×
Smart Glasses Are Eyeing the One Thing People Hate More Than Being Spied On
                If you don’t like the idea of someone recording you discreetly, you probably don’t like smart glasses. Video and photo capture are easily some of the most divisive aspects of the form factor, if not the most divisive. However divisive the recording part is, though, there are unifying aspects of smart glasses with cameras—things that fans and critics can hate together. Take subscriptions, for example.

 As noted by Wired, L’Atitude 52°N, a smart glasses company that successfully crowdfunded last year, just launched its Berlin model of AI specs, which is set to go on sale May 26, and they have one tiny little quirk that I haven’t seen yet, or at least not to this extent: the AI features on the smart glasses (a good deal of the stuff that might actually convince you to buy them) will all be paywalled after a year’s trial. © L’Atitude 52°N Per Wired, which spoke to L’Atitude 52°N CEO Gary Chen, there’s no word on how much the 9 smart glasses’ subscription will cost, but if you don’t pay up, Berlin will be limited to “base features,” which include playing music and capturing media. I guess anyone interested in buying Berlin will have to be okay with a looming, unknown cost down the road. It’s an interesting choice for a company that positions its smart glasses as being ideal for travel, pitching stuff like an “AI tour guide” that uses computer vision to provide information on your surroundings as a centerpiece of that travel functionality. Outside of a tour guide, the Berlin smart glasses also appear to lean into translation and a voice assistant in the AI department.

 On the bright side—call it transparency if you want—at least Chen is being honest about future ambitions to squeeze recurring profits out of anyone who buys the company’s smart glasses. A lot of the time, that’s just an unacknowledged minefield customers unknowingly step onto when buying any gadget with a cloud service.

 If you’re okay with potentially having to cough up a monthly sum to get the most out of your smart glasses, the Berlin look like a decent pair, but not quite the best. There’s no screen, but there’s a 12-megapixel camera, which is the same as the Ray-Ban Meta AI glasses, though there’s a significant difference in capture resolution. The Berlin have a max recording resolution of 1080p, while the Ray-Ban Meta AI glasses can record in 3K. They do look stylish, or at the very least unique, and if they can compete on open-ear audio, they might be a worthy consideration even with that very annoying subscription caveat. I’m skeptical that smart glasses are practical enough to justify paying for monthly, but I guess the only way to find out is by adding to everyone’s already Sisyphean monthly subscription budget.      #Smart #Glasses #Eyeing #People #Hate #Spiedsmart glasses,wearables

Smart Glasses Are Eyeing the One Thing People Hate More Than Being Spied On

If you don’t like the idea of someone recording you discreetly, you probably don’t like smart glasses. Video and photo capture are easily some of the most divisive aspects of the form factor, if not the most divisive. However divisive the recording part is, though, there are unifying aspects of smart glasses with cameras—things that fans and critics can hate together. Take subscriptions, for example.

As noted by Wired, L’Atitude 52°N, a smart glasses company that successfully crowdfunded last year, just launched its Berlin model of AI specs, which is set to go on sale May 26, and they have one tiny little quirk that I haven’t seen yet, or at least not to this extent: the AI features on the smart glasses (a good deal of the stuff that might actually convince you to buy them) will all be paywalled after a year’s trial.

Smart Glasses Are Eyeing the One Thing People Hate More Than Being Spied On
                If you don’t like the idea of someone recording you discreetly, you probably don’t like smart glasses. Video and photo capture are easily some of the most divisive aspects of the form factor, if not the most divisive. However divisive the recording part is, though, there are unifying aspects of smart glasses with cameras—things that fans and critics can hate together. Take subscriptions, for example.

