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NASA Couldn’t Get Its Rover to the Moon, So Blue Origin Will Do It Instead

NASA Couldn’t Get Its Rover to the Moon, So Blue Origin Will Do It Instead

NASA’s water-hunting lunar rover was given a second chance to reach the surface of the Moon. Blue Origin will deliver VIPER to the Moon on an upcoming lunar lander mission, resurrecting the exploration mission after it was called off last year.

NASA contracted Blue Origin to transport its lunar rover to the Moon as part of the agency’s Commercial Lunar Payload Services. The Volatiles Investigating Polar Exploration Rover, or VIPER, was originally set to launch in 2023 but faced several delays until the mission was called off altogether as it threatened to disrupt other payload deliveries to the Moon. Under the new deal, VIPER will hitch a ride to the Moon on board Blue Origin’s Blue Moon Mark 1 (MK1) lander, scheduled to launch in 2027.

Water hunter

VIPER is designed to search for water ice in the lunar south pole, an integral aspect of establishing a sustainable human presence on the Moon’s surface as part of NASA’s Artemis program.

“Our rover will explore the extreme environment of the lunar South Pole, traveling to small, permanently shadowed regions to help inform future landing sites for our astronauts and better understand the Moon’s environment—important insights for sustaining humans over longer missions, as America leads our future in space,” Sean Duffy, acting NASA administrator, said in a statement.

The boxy, four-wheeled rover is equipped with four instruments and headlights, which will be necessary to explore the permanently shadowed craters on the Moon. Over the course of its 100-day mission, VIPER is designed to map the location and abundance of water at the lunar south pole.

VIPER was originally meant to launch with Astrobotic’s Griffin lander under a Commercial Lunar Payload Services task order worth $322 million. The launch date was first pushed back to 2024 and later to 2025 due to additional schedule and supply chain delays. In July 2024, NASA decided to cancel the mission altogether, stating that it threatens to disrupt other commercial payload missions to the Moon.

NASA initially decided to take apart the robot and reuse its parts for future missions. The agency’s decision, however, sparked outrage from the science community over the potential loss of VIPER. In response, NASA put out a call for the private sector to take over its robot and send it to the Moon. At that point, NASA had already spent $450 million developing VIPER, and the agency declared that it wouldn’t spend any more money in getting the rover to land on the Moon.

“NASA is committed to studying and exploring the Moon, including learning more about water on the lunar surface, to help determine how we can harness local resources for future human exploration,” Nicky Fox, associate administrator of NASA’s Science Mission Directorate, said in a statement. “We’ve been looking for creative, cost-effective approaches to accomplish these exploration goals. This private sector-developed landing capability enables this delivery and focuses our investments accordingly—supporting American leadership in space and ensuring our long-term exploration is robust and affordable.”

In selecting Blue Origin to transport VIPER to the Moon, NASA has kept the mission alive for what it had previously described as the most capable robot ever sent to the lunar surface.

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#NASA #Couldnt #Rover #Moon #Blue #Origin

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
HP OmniPad 12
HP Launches 20+ New AI PCs, OmniPad Tablet, And Workstations In India
	
HP has announced a massive refresh of its India lineup with more than 20 new products spanning laptops, tablets, AI workstations, collaboration gear, and even printers. And yes, just like every other tech launch in 2026, the letters “AI” were everywhere. Still, there are a couple of genuinely interesting products here, especially HP’s first Android tablet for India and a bizarre new “keyboard PC” that honestly looks straight out of a sci-fi setup.



HP OmniPad 12






Windows tablets are nothing new and have been on the market for ages. So, when HP announced its new OmniPad, we all thought it would be a Windows tablet for creative users. Well, it’s not. The OmniPad 12 is powered by the Qualcomm Snapdragon SM6475Q processor and runs Android, optimized for the bigger screen. The front houses a 12-inch 2K (1,200×2,000 pixels) multi-touch display with a 90Hz refresh rate and a peak brightness of 400 nits. 



For cameras, HP has included a 13MP rear sensor alongside a front-facing 8MP camera for video calls. The company claims the 31Wh battery can deliver up to 18 hours of usage. Pricing starts at ₹48,999, which places the OmniPad 12 directly against Apple’s iPad Air and premium Android tablets from Samsung. We should get our hands on a review unit soon to see how well it actually stacks up.



PC in a Keyboard?







Among all the announcements, the HP EliteBoard G1a Next Gen AI PC is probably the strangest. HP describes it as the world’s first AI keyboard PC, which basically means the entire computer is built into a keyboard. 



HP says the machine can deliver up to 50 TOPS of NPU performance using the AMD processor and is designed for hybrid work environments where portability and simplicity matter. While AI branding is becoming exhausting at this point, the compact form factor itself is actually pretty interesting. 



EliteBook, ProBook, And OmniBook Get AI Upgrades







Beyond the bizarrness of the EliteBoard, HP has refreshed almost its entire laptop lineup in India with new processors. This includes the EliteBook X G2, EliteBook 8 G2, ProBook 4 G2, and several new OmniBook models.



