The most visible feature is the 4.3-inch capacitive touchscreen on the front, giving direct, tactile access to whatever you're running. Alongside it are a 5MP adjustable camera module, stereo speakers, a USB microphone, and a 3.5mm audio jack, all included in the box.
For decades in SAAS, products reduced ambiguity. Users supplied constrained inputs, and the system handled the output. It's never been Minority Report cinematic, but it was predictable. By providing predictable environments for manipulating data, users learned by moving things, adjusting variables - and the outcome emerged through interaction.
RAM prices are skyrocketing, driving up the cost of products that rely heavily on memory. The price of Raspberry Pi boards has now soared to the point where two 16GB Raspberry Pi 5 boards will cost you as much as a new laptop.
What separates this from a standard Raspberry Pi build is the pair of breadboards soldered directly to the GPIO pins, seated inside the case, and accessible through a removable back panel. Connecting a sensor no longer means hunting for a separate breadboard and a tangle of jumper wires. PickentCode plugged in a temperature and humidity sensor and had it reading live data within minutes.
After some investigation, I found that Home Assistant has an integration with Node-RED - a graphical tool for manipulating data and event streams. It could probably satisfy most of my needs. But from time to time I remember that I'm a professional software developer, working with event streams for many years, and for this kind of problem there's nothing better than math (and Scala's type system, which supports it very well).
The normative form for interacting with what we think of as "AI" is something like this: there's a chat you type a question you wait for a few seconds you start seeing an answer. you start reading it you read or scan some more tens of seconds longer, while the rest of the response appears you maybe study the response in more detail you respond the loop continues
All of the appliances and systems are brand-new: the HVAC, the lighting, the entertainment. Touch screens of various shapes and sizes control this, that, and the other. Rows of programmable buttons sit where traditional light switches would normally be. The kitchen even has outlets designed to rise up from the countertop when you need them, and slide away when you don't.
Nano Banana Pro (Gemini 3 image model) is particularly strong for UI design because of its 99% text accuracy, its ability to understand spatial layout, and its support for high-resolution 4K output. In this article, I want to share my 5 favorite cases of using this model for UI design tasks. ( Quick note: I won't dive into a critique of the output generated by AI in this article, letting you decide whether you like it or not)
Having a remote for smart home devices may seem redundant. I always get asked, "Why not just use a regular light switch?" And I respond by saying that smart remotes can do more than just flipping the light switch. A single button on a smart remote can control multiple devices with different settings, like running a bedtime routine or switching on all devices in a room.
Autonomy is an output of a technical system. Trustworthiness is an output of a design process. Here are concrete design patterns, operational frameworks, and organizational practices for building agentic systems that are not only powerful but also transparent, controllable, and trustworthy. In the first part of this series, we established the fundamental shift from generative to agentic artificial intelligence. We explored why this leap from suggesting to acting demands a new psychological and methodological toolkit for UX researchers, product managers, and leaders.