Voice features are easy to fake at the surface. A button lights up, something animates, maybe a permission is requested. That can create the illusion that the system is working even when the actual flow is broken somewhere deeper down.
AiHD hit exactly that trap. The early behavior reacted, but it did not reliably record, process, and hand back usable output. It looked more alive than it was. The important moment was when the system stopped being expressive and started being dependable.
That shift matters more than it sounds. In a product centered on low-friction capture, a fake-feeling voice input poisons trust immediately. A real one becomes part of the app’s emotional contract: you can say the messy first thought out loud, and the app will actually catch it.