A working AI demo is valuable, but a demo often hides the physical decisions that make a device possible. A chatbot, agent, model, or app may work well on a laptop, but the moment it becomes hardware, it has to answer practical questions.
How does it listen, see, respond, connect, charge, update, and survive daily use? These decisions shape the device form before the project can move into useful sourcing or sample discussion.
If the product is voice-led, microphone layout, speaker quality, wake behavior, latency, and network assumptions matter. If it is vision-led, camera placement, lighting, processing location, privacy, enclosure geometry, and thermal constraints matter.
Start with the interaction, then narrow the hardware route.
The first hardware conversation should not start with a random PCB quote. It should start with the interaction. Once the interaction is clear, the project can move into module options, enclosure direction, sample plan, and supplier conversation.
- A defined device role and primary user interaction.
- Core modules such as camera, microphone, speaker, sensor, display, connectivity, and battery.
- A sample plan that proves the key interaction before full product polish.