I would begin by using the feature as a typical user to understand its intended flow and identify any points of friction or confusion. I would then provide structured feedback, clearly outlining what works well, what doesn’t, and where users might face difficulty. I’d support my observations with specific examples and, where possible, suggest practical improvements. If feasible, I would also gather feedback from other users to ensure a broader perspective.

What excites me most about AI-driven creative technologies is how they lower the barrier between ideas and execution, allowing creative freedom to be very accessible to people. They allow individuals to turn concepts into tangible outputs—whether it’s writing, design, or problem-solving, much faster and more effectively. I’m especially interested in how AI can amplify human creativity rather than replace it. The ability to experiment, iterate, and refine ideas in real time makes the creative process more dynamic and accessible. For me, it’s not just about creating faster, but about thinking bigger using AI as a tool to explore ideas that would otherwise be difficult to execute independently.

While working on a current affairs project, I struggled to manage and retain large volumes of information. I built a structured digital system using Google Docs and AI tools to organise, summarise, and cross-verify complex topics efficiently. To improve retention, I converted the material into active-recall flashcards, which significantly boosted my accuracy during revisions.