 As noted by Wired, L’Atitude 52°N, a smart glasses company that successfully crowdfunded last year, just launched its Berlin model of AI specs, which is set to go on sale May 26, and they have one tiny little quirk that I haven’t seen yet, or at least not to this extent: the AI features on the smart glasses (a good deal of the stuff that might actually convince you to buy them) will all be paywalled after a year’s trial. © L’Atitude 52°N Per Wired, which spoke to L’Atitude 52°N CEO Gary Chen, there’s no word on how much the 9 smart glasses’ subscription will cost, but if you don’t pay up, Berlin will be limited to “base features,” which include playing music and capturing media. I guess anyone interested in buying Berlin will have to be okay with a looming, unknown cost down the road. It’s an interesting choice for a company that positions its smart glasses as being ideal for travel, pitching stuff like an “AI tour guide” that uses computer vision to provide information on your surroundings as a centerpiece of that travel functionality. Outside of a tour guide, the Berlin smart glasses also appear to lean into translation and a voice assistant in the AI department.

 On the bright side—call it transparency if you want—at least Chen is being honest about future ambitions to squeeze recurring profits out of anyone who buys the company’s smart glasses. A lot of the time, that’s just an unacknowledged minefield customers unknowingly step onto when buying any gadget with a cloud service.

 If you’re okay with potentially having to cough up a monthly sum to get the most out of your smart glasses, the Berlin look like a decent pair, but not quite the best. There’s no screen, but there’s a 12-megapixel camera, which is the same as the Ray-Ban Meta AI glasses, though there’s a significant difference in capture resolution. The Berlin have a max recording resolution of 1080p, while the Ray-Ban Meta AI glasses can record in 3K. They do look stylish, or at the very least unique, and if they can compete on open-ear audio, they might be a worthy consideration even with that very annoying subscription caveat. I’m skeptical that smart glasses are practical enough to justify paying for monthly, but I guess the only way to find out is by adding to everyone’s already Sisyphean monthly subscription budget.      #Smart #Glasses #Eyeing #People #Hate #Spiedsmart glasses,wearables
© L’Atitude 52°N

Per Wired, which spoke to L’Atitude 52°N CEO Gary Chen, there’s no word on how much the $399 smart glasses’ subscription will cost, but if you don’t pay up, Berlin will be limited to “base features,” which include playing music and capturing media. I guess anyone interested in buying Berlin will have to be okay with a looming, unknown cost down the road.

It’s an interesting choice for a company that positions its smart glasses as being ideal for travel, pitching stuff like an “AI tour guide” that uses computer vision to provide information on your surroundings as a centerpiece of that travel functionality. Outside of a tour guide, the Berlin smart glasses also appear to lean into translation and a voice assistant in the AI department.

On the bright side—call it transparency if you want—at least Chen is being honest about future ambitions to squeeze recurring profits out of anyone who buys the company’s smart glasses. A lot of the time, that’s just an unacknowledged minefield customers unknowingly step onto when buying any gadget with a cloud service.

If you’re okay with potentially having to cough up a monthly sum to get the most out of your smart glasses, the Berlin look like a decent pair, but not quite the best. There’s no screen, but there’s a 12-megapixel camera, which is the same as the Ray-Ban Meta AI glasses, though there’s a significant difference in capture resolution. The Berlin have a max recording resolution of 1080p, while the Ray-Ban Meta AI glasses can record in 3K. They do look stylish, or at the very least unique, and if they can compete on open-ear audio, they might be a worthy consideration even with that very annoying subscription caveat.

I’m skeptical that smart glasses are practical enough to justify paying for monthly, but I guess the only way to find out is by adding to everyone’s already Sisyphean monthly subscription budget.

#Smart #Glasses #Eyeing #People #Hate #Spiedsmart glasses,wearables

If you don’t like the idea of someone recording you discreetly, you probably don’t like smart glasses. Video and photo capture are easily some of the most divisive aspects of the form factor, if not the most divisive. However divisive the recording part is, though, there are unifying aspects of smart glasses with cameras—things that fans and critics can hate together. Take subscriptions, for example.

As noted by Wired, L’Atitude 52°N, a smart glasses company that successfully crowdfunded last year, just launched its Berlin model of AI specs, which is set to go on sale May 26, and they have one tiny little quirk that I haven’t seen yet, or at least not to this extent: the AI features on the smart glasses (a good deal of the stuff that might actually convince you to buy them) will all be paywalled after a year’s trial.

