Question.AI-Math Calculator by 3HOUSE represents a significant advancement in educational technology, positioning itself as an AI-powered problem-solving tool for iOS users. The application leverages artificial intelligence to provide instant answers and explanations across mathematical and academic queries, distinguishing itself through multimodal input capabilities and detailed solution breakdowns. The core functionality centers on two primary input methods: text-based questioning and image recognition. Users can either type questions directly or photograph problems using the device's camera, with the AI processing both handwritten and printed content. The system delivers not only final answers but comprehensive step-by-step explanations, making it particularly valuable for learning complex concepts. Additional features include subject versatility beyond mathematics, real-time processing, and contextual understanding of varied problem types. User experience demonstrates thoughtful design with a minimalist interface prioritizing accessibility. The camera integration operates with notable accuracy, recognizing problems from textbooks, handwritten notes, or digital screens. Real-world usage patterns show students frequently employing the app for homework assistance, test preparation, and concept reinforcement. The explanation quality receives particular praise for breaking down solutions into digestible steps rather than merely providing answers. User feedback trends overwhelmingly positive, with multiple five-star reviews highlighting specific strengths. Narally Mendivil (September 4, 2025) notes the app 'helps a lot if you don’t get what you’re working on,' while chchucxuigcugjjgci (September 5, 2025) emphasizes how 'it explains so well' with image-based processing. ZenixComp's review (September 3, 2025) raises ethical considerations by acknowledging potential misuse for academic dishonesty, though this reflects user behavior rather than app design. The application demonstrates strongest performance in educational support scenarios, particularly for middle school through undergraduate students. Limitations include potential overreliance preventing deeper learning, occasional recognition errors with poorly photographed materials, and the ethical considerations of automated problem-solving. Ideal use cases involve verification of manual work, understanding solution methodologies, and overcoming specific conceptual hurdles rather than complete assignment outsourcing.