Large language models (LLMs) transformed how we interact with devices. From smart speakers to in-car assistants to enterprise platforms, conversational AI is becoming more capable, more human-like, and (at times) more intrusive each and every day. The appeal is convenience, but when these systems “forget to turn off” or interject when not invited, they cross a line between helpful and invasive.
The culprit isn’t always the model itself. Often, it’s the design choice to remove—or never implement from the start– wakewords.
Some companies assume that conversational AI is advanced enough to be “always on” and “always listening.” In theory, that makes the experience more natural. In practice, it can feel like surveillance. Users don’t want their devices constantly monitoring every word in their home, office, or car.
A well-designed wakeword solves this problem. It gives people a clear signal of when the device is listening, and it prevents unwanted activation. Without it, users are left wondering: Was that response intentional, or was my device eavesdropping again?
Some models begin by analyzing everything (which can cost millions), and then turn off the wakewords if there is no interaction. This makes conversation and access more cumbersome, and can even remove handsfree access once turned off. Others choose to remove the wakeword from the start. Removing the wakeword entirely might seem futuristic and high tech, but it’s a shortcut that undermines trust. Consumers value privacy and control. An always listening, low-power wakeword provides both.
At a high level, a wake word engine acts like a gatekeeper in front of an LLM. Instead of sending every spoken word to the cloud for analysis, the system uses a lightweight model that runs directly on the device.
Here’s why that matters:
In short: the wakeword is not a limitation—it’s an intelligent filter that balances usability, efficiency, and privacy.
That doesn’t mean you always need to require a wakeword to activate the device. In some scenarios, like an emergency where a driver says, “Call 911”, it makes sense for the AI to engage without waiting for a wakeword. But even then, the option to have one should exist. Choosing not to include a wakeword at all removes a critical safeguard and erodes confidence.
Think of it this way: wake words are like seatbelts. You may not always feel you need one, but you’ll want it there when the unexpected happens.
This is where Sensory comes in. Our technology ensures that devices powered by LLMs only listen when they’re supposed to. Because it runs entirely on-device, private conversations never need to be streamed to the cloud just to wait for a trigger. That means stronger privacy, lower latency, and a more trustworthy experience.
With Sensory, developers don’t have to choose between cutting-edge AI and user trust. They can deliver natural, conversational interactions while giving users control over when and how their devices listen.
As LLMs become more integrated into everyday life, the difference between helpful and intrusive will come down to thoughtful design choices. To address these design choices, Sensory’s upcoming “smart wakewords” will intelligently turn on or off, automating and improving parametric controls.
Wake words, hotwords, and biometrics may feel like old technology, but they remain one of the most important tools for protecting user privacy and confidence. The companies that skip them entirely are making a big mistake. The ones that integrate them intelligently will earn lasting trust.