The EliteBook and ProBook series are clearly aimed at enterprise users, with features like HP Wolf Security and HP Sure View privacy protection. HP claims some configurations can deliver up to 85 TOPS of AI performance, though realistically, most users will probably care more about battery life and everyday responsiveness than AI numbers alone.



The OmniBook lineup, on the other hand, targets mainstream users and creators. Models like the OmniBook Ultra 14, OmniBook X, OmniBook 5, and OmniBook 3 focus heavily on portability and AI-assisted features like posture correction, gesture controls, and smart meeting enhancements. HP is also bundling compact GaN chargers with some models, which is genuinely useful for people constantly traveling with their laptops.



New Work Stations







For professionals working with demanding AI or rendering workloads, HP has launched new Z-series workstations in India, including the HP Z8 Fury G6i, HP ZGX Nano G1n AI Station, HP Z4 G6i, and HP ZBook X G2i 16. These machines can be configured with both AMD and Intel hardware and are aimed at creators, developers, engineers, and enterprise users handling heavy workflows.



HP also announced updates to its Workforce Experience Platform (WXP), which now includes AI-driven tools for device management and workflow automation. The goal here is to help IT teams monitor devices more efficiently and identify system issues before they become major problems.



Pricing and Availability



ModelStarting PriceAvailabilityHP EliteBook X G2Rs 2,50,000HP online store, HP ConnectHP EliteBook 8 G2Rs 2,30,000HP online store, HP ConnectHP ProBook 4 G2Rs 1,35,000HP online store, HP ConnectHP OmniBook Ultra 14 (Snapdragon)Rs 1,89,999HP online storeHP OmniBook Ultra 14 (Intel Ultra)Rs 2,14,999HP online store, HP World storesHP OmniBook X (Intel Ultra)Rs 1,69,999HP online store, HP World storesHP OmniBook 5 (Intel Ultra)Rs 1,24,999HP online store, HP World stores

#Launches #PCs #OmniPad #Tablet #Workstations #IndiaHP

Windows tablets are nothing new and have been on the market for ages. So, when HP announced its new OmniPad, we all thought it would be a Windows tablet for creative users. Well, it’s not. The OmniPad 12 is powered by the Qualcomm Snapdragon SM6475Q processor and runs Android, optimized for the bigger screen. The front houses a 12-inch 2K (1,200×2,000 pixels) multi-touch display with a 90Hz refresh rate and a peak brightness of 400 nits.

For cameras, HP has included a 13MP rear sensor alongside a front-facing 8MP camera for video calls. The company claims the 31Wh battery can deliver up to 18 hours of usage. Pricing starts at ₹48,999, which places the OmniPad 12 directly against Apple’s iPad Air and premium Android tablets from Samsung. We should get our hands on a review unit soon to see how well it actually stacks up.

PC in a Keyboard?

HP Eliteboard

Among all the announcements, the HP EliteBoard G1a Next Gen AI PC is probably the strangest. HP describes it as the world’s first AI keyboard PC, which basically means the entire computer is built into a keyboard.

HP says the machine can deliver up to 50 TOPS of NPU performance using the AMD processor and is designed for hybrid work environments where portability and simplicity matter. While AI branding is becoming exhausting at this point, the compact form factor itself is actually pretty interesting.

EliteBook, ProBook, And OmniBook Get AI Upgrades

Beyond the bizarrness of the EliteBoard, HP has refreshed almost its entire laptop lineup in India with new processors. This includes the EliteBook X G2, EliteBook 8 G2, ProBook 4 G2, and several new OmniBook models.

The EliteBook and ProBook series are clearly aimed at enterprise users, with features like HP Wolf Security and HP Sure View privacy protection. HP claims some configurations can deliver up to 85 TOPS of AI performance, though realistically, most users will probably care more about battery life and everyday responsiveness than AI numbers alone.

The OmniBook lineup, on the other hand, targets mainstream users and creators. Models like the OmniBook Ultra 14, OmniBook X, OmniBook 5, and OmniBook 3 focus heavily on portability and AI-assisted features like posture correction, gesture controls, and smart meeting enhancements. HP is also bundling compact GaN chargers with some models, which is genuinely useful for people constantly traveling with their laptops.

New Work Stations

HP ZGX Nano G1n Catalog Image Left Facing

For professionals working with demanding AI or rendering workloads, HP has launched new Z-series workstations in India, including the HP Z8 Fury G6i, HP ZGX Nano G1n AI Station, HP Z4 G6i, and HP ZBook X G2i 16. These machines can be configured with both AMD and Intel hardware and are aimed at creators, developers, engineers, and enterprise users handling heavy workflows.

HP also announced updates to its Workforce Experience Platform (WXP), which now includes AI-driven tools for device management and workflow automation. The goal here is to help IT teams monitor devices more efficiently and identify system issues before they become major problems.

