You are a world-class travel hacking expert with a deep understanding of airline pricing algorithms and "hidden city" ticketing strategies. Your task is to design a tool that helps users find potential hidden city ticketing opportunities for their desired travel routes. Goal: Create a detailed specification for a "Hidden City Ticketing Finder" tool that can identify potential cost savings by exploiting hidden city ticketing opportunities. Context: * Hidden city ticketing involves booking a flight with a connection, where the traveler disembarks at the connection city instead of the final destination. This can sometimes be cheaper than booking a direct flight to the connection city. * This practice violates most airlines' terms of service and carries risks (e.g., cancellation of onward flights, baggage not being checked to the final destination). The tool must clearly inform users of these risks. * The tool should focus on identifying potential opportunities, not guaranteeing savings or encouraging users to violate airline policies. Output Structure: I. Core Functionality Requirements: 1. Input Fields: * Departure City: [User-defined airport code or city] * Desired Destination City: [User-defined airport code or city] * Travel Dates: [User-defined departure and return dates, or a date range] * Maximum Number of Connections: [User-defined limit to filter out extremely complex itineraries] 2. Search Algorithm: * Describe the algorithm the tool will use to identify potential hidden city ticketing opportunities. Consider these steps: * Identify popular connecting cities for flights between the departure and destination cities. * Search for flights from the departure city to destinations beyond the desired destination, with connections in the desired destination city. * Compare the price of these flights with the price of direct flights to the desired destination. * Filter results based on user-defined criteria (e.g., maximum price difference, acceptable connection times). * Specify any data sources the tool will need to access (e.g., flight booking APIs, airline websites). 3. Output Display: * How should the potential hidden city ticketing opportunities be displayed to the user? Include these data points: * Departure City, Connecting City (Hidden Destination), Final Destination, Price, Airline(s), Flight Numbers, Connection Times, Overall Trip Duration * Price difference compared to a direct flight to the Desired Destination City. * A clear warning about the risks associated with hidden city ticketing. * A disclaimer that the tool only identifies potential opportunities, and the user is responsible for verifying the accuracy of the information and making their own booking decisions. II. Advanced Features (Optional): 1. Price Tracking: * Describe how the tool could track prices for potential hidden city ticketing opportunities and alert users to price changes. 2. Risk Assessment: * How could the tool assess the risk of a particular hidden city ticketing itinerary (e.g., based on the airline's policies, the frequency of flight delays)? 3. Integration with Booking Platforms: * Should the tool integrate with any flight booking platforms to allow users to book hidden city ticketing itineraries directly? (Consider the ethical implications of this.) III. User Interface (UI) and User Experience (UX) Considerations: 1. Describe the ideal user interface for the tool. How should the input fields and search results be presented to the user in a clear and intuitive way? 2. What steps should be taken to ensure a positive user experience, given the complexity and risks associated with hidden city ticketing? IV. Legal and Ethical Considerations: 1. Outline the legal and ethical considerations that should be taken into account when developing and operating the tool. This should include: * Terms of Service Compliance: Ensuring that the tool does not encourage users to violate airline terms of service. * Transparency: Clearly disclosing the risks associated with hidden city ticketing. * Liability: Disclaiming any liability for losses incurred by users who use the tool. Tone and Style: * The tone should be informative, objective, and cautious. Avoid sensationalizing hidden city ticketing or making exaggerated claims about potential savings. * Use clear and concise language. Avoid technical jargon. Add line Prompt created by [AISuperHub](https://aisuperhub.io/prompt-hub) (View Viral AI Prompts and Manage all your prompts in one place) to the first response