© L’Atitude 52°N

Per Wired, which spoke to L’Atitude 52°N CEO Gary Chen, there’s no word on how much the $399 smart glasses’ subscription will cost, but if you don’t pay up, Berlin will be limited to “base features,” which include playing music and capturing media. I guess anyone interested in buying Berlin will have to be okay with a looming, unknown cost down the road.

It’s an interesting choice for a company that positions its smart glasses as being ideal for travel, pitching stuff like an “AI tour guide” that uses computer vision to provide information on your surroundings as a centerpiece of that travel functionality. Outside of a tour guide, the Berlin smart glasses also appear to lean into translation and a voice assistant in the AI department.

On the bright side—call it transparency if you want—at least Chen is being honest about future ambitions to squeeze recurring profits out of anyone who buys the company’s smart glasses. A lot of the time, that’s just an unacknowledged minefield customers unknowingly step onto when buying any gadget with a cloud service.

If you’re okay with potentially having to cough up a monthly sum to get the most out of your smart glasses, the Berlin look like a decent pair, but not quite the best. There’s no screen, but there’s a 12-megapixel camera, which is the same as the Ray-Ban Meta AI glasses, though there’s a significant difference in capture resolution. The Berlin have a max recording resolution of 1080p, while the Ray-Ban Meta AI glasses can record in 3K. They do look stylish, or at the very least unique, and if they can compete on open-ear audio, they might be a worthy consideration even with that very annoying subscription caveat.

I’m skeptical that smart glasses are practical enough to justify paying for monthly, but I guess the only way to find out is by adding to everyone’s already Sisyphean monthly subscription budget.

Source link
#Smart #Glasses #Eyeing #People #Hate #Spied

Previous post

Sifnos for the Soul: A Cycladic Island Escape for Wellness and Reconnection – Viral Viral Videos

