{"id":11782,"date":"2026-01-13T02:15:46","date_gmt":"2026-01-13T02:15:46","guid":{"rendered":"https:\/\/microvibenews.com\/?p=11782"},"modified":"2026-01-13T02:15:46","modified_gmt":"2026-01-13T02:15:46","slug":"hands-on-with-bee-amazons-latest-ai-wearable","status":"publish","type":"post","link":"https:\/\/microvibenews.com\/?p=11782","title":{"rendered":"Hands-on with Bee, Amazon’s latest AI wearable"},"content":{"rendered":"


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In early tests with a review unit of Bee<\/a>, we found the device itself was easy to use. It\u2019s just a press of a button to turn recording on or off. In the app, you can configure whether a double press bookmarks a section of the conversation, processes the current conversation, or both, and you can set whether a press and hold gesture lets you leave a voice note or chat with the AI assistant. (Bee\u2019s companion app currently reminds you to enable voice notes, so we did.)<\/p>\n

Like many other AI products and services, such as Plaud<\/a>, Granola<\/a>, Fathom<\/a>, Fireflies<\/a>, Otter<\/a>, and more, Bee can listen, record, and transcribe audio conversations. Where it differs is that instead of offering an overview or a raw transcript, it segments the audio into sections and summarizes each part. For instance, an interview might be segmented into sections like the introduction, the nitty-gritty product details, an overview of industry trends, and whatever else you may have talked about.<\/p>\n

Each section is tinted with a different background color for easier differentiation as you scroll. You can tap into an individual section to see the exact transcription. <\/p>\n

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Image Credits:<\/strong>Bee screenshot<\/span><\/figcaption><\/figure>\n

It wasn\u2019t immediately obvious how to label the speakers in the app \u2014 we learned we could tap on a segment of the conversation to confirm if we were the speaker, but this fell short of other professional AI transcribers, where each speaker could be labeled. In addition, Bee discards the audio after transcription, making it a non-starter for use cases where you need to play back the audio to ensure accuracy. <\/p>\n

That said, Bee isn\u2019t necessarily meant to be a work tool. Amazon sees this as an AI that can live alongside you as you go about your day. By integrating with Google\u2019s services, Bee can tie a recorded conversation to a task. For instance, after meeting someone at a conference, it could suggest that you friend them on LinkedIn or research their product.<\/p>\n

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Image Credits:<\/strong>Bee screenshot with redacted personal data<\/span><\/figcaption><\/figure>\n

You can also leave yourself voice notes, as an alternative to writing something down in your notes app, for instance. <\/p>\n

Another section in Bee\u2019s app lets you look back at past days\u2019 memories, while a \u201cGrow\u201d section will offer insights the more it learns about you. You can also confirm and add to a \u201cfacts\u201d section about yourself, which is somewhat equivalent to other AI chatbots\u2019 ability to remember things you discussed. <\/p>\n

Amazon says it will be shipping more features for Bee in the year ahead.<\/p>\n

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Image Credits:<\/strong>Bee screenshot<\/span><\/figcaption><\/figure>\n
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Image Credits:<\/strong>Bee screenshot<\/span><\/figcaption><\/figure>\n

Bee isn\u2019t<\/em> always listening by default, which is why rival wearables like the Friend AI pendant saw backlash<\/a>. Instead, you\u2019re meant to ask if you can record someone\u2019s conversation (unless at a public event of some sort, where recording is already expected). <\/p>\n

When you do record, a green light turns on, alerting others to the fact that the device is in use.<\/p>\n

Bee\u2019s sports band was a little flimsy. The band fell off twice while being worn, both times while just sitting and not moving the hands much (like in a taxi). We have not yet tested the clip-on pin, but it feels more sturdy. <\/p>\n

Overall, the mobile app\u2019s design is far ahead of the apps Amazon has built in-house, like the Alexa mobile experience, and it\u2019s easy to use. But the premise that we need an AI specifically to record conversations to learn more about us is still largely untested. Is there a world where such devices make sense for consumers who aren\u2019t recording in professional settings, like meetings and interviews?<\/p>\n

Plus, if AI listening devices go mainstream, there will also have to be some sort of cultural shift in terms of what\u2019s appropriate and what\u2019s not. Today, it\u2019s somewhat looked down upon to record video of everyday people going about their lives, even though it\u2019s technically legal when they\u2019re in public; similarly, it may be considered tasteless or gauche to record audio with an AI device if you don\u2019t first ask permission.<\/p>\n

Not everyone will abide by that social contract, of course, which could see people self-censoring their speech in public. <\/p>\n

At CES, for instance, we were chatting with a rep at the Soundcore booth. When they liked something I said about a competitor\u2019s product, they joked, \u2018Say that louder into my microphone,\u2019 pointing to the already-recording AI device subtly pinned to their shirt. It was an odd experience to realize that everything said in the real world could one day be \u201con the record,\u201d whether you consented or not.<\/p>\n

Bee\u2019s traction \u2014 or lack thereof \u2014 will help Amazon determine if that\u2019s a world that consumers actually want.<\/p>\n<\/div>\n


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