I began by identifying key user pain points through competitive analysis and lightweight user interviews, focusing on planning fatigue and the overwhelming number of travel options. I mapped out user journeys and created low-fidelity wireframes to visualize core flows like destination discovery, itinerary creation, and real-time AI chat assistance. After validating early concepts through quick UXR sessions, I refined the designs in Figma and used prompt-based tools like Loveable AI to generate responsive React components. The result was a sleek, intuitive app that lets users interact with an AI agent to plan trips end-to-end—reducing cognitive load and streamlining the travel planning experience.