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In this short demo, our team walks through SkillBridge AI — a prototype platform we built as part of our MBA coursework in Emerging Technologies for Managers. The problem: academic institutions generate frequent micro-tasks, while students hold relevant, underused skills — with no structured system to match the two, or to fairly split compensation when a task involves more than one contributor. We used AI coding tools to move from concept to a fully interactive prototype — generating the interface, styling, and interaction logic through iterative prompting. This let our team spend more time on the strategic questions: what makes a match fair, and how compensation should scale with contribution, rather than on implementation mechanics. A practical look at how AI tools can compress the distance between an idea and a demonstrable solution. #EDREV #MGNM575 #Group[5] #Section[Q1P2411]

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