Ray Fernando demonstrates a transcription app that displays speech as textAutomatic speech recognition converts spoken language into text or structured linguistic output using signal processing and machine learning. on the device and works offlineOn-device inference runs an AI model directly on a user's phone, computer or edge device instead of sending each request to a cloud service.. He explains that saved text can be copied into other tools for further processing, and describes practical uses such as retaining notes from travel and appointments.
Ray Fernando shows how responsive layouts support different iPad window sizes and side-by-side applications, including dragging transcribed text into a browser. He connects this approach to using native platform APIsAn application programming interface is a defined way for software systems to request data or actions from one another. and says cloud coding agentsA cloud AI agent runs in remote managed infrastructure so it can access scalable compute, remain available, and execute several tools or tasks concurrently. allowed him to delegate development tasksAn AI coding agent is a tool-using AI system that can inspect, modify, and validate software within a repository. while away from his computer.
Ray Fernando also outlines a proposed workout tracker focused on recording sets, retaining exercise history and accepting voice or watch input. His emphasis is on reducing interaction during exercise rather than adding unnecessary AI features; this is a development plan, not a completed demonstration.
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