Can This $300 Three-in-One AI Wearable Replace Your Phone?

For nearly two decades, smartphones have trapped our digital lives inside a glowing glass rectangle. Now, a new wave of AI hardware is desperate to break us out. Instead of forcing a completely bizarre form factor on users, one Chinese startup is trying a more pragmatic approach: infusing AI into the tech we already wear every single day.

Enter the industry’s first "all-sense" wearable system powered by a native AI operating system (AIOS). Packed into a unique combination of open-ear headphones, a camera, and a smartwatch, this $300 ecosystem promises a screen-free future. After putting this setup through a rigorous 72-hour test, we found a device brimming with potential—but the road to replacing your phone is still incredibly bumpy.

 

 

Meet the Ecosystem: A Three-Piece Power Trio

This isn’t just a simple pair of wireless earbuds. It is an interconnected, three-part ecosystem designed to split up sensory, computing, and display tasks seamlessly.

Component	Key Hardware Specs	Core Role in the AI Ecosystem
Open-Ear Earbuds	11g each, 2MP camera, 88° wide-angle lens	The Senses: Sees your environment and listens to voice commands.
Charging Case	Independent eSIM, dual-band GPS	The Brain: Handles local processing and connects to the cloud.
Smartwatch	1.97-inch AMOLED display	The Face: Displays notifications, biometrics, and glanceable info.

A Note on Privacy: To ease tracking anxieties, the earbud camera is strictly reserved for AI interaction. You cannot use it to take personal photos or videos, meaning your data stays hidden from prying eyes.

Smart Notifications and Ecosystem Walled Gardens

On the software side, the device shines as an intelligent information filter. It automatically digests lengthy message threads from productivity apps like WeChat and Feishu (Lark), surfacing only high-priority alerts so you can stay in the zone.

Even better, it identifies actionable items in real-time. If you receive a meeting invite, the AI proactively asks to log it onto your calendar and tracks local traffic to remind you exactly when to leave.

However, there is a catch. This seamless cross-app magic relies heavily on third-party API integrations, which means tech giants could easily shut down functionality within their walled-garden ecosystems.

The AI Camera: Brilliant Concept, Painful Lag

The standout feature on paper is the earbud-mounted camera, which is meant to give the AI real-world vision. Imagine looking at a restaurant to instantly pull up its menu, or glancing at a product to add it to your shopping cart.

Unfortunately, in practice, this was the most frustrating part of the experience. The workflow is painfully sluggish. You have to wake the camera, wait 8 to 10 seconds for it to snap an image, and then sit through another 10+ seconds of cloud processing before getting audio feedback.

This latency bottleneck boils down to a few engineering challenges. Keeping an always-on sensor efficient requires low power, and relying on a standard 4G eSIM connection to send files to the cloud slows things down. Shifting basic workloads to on-device processing and upgrading to 5G will be mandatory for the next generation.

 

 

Location and Biometrics: Where the Magic Appears

While the visual AI lagged, the device’s context-aware triggers worked flawlessly. The system uses GPS and biometric data beautifully to deliver timely, helpful prompts without making you lift a finger.

For instance, you can tell the assistant to remind you to pick up groceries the next time you walk near a supermarket, and the location trigger hits the mark every time. During workouts, you can set a heart-rate threshold on the smartwatch. If your pulse spikes too high, the earbuds instantly advise you to slow down or take a breather.

The Catch: You’re Tethered to the Charging Case

One major design hurdle is the system’s total dependence on the charging case. Because the case handles the bulk of the computing and connectivity, leaving it behind means your AI services instantly go dead.

Mainstream earbud users are used to throwing on their buds and leaving the case on a desk or at home. Forcing users to pocket a bulky charging case just to keep the AI alive feels like a step backward for true wireless freedom.

The Immersion Paradox: Can Audio and AI Coexist?

This hardware wants to break away from Apple’s philosophy, where the iPhone remains the center of the universe. The ultimate goal here is a standalone system that entirely replaces your phone.

While technical limitations like latency and closed app ecosystems will inevitably improve, a deeper usability clash remains. Headphones are traditionally designed to create a private, immersive audio bubble. An active AI assistant, by its very nature, must constantly interrupt that bubble to deliver value. Solving this experiential friction is the biggest challenge facing AI audio tech today.

Heyup’s Verdict

At roughly $300, this ambitious wearable system isn't going to make your smartphone obsolete just yet. However, it successfully cracks open the door to a post-smartphone future.

It provides a fascinating, tangible look at a world where voice commands and smart agents manage our complex tasks seamlessly. As a pioneer, this device gives us an exciting glimpse of tomorrow—even if the path to get there needs a lot more paving.