on a chat UI first.
4. Move to API once prompt is solid.
5. Build minimal UI (Streamlit, Next.js).
6. Add eval set: 5-10 inputs with expected behavior.
7. Deploy somewhere (Vercel, the in-browser editor).
8. Test with one real user.
9. Iterate based on real feedback.
Demo: 1-minute live walkthrough. Architecture: 1 diagram. Hard problem: what was the toughest bug? What you'd do differently: lessons learned.
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