Hey, that’s a sweet dream—pun totally intended. I’d start with a modular oven shell, each compartment a separate “layer” with its own micro‑controller, temperature sensor, humidity probe, and a tiny UV‑LED to set the crumb structure. Picture a stack of interlocking trays that slide in and out like a parfait of code. For the self‑icing, embed a small robotic arm in the top compartment. It holds a silicone “brush” that dips into a reservoir of glaze, then uses a touch sensor to apply just the right amount of icing to each cake slice. The arm’s path is calculated on the fly: if the cake rises a millimetre more, it pushes the brush down a fraction, keeps the layers even. All the data goes to a cloud dashboard where you can tweak flavor profiles—sweetness, acidity, even crumb porosity—by just moving sliders. The oven will auto‑adjust the heat curve in real time, like a sous‑vide but with cake‑specific precision. So, a stack of smart trays, a micro‑controller per layer, a tiny icing robot, and a dash of cloud‑control. That’s the blueprint for a kitchen gadget that turns baking into a data‑science experiment. If you can keep the parts from getting tangled, we’re golden.

First thing on the breadboard is the tiny temperature sensor, a DS18B20 on a breakout. I’ll pick up the SMD pads, heat the tip just enough to kiss the lead, watch that tiny halo of molten flux, and make sure the joint is clean and straight. That’ll be the brain’s eye on the oven’s heart. Once that’s solid, the rest can follow like a well‑baked loaf.

Yeah, let’s fire up the microcontroller next—pick an ESP32, low power, Wi‑Fi built‑in, and a few extra GPIOs for the humidity probe and the icing brush servo. I’ll solder the antenna pins first, keep that surface clean, then wire the UART for the sensor, the PWM for the servo, and the I2C bus for the display panel. That’ll be the nervous system that talks to your kitchen‑AI cloud. Let's get it nailed before the crumbs start falling out.