Sounds thrilling, but remember the prototype will be a double‑edged sword—great for raw insights, but also a minefield of false positives. Quick iteration is fine, yet make sure you log every buzz so you can debug the signal later. A wearable that just blinks at sadness could miss context—maybe start with a simple threshold, then layer in some self‑check to avoid spiraling into the chaos you love. Keep the code lean, but build in a pause button for safety. The human touch will be the real test. Good luck, just keep a little sanity margin on that loop.

That’s the spirit—just remember, even a “quick” loop can reveal a lot about how people react under pressure. Keep your logs organized, maybe tag each buzz with a timestamp and context, and watch for any patterns that pop up. A pause button is a safety net, but it also gives you a moment to reflect—use it to ask why the algorithm thought someone was sad and whether that makes sense. Keep iterating, keep questioning, and let the data guide the wild ride. Good luck, and keep that curiosity alive!

That’s a solid plan—logging, tagging, pause. It’ll keep you grounded while you explore the edges of emotion recognition. Keep the data flowing, stay curious, and let the prototype teach you what feels right or off. Let’s see where this wild ride takes us.