Next post

World Table Tennis Day celebrated with fanfare in Gujarat <div id="content-body-70898152" itemprop="articleBody"><p>India successfully hosted the global flagship celebration of World Table Tennis Day 2026 in Kapadwanj, Gujarat, marking a historic first for the country and commemorating 100 years of the International Table Tennis Federation (ITTF).</p><p>Centred around the theme “Health & Well-Being” and the slogan “Table Tennis Moves You,” the event showcased how table tennis can serve as a simple, accessible tool to promote physical activity, mental wellness, and social inclusion.</p><div class=" article-picture center"><img src="https://ss-i.thgim.com/public/incoming/jf6d1p/article70898382.ece/alternates/FREE_1200/WhatsApp%20Image%202026-04-23%20at%2019.50.17%201.jpeg" data-original="https://ss-i.thgim.com/public/incoming/jf6d1p/article70898382.ece/alternates/FREE_1200/WhatsApp%20Image%202026-04-23%20at%2019.50.17%201.jpeg" alt="The programme unfolded over two days, beginning with community visits and field immersions on April 22 across local institutions and neighbourhoods, followed by the main celebration on April 23 at Dani College. " title="The programme unfolded over two days, beginning with community visits and field immersions on April 22 across local institutions and neighbourhoods, followed by the main celebration on April 23 at Dani College. " class=" lazy" width="100%" height="100%"/><div class="pic-caption"><figcaption class="figure-caption align-text-bottom"><p> The programme unfolded over two days, beginning with community visits and field immersions on April 22 across local institutions and neighbourhoods, followed by the main celebration on April 23 at Dani College.  | Photo Credit: Special Arrangement </p><img class="caption-image" src="https://assetsss.thehindu.com/theme/images/SSRX/lightbox-info.svg" alt="lightbox-info"/></figcaption></div><p class="caption"> The programme unfolded over two days, beginning with community visits and field immersions on April 22 across local institutions and neighbourhoods, followed by the main celebration on April 23 at Dani College.  | Photo Credit: Special Arrangement </p></div><p>The celebration was held in the presence of ITTF President Petra Sörling; Vita Dani, Governing Board Member of ITTF Foundation; ITTF Foundation Director Leandro Olvech; Sharath Kamal, five-time Olympian and ITTF Foundation ambassador, commentator Adam Bobrow, and representatives from ESN Spinsight.</p><p><b>ALSO READ | <a href="https://sportstar.thehindu.com/table-tennis/utt-2026-teams-new-coaches-list-sourav-chakraborty-abhishek-yadav-list-news/article70877651.ece" target="_blank">U Mumba TT retains title-winning coaching duo; Chakraborty set for Ultimate Table Tennis debut in Season 7</a></b></p><p>Sörling said: ”India’s hosting of World Table Tennis Day 2026 is a proud moment for our global table tennis family. The message of this day is as simple as the sport itself: everyone is welcome at the table. Whether you play for fun, for fitness, for friendship, or with the ambition to reach the very top, this day is yours.”</p><p>“As the ITTF marks its centenary, this is the vision we carry forward: a sport that welcomes everyone, regardless of age, ability, or background. Today, in Kapadwanj, we see the real, positive impact table tennis can have in connecting communities. That is what our sport has offered the world for 100 years, and what it will continue to offer for the next hundred.”</p><p>Kapadwanj’s selection as host city reflected more than three years of sustained grassroots work through the Smash Barriers programme, implemented locally by Kapadwanj Kelavani Mandal in partnership with Dani Sports Foundation. The initiative has been using table tennis as a tool for inclusion, health, and community development, engaging children, youth, families, and persons with disabilities.</p><p>World Table Tennis Day 2026 served as a culmination of this ongoing effort, offering a live, on-ground showcase of how sport can create lasting, community-led impact.</p><div class="article-picture left-img "><img src="https://ss-i.thgim.com/public/incoming/cgevsu/article70898388.ece/alternates/FREE_1200/WhatsApp%20Image%202026-04-23%20at%2019.50.18.jpeg" data-original="https://ss-i.thgim.com/public/incoming/cgevsu/article70898388.ece/alternates/FREE_1200/WhatsApp%20Image%202026-04-23%20at%2019.50.18.jpeg" alt="The celebration brought together around 400 participants, including children, youth, families, senior citizens, and persons with disabilities, with approximately 200 people actively engaged at any given time." title="The celebration brought together around 400 participants, including children, youth, families, senior citizens, and persons with disabilities, with approximately 200 people actively engaged at any given time." class=" lazy" width="100%" height="100%"/><div class="pic-caption"><figcaption class="figure-caption align-text-bottom"><p> The celebration brought together around 400 participants, including children, youth, families, senior citizens, and persons with disabilities, with approximately 200 people actively engaged at any given time. | Photo Credit: Special Arrangement </p><img class="caption-image" src="https://assetsss.thehindu.com/theme/images/SSRX/lightbox-info.svg" alt="lightbox-info"/></figcaption></div><p class="caption"> The celebration brought together around 400 participants, including children, youth, families, senior citizens, and persons with disabilities, with approximately 200 people actively engaged at any given time. | Photo Credit: Special Arrangement </p></div><p>The programme unfolded over two days, beginning with community visits and field immersions on April 22 across local institutions and neighbourhoods, followed by the main celebration on April 23 at Dani College. The event was designed as an interactive and inclusive experience.</p><p>The celebration brought together around 400 participants, including children, youth, families, senior citizens, and persons with disabilities, with approximately 200 people actively engaged at any given time.</p><p>Key highlights included inclusive table tennis activities across age groups and abilities, exhibition matches, cultural performances rooted in the local context, and a special “100 Years of ITTF” showcase celebrating the sport’s global legacy.</p><p>Reflecting on the occasion, Vita Dani said, “The health benefits of table tennis are truly unmatched, and it remains one of the most accessible sports in the world. To celebrate a sport so close to my heart, in a place that means so much to me, makes this moment incredibly special. What adds to the significance is marking 100 years of the federation, and for India to have the honour of hosting and celebrating this milestone makes it even more meaningful.”</p><p class="publish-time" id="end-of-article">Published on Apr 23, 2026</p></div> #World #Table #Tennis #Day #celebrated #fanfare #Gujarat

Microsoft Edge is adding a new feature that will allow its Copilot AI chatbot to gather information from all of your open tabs. When you start a conversation with Copilot, you can ask the chatbot questions about what’s in your tabs, compare the products you’re looking at, summarize your open articles, and more.

