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Mamoru Hosoda’s ‘Scarlet’ Gets Bumped to 2026 in North America

Mamoru Hosoda’s ‘Scarlet’ Gets Bumped to 2026 in North America

Mortal Kombat II isn’t the only movie leaving 2025. Scarlet, the next film from Studio Chizu and anime director Mamoru Hosoda, is now arriving in early 2026 for North American audiences.

Sony’s opted to push the film out of its initial December 12 slot. It’s still expected to release on November 21 in Japan and screen at film festivals in Venice, Toronto, and New York through their respective film festivals in early September and early October. The press release calls these festival screenings “qualifying runs,” which may help explain the delay: previous Hosoda films have won local and international awards and get well-received by critics, making it look more enticing to audiences.

First announced this past April, Scarlet centers on the titular young princess who escapes across time and space after witnessing her father’s murder. After her first go at revenge ends in failure, she winds up in the Land of the Dead, a limbo for those who fail in their quests for payback. But Scarlet’s not giving up just yet, and she crosses paths with a modern-day man named Hijiri.

For those living outside North America and Japan, Sony’s international subsidiary will handle the film’s release in other territories. But like with North America, there’s no hard date for the film in those territories quite yet—expect to wait a while before we hear or see more from the film.

Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.

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#Mamoru #Hosodas #Scarlet #Bumped #North #America

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

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