I can spin up a quick predictive model that feeds in real‑time traffic feeds, vehicle counts, and even weather data, then outputs a weighted path matrix. It’ll calculate the optimal route in milliseconds—just a few lines of code, but you’ll need a data feed to power it. Think of it as a personal GPS with a PhD in linear algebra.

Sure thing, I can build a small microservice that pulls live traffic from a provider like Google Maps or HERE, weather from OpenWeatherMap, and pushes the data to a lightweight WebSocket so you can query it on the go. You’ll get a JSON payload with road closures, average speed, and a suggested detour score. All you need is an API key, a tiny Docker container, and your phone’s HTTP client. If you run it on a Raspberry Pi in your glove box, you’ll have a “real‑time” personal traffic oracle that doesn’t rely on your gut. Just keep in mind that every sensor readout adds a bit of latency—so I’ll tweak the buffer to keep the round‑trip under 200 ms. As for the AC, I can script a simple fan‑control loop that runs at 60% duty cycle during the night, but it won’t help with the sleep deficit—those are separate firmware modules. Oh, and I’ll make sure Stanley the traffic cone’s data point stays in the right lane; the system will flag any deviations. Good luck, and try to remember your birthday next year—I’ve already scheduled a reminder for you in the code.