In its announcement, Microsoft says you can “select which experiences you want or leave off the ones you don’t.” The company is retiring Copilot Mode as well, which could similarly draw information from your tabs but offered some agentic features, like the ability to book a reservation on your behalf. Microsoft has since folded these agentic capabilities into its “Browse with Copilot” tool.

Several other AI features are coming to Edge, including an AI-powered “Study and Learn” mode that can turn the article you’re looking at into a study session or interactive quiz. There’s a new tool that turns your tabs into AI-powered podcasts as well, similar to what you’d find on NotebookLM, and an AI writing assistant that will pop up when you start entering text on a webpage.

You can also give Copilot permission to access your browsing history to provide more “relevant, high-quality answers,” according to Microsoft. Copilot in Edge on desktop and mobile will come with “long-term memory” as well, which can tailor its responses based on your previous conversations. And, when you open up a new tab, you’ll see a redesigned page that combines chat, search, and web navigation, along with the Journeys feature, which uses AI to organize your browsing history into categories that you can revisit.

Meanwhile, an update to Edge’s mobile app will allow you to share your screen with Copilot and talk through the questions about what you’re seeing. Microsoft says you’ll see “clear visual cues” when Copilot is active, “so you know when it’s taking an action, helping, listening, or viewing.”

#Microsofts #Edge #Copilot #update #pull #information #tabsAI,Microsoft,News,Tech,Web">Microsoft’s Edge Copilot update uses AI to pull information from across your tabsMicrosoft Edge is adding a new feature that will allow its Copilot AI chatbot to gather information from all of your open tabs. When you start a conversation with Copilot, you can ask the chatbot questions about what’s in your tabs, compare the products you’re looking at, summarize your open articles, and more.In its announcement, Microsoft says you can “select which experiences you want or leave off the ones you don’t.” The company is retiring Copilot Mode as well, which could similarly draw information from your tabs but offered some agentic features, like the ability to book a reservation on your behalf. Microsoft has since folded these agentic capabilities into its “Browse with Copilot” tool.Several other AI features are coming to Edge, including an AI-powered “Study and Learn” mode that can turn the article you’re looking at into a study session or interactive quiz. There’s a new tool that turns your tabs into AI-powered podcasts as well, similar to what you’d find on NotebookLM, and an AI writing assistant that will pop up when you start entering text on a webpage.You can also give Copilot permission to access your browsing history to provide more “relevant, high-quality answers,” according to Microsoft. Copilot in Edge on desktop and mobile will come with “long-term memory” as well, which can tailor its responses based on your previous conversations. And, when you open up a new tab, you’ll see a redesigned page that combines chat, search, and web navigation, along with the Journeys feature, which uses AI to organize your browsing history into categories that you can revisit.Meanwhile, an update to Edge’s mobile app will allow you to share your screen with Copilot and talk through the questions about what you’re seeing. Microsoft says you’ll see “clear visual cues” when Copilot is active, “so you know when it’s taking an action, helping, listening, or viewing.”#Microsofts #Edge #Copilot #update #pull #information #tabsAI,Microsoft,News,Tech,Web

adding a new feature that will allow its Copilot AI chatbot to gather information from all of your open tabs. When you start a conversation with Copilot, you can ask the chatbot questions about what’s in your tabs, compare the products you’re looking at, summarize your open articles, and more.

In its announcement, Microsoft says you can “select which experiences you want or leave off the ones you don’t.” The company is retiring Copilot Mode as well, which could similarly draw information from your tabs but offered some agentic features, like the ability to book a reservation on your behalf. Microsoft has since folded these agentic capabilities into its “Browse with Copilot” tool.

Several other AI features are coming to Edge, including an AI-powered “Study and Learn” mode that can turn the article you’re looking at into a study session or interactive quiz. There’s a new tool that turns your tabs into AI-powered podcasts as well, similar to what you’d find on NotebookLM, and an AI writing assistant that will pop up when you start entering text on a webpage.

