You will launch your website project by testing early AI support against real user scenarios, choosing a meaningful website need, and setting up the research and revision habits you will use across the project.

You will investigate a real website need, capture evidence from a community partner, test what AI can and cannot do for that need, and turn your findings into a clear research brief and plan for the next build cycle.

You will turn your research into a design brief, generate multiple website directions, test low-fidelity prototypes with peers and your community partner, and complete two documented revision cycles that show what AI helped with, what it got wrong, and how your evidence shaped the next version.

You will refine your clickable website, test it with a fresh user lens, document what AI did well and poorly, and prepare a stakeholder-facing gallery walk that shows how your design decisions connect to user evidence, revisions, and next steps.

You will present your finished website to classmates, your community partner, and invited guests during a public gallery walk, explain how user research and AI shaped your decisions, gather final ratings and comments, and complete a concise reflection on what AI did well, where it failed, and how your testing improved the site.