能够记住你的 AI 职业顾问

Traditional mock interview systems are designed to simulate real hiring scenarios, but they often become monotonous due to a lack of memory functionality. The standard flow includes asking questions, receiving answers, and providing feedback, which works initially but leads to repetitive experiences for users. The core issue is not the questions themselves but the system's inability to retain previously asked questions, identified weak areas, and past performance trends. As a result, each mock interview feels like a fresh start, lacking the ability to improve and enhance the user's performance effectively.