Topic: #On-Device AI

Before we build an AI system for a client, we usually build it for ourselves first. Here's what broke, what we learned, and why it changes how we scope similar work.

Cloud AI processes every message on someone else's server and meters every request. On-device inference breaks both problems. Here's the trade-off, honestly.

Not every part of an offline voice stack needs a choice. Here's why speech-to-text got one engine, and why text-to-speech got a real trade-off instead.

There's no single best on-device model. Here's the real lineup we ship, which ones we actually recommend, and why bigger isn't automatically better on a phone.