Imagine having a travel agent that knows exactly what you want before you even tell them. That's the promise of a new AI system called APEC-Travel, developed by Meta researchers. This innovative agent goes beyond simple booking; it engages in a multi-round dialogue with you, proactively uncovering your hidden travel preferences. Instead of just asking for dates and destinations, APEC-Travel delves deeper, learning about your interests, travel style, and even accessibility needs. It prioritizes your must-haves, clarifies vague requests, and efficiently gathers information to craft the perfect trip. This is achieved through a novel approach called the "APEC Agent Constitution," a set of principles guiding the AI's behavior to ensure accuracy, proactivity, efficiency, and credibility. APEC-Travel is trained on a massive dataset of synthetic dialogues, simulating interactions with travelers from diverse backgrounds. The results are impressive, with APEC-Travel significantly outperforming baseline models in understanding traveler preferences and planning more satisfying itineraries. This technology has the potential to revolutionize travel planning, offering a truly personalized experience that saves time and reduces the stress of organizing a trip. However, challenges remain, such as potential biases in the training data and the need for robust error handling. Further research will focus on integrating external tools, like flight and hotel booking APIs, to create a fully autonomous travel agent capable of handling every aspect of your trip planning.