Tesla Robotaxi represents the automotive manufacturer's ambitious entry into autonomous ride-hailing services, leveraging its existing fleet of sensor-equipped vehicles. The iOS application serves as the primary interface for summoning and managing fully driverless transportation, positioning itself as a premium alternative to conventional ride-sharing platforms through its emphasis on autonomy and Tesla's proprietary technology stack. The application's core functionality centers on three primary components: ride summoning through an intuitive map-based interface, vehicle tracking with real-time ETA projections, and seamless payment processing via integrated Tesla accounts. Users can specify pickup/dropoff locations, monitor approaching vehicles through high-fidelity visualizations showing the car's perceived environment, and adjust climate controls pre-arrival. The system integrates with Tesla's neural network-based autonomy system, providing continuous updates about the vehicle's operational status and any required passenger interventions. User experience reflects Tesla's minimalist design philosophy, featuring large touch targets, high-contrast typography, and reduced cognitive load through contextual interface elements. The application maintains persistent connection with vehicles during trips, allowing passengers to modify destinations mid-ride or request emergency assistance through dedicated hardware buttons within the vehicle. Real-world usage patterns indicate strongest adoption during business commute hours and airport transfers, with users reporting particular appreciation for the consistent vehicle quality and predictable pricing model absent surge pricing mechanisms. As a newly launched service, comprehensive user feedback remains limited pending broader regulatory approval and geographic expansion. Early testers in approved operational domains have reported generally positive initial experiences with the booking reliability and vehicle technology, though some have noted occasional conservative driving behaviors in complex urban environments. The absence of substantial public review data necessitates continued observation as service availability expands to broader markets and user bases. The application's primary strengths lie in its seamless integration with Tesla's ecosystem and advanced autonomous capabilities, though limitations include geographic availability constraints and dependency on regulatory approvals for expansion. Ideal use cases involve urban transportation in approved operational domains where users prioritize consistency and technological sophistication over lowest-cost options. The service particularly suits existing Tesla owners seeking integrated mobility solutions and early adopters interested in autonomous transportation technologies.