You can also give Copilot permission to access your browsing history to provide more “relevant, high-quality answers,” according to Microsoft. Copilot in Edge on desktop and mobile will come with “long-term memory” as well, which can tailor its responses based on your previous conversations. And, when you open up a new tab, you’ll see a redesigned page that combines chat, search, and web navigation, along with the Journeys feature, which uses AI to organize your browsing history into categories that you can revisit.

Meanwhile, an update to Edge’s mobile app will allow you to share your screen with Copilot and talk through the questions about what you’re seeing. Microsoft says you’ll see “clear visual cues” when Copilot is active, “so you know when it’s taking an action, helping, listening, or viewing.”

#Microsofts #Edge #Copilot #update #pull #information #tabsAI,Microsoft,News,Tech,Web">Microsoft’s Edge Copilot update uses AI to pull information from across your tabs

Microsoft Edge is adding a new feature that will allow its Copilot AI chatbot to gather information from all of your open tabs. When you start a conversation with Copilot, you can ask the chatbot questions about what’s in your tabs, compare the products you’re looking at, summarize your open articles, and more.

In its announcement, Microsoft says you can “select which experiences you want or leave off the ones you don’t.” The company is retiring Copilot Mode as well, which could similarly draw information from your tabs but offered some agentic features, like the ability to book a reservation on your behalf. Microsoft has since folded these agentic capabilities into its “Browse with Copilot” tool.

Several other AI features are coming to Edge, including an AI-powered “Study and Learn” mode that can turn the article you’re looking at into a study session or interactive quiz. There’s a new tool that turns your tabs into AI-powered podcasts as well, similar to what you’d find on NotebookLM, and an AI writing assistant that will pop up when you start entering text on a webpage.

You can also give Copilot permission to access your browsing history to provide more “relevant, high-quality answers,” according to Microsoft. Copilot in Edge on desktop and mobile will come with “long-term memory” as well, which can tailor its responses based on your previous conversations. And, when you open up a new tab, you’ll see a redesigned page that combines chat, search, and web navigation, along with the Journeys feature, which uses AI to organize your browsing history into categories that you can revisit.

Meanwhile, an update to Edge’s mobile app will allow you to share your screen with Copilot and talk through the questions about what you’re seeing. Microsoft says you’ll see “clear visual cues” when Copilot is active, “so you know when it’s taking an action, helping, listening, or viewing.”

#Microsofts #Edge #Copilot #update #pull #information #tabsAI,Microsoft,News,Tech,Web
Productivity software maker Notion is stepping into the agentic era.

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.

By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure.

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Notion just turned its workspace into a hub for AI agents | TechCrunch
Productivity software maker Notion is stepping into the agentic era. 

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.







By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure. 

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure. 


You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment. 

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.







Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP —  short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more. 

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said. 








When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion
Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure.

You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment.

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.

Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP — short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more.

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion">Notion just turned its workspace into a hub for AI agents | TechCrunch
Productivity software maker Notion is stepping into the agentic era. 

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.







By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure. 

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure. 


You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment. 

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.







Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP —  short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more. 

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said. 








When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion

Notion is stepping into the agentic era.

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.

By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure.

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Notion just turned its workspace into a hub for AI agents | TechCrunch
Productivity software maker Notion is stepping into the agentic era. 

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.







By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure. 

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure. 


You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment. 

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.







Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP —  short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more. 

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said. 








When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion
Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure.

You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment.

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.

Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP — short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more.

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion">Notion just turned its workspace into a hub for AI agents | TechCrunch

Productivity software maker Notion is stepping into the agentic era.

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.

By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure.

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Notion just turned its workspace into a hub for AI agents | TechCrunch
Productivity software maker Notion is stepping into the agentic era. 

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.







By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure. 

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure. 


You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment. 

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.







Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP —  short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more. 

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said. 








When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion
Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure.

You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment.

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.

Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP — short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more.

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion

Post Comment