Magic – 1. Overview: "Magic" is a system in which users log in via facial and fingerprint recognition, and by issuing voice commands (spells) through a wand-type device, cloud-based voice recognition and code generation technologies process these commands in real time, enabling a general-purpose nanomachine (Snitch) to perform physical operations. Additionally, a magic power evaluation and classification algorithm analyzes the user's inner self (values, behavioral patterns) to assess whether they belong to the "magic clan" or the "non-magic clan," thereby providing users with a magical experience and personalized feedback. 2. Purpose: To help users achieve their goals by enabling code generation and execution through voice spells and physical operations via nanomachines—supporting a wide range of tasks such as image editing, data analysis, and IoT control; to democratize the magical experience by offering an intuitive environment that allows advanced operations without requiring specialized knowledge; to ensure a secure execution environment through strict authentication (facial and fingerprint recognition) and sandboxing using container technology for resource limitation and security; and to provide internal evaluation and feedback by analyzing users’ speech, behavior, and biometric data (e.g., serotonin levels) with a magic power evaluation algorithm, which then supports learning and offers feedback. 3. Components: Spell – the voice command that the user speaks; in the cloud, the voice is transcribed to text and interpreted to generate and execute corresponding code. Wand-Type Device – a dedicated terminal on which the user logs in via facial and fingerprint recognition to initiate voice input; it transmits voice and sensor data in real time to the cloud and displays operational results. General-Purpose Nanomachine (Snitch) – a swarm of nanomachines that, based on the executed code received from the cloud, performs physical operations such as self-repair, environmental adaptation, material reinforcement, and nano 3D printing. Magic Power Evaluation and Classification Algorithm – a system that analyzes the user’s speech, behavior, and biometric data to objectively assess whether they are bound by materialism ("non-magic clan") or prioritize spiritual richness ("magic clan"). 4. Overall Stack (Layered Architecture): The system is composed of four primary layers. Cloud Infrastructure Layer – acting as the core of the system, this layer handles voice recognition, code generation via large language models (LLM), authentication, execution within containerized environments, log management, monitoring, and the magic power evaluation algorithm; it processes the spells sent from users and performs appropriate actions. General-Purpose Nanomachine Layer (Snitch) – receives executable code from the cloud and performs physical operations such as movement, repair, and transformation through functions including self-repair, environmental adaptation, material reinforcement, and nano 3D printing. Wand-Type Device Layer (Edge) – serves as the user interface for the system; it enables secure login via facial and fingerprint recognition, initiates voice input, sends voice data to the cloud in real time, and receives feedback on operations, while also handling the generation of authentication tokens and feedback display. Spell Application Layer (UI/UX) – provides an interface where users input voice spells and can intuitively check the system’s status and results; it is designed for operation on smartphones or AR glasses with an emphasis on usability and immersive experience. 5. Data Flow (Scenario): During initial authentication, the wand-type device performs facial and fingerprint recognition; upon successful verification, an authentication token is generated and sent to the cloud, where it is validated and a user session is initiated. Once authenticated, the wand-type device enters a state ready to accept voice input, and the user speaks a spell (voice command), with the audio data transmitted to the cloud in real time. In the cloud, a voice recognition engine converts the speech to text, and an LLM analyzes the text to generate executable code, which is then run within a secure container environment. The execution results are sent to the nanomachine control API, prompting the Snitch to perform physical operations (such as movement, repair, or self-replication), with the outcomes fed back to the spell application and the wand-type device. Concurrently, the magic power evaluation algorithm analyzes the user's speech, behavior, and biometric data to determine whether they belong to the magic clan or the non-magic clan, and provides corresponding feedback. The session continues for a predetermined period, during which voice input can be provided without re-authentication; when the session ends or the user issues an end command, subsequent sessions require re-authentication. 6. Security and Operations: Biometric data (facial and fingerprint recognition) is processed securely within the wand-type device and is not transmitted externally; communications between the wand-type device and the cloud are protected using state-of-the-art encryption technologies; authentication tokens and private keys are strictly managed, with each communication undergoing verification based on a Zero-Trust architecture; the entire system is continuously monitored online, with mechanisms in place for anomaly detection and automatic recovery.