From Fuzozo to Pophie: What AI Companion Devices Teach Us About Building the Next Generation of IoT Products Lawrence Wu Lawrence Wu For decades, connected devices have been built around commands. A user presses a button. A sensor reports a reading. A mobile app sends an instruction. Even voice assistants largely followed the same pattern by waiting for a wake word before processing a request. A new generation of AI-native devices is changing that interaction model. Products like AI companions, consumer robots, assistive technologies, educational devices, and wellness products are expected to hold natural conversations, remember previous interactions, recognize different users, respond emotionally, and stay available throughout the day. Instead of reacting to isolated commands, they participate in continuous interactions. That seemingly small shift fundamentally changes the engineering requirements behind the device. Building these experiences is no longer just about integrating a language model. Developers must solve a new class of real-time systems problems involving latency, speech recognition, interruption handling, identity, memory, synchronization, and global infrastructure. Two recent products illustrate this particularly well: Robopoet's Fuzozo and InsBotics' Pophie. Although they target different audiences, they reveal a broader lesson about where IoT architecture is heading. When users are speaking naturally, every pause becomes noticeable. Conversations involve overlapping speech, interruptions, changing speakers, emotional tone, background noise, and long-running context. Unlike issuing a command to a device, conversation is continuous and highly sensitive to timing. The engineering challenge shifts from transmitting data efficiently to maintaining a believable interaction. Instead of optimizing only network throughput or cloud connectivity, developers must optimize something much harder: the flow of human conversation. Most engineers understand that lower latency improves responsiveness. For conversational devices, latency affects something deeper. It shapes whether an interaction feels natural. People instinctively expect conversations to flow without awkward pauses. Delays that might be