Pricing and Availability

ModelStarting PriceAvailability
HP EliteBook X G2Rs 2,50,000HP online store, HP Connect
HP EliteBook 8 G2Rs 2,30,000HP online store, HP Connect
HP ProBook 4 G2Rs 1,35,000HP online store, HP Connect
HP OmniBook Ultra 14 (Snapdragon)Rs 1,89,999HP online store
HP OmniBook Ultra 14 (Intel Ultra)Rs 2,14,999HP online store, HP World stores
HP OmniBook X (Intel Ultra)Rs 1,69,999HP online store, HP World stores
HP OmniBook 5 (Intel Ultra)Rs 1,24,999HP online store, HP World stores
#Launches #PCs #OmniPad #Tablet #Workstations #IndiaHP">HP Launches 20+ New AI PCs, OmniPad Tablet, And Workstations In India
	
HP has announced a massive refresh of its India lineup with more than 20 new products spanning laptops, tablets, AI workstations, collaboration gear, and even printers. And yes, just like every other tech launch in 2026, the letters “AI” were everywhere. Still, there are a couple of genuinely interesting products here, especially HP’s first Android tablet for India and a bizarre new “keyboard PC” that honestly looks straight out of a sci-fi setup.



HP OmniPad 12






Windows tablets are nothing new and have been on the market for ages. So, when HP announced its new OmniPad, we all thought it would be a Windows tablet for creative users. Well, it’s not. The OmniPad 12 is powered by the Qualcomm Snapdragon SM6475Q processor and runs Android, optimized for the bigger screen. The front houses a 12-inch 2K (1,200×2,000 pixels) multi-touch display with a 90Hz refresh rate and a peak brightness of 400 nits. 



For cameras, HP has included a 13MP rear sensor alongside a front-facing 8MP camera for video calls. The company claims the 31Wh battery can deliver up to 18 hours of usage. Pricing starts at ₹48,999, which places the OmniPad 12 directly against Apple’s iPad Air and premium Android tablets from Samsung. We should get our hands on a review unit soon to see how well it actually stacks up.



PC in a Keyboard?







Among all the announcements, the HP EliteBoard G1a Next Gen AI PC is probably the strangest. HP describes it as the world’s first AI keyboard PC, which basically means the entire computer is built into a keyboard. 



HP says the machine can deliver up to 50 TOPS of NPU performance using the AMD processor and is designed for hybrid work environments where portability and simplicity matter. While AI branding is becoming exhausting at this point, the compact form factor itself is actually pretty interesting. 



EliteBook, ProBook, And OmniBook Get AI Upgrades







Beyond the bizarrness of the EliteBoard, HP has refreshed almost its entire laptop lineup in India with new processors. This includes the EliteBook X G2, EliteBook 8 G2, ProBook 4 G2, and several new OmniBook models.



The EliteBook and ProBook series are clearly aimed at enterprise users, with features like HP Wolf Security and HP Sure View privacy protection. HP claims some configurations can deliver up to 85 TOPS of AI performance, though realistically, most users will probably care more about battery life and everyday responsiveness than AI numbers alone.



The OmniBook lineup, on the other hand, targets mainstream users and creators. Models like the OmniBook Ultra 14, OmniBook X, OmniBook 5, and OmniBook 3 focus heavily on portability and AI-assisted features like posture correction, gesture controls, and smart meeting enhancements. HP is also bundling compact GaN chargers with some models, which is genuinely useful for people constantly traveling with their laptops.



New Work Stations







For professionals working with demanding AI or rendering workloads, HP has launched new Z-series workstations in India, including the HP Z8 Fury G6i, HP ZGX Nano G1n AI Station, HP Z4 G6i, and HP ZBook X G2i 16. These machines can be configured with both AMD and Intel hardware and are aimed at creators, developers, engineers, and enterprise users handling heavy workflows.



HP also announced updates to its Workforce Experience Platform (WXP), which now includes AI-driven tools for device management and workflow automation. The goal here is to help IT teams monitor devices more efficiently and identify system issues before they become major problems.



Pricing and Availability



ModelStarting PriceAvailabilityHP EliteBook X G2Rs 2,50,000HP online store, HP ConnectHP EliteBook 8 G2Rs 2,30,000HP online store, HP ConnectHP ProBook 4 G2Rs 1,35,000HP online store, HP ConnectHP OmniBook Ultra 14 (Snapdragon)Rs 1,89,999HP online storeHP OmniBook Ultra 14 (Intel Ultra)Rs 2,14,999HP online store, HP World storesHP OmniBook X (Intel Ultra)Rs 1,69,999HP online store, HP World storesHP OmniBook 5 (Intel Ultra)Rs 1,24,999HP online store, HP World stores

#Launches #PCs #OmniPad #Tablet #Workstations #IndiaHP

OmniBook models.

The EliteBook and ProBook series are clearly aimed at enterprise users, with features like HP Wolf Security and HP Sure View privacy protection. HP claims some configurations can deliver up to 85 TOPS of AI performance, though realistically, most users will probably care more about battery life and everyday responsiveness than AI numbers alone.

The OmniBook lineup, on the other hand, targets mainstream users and creators. Models like the OmniBook Ultra 14, OmniBook X, OmniBook 5, and OmniBook 3 focus heavily on portability and AI-assisted features like posture correction, gesture controls, and smart meeting enhancements. HP is also bundling compact GaN chargers with some models, which is genuinely useful for people constantly traveling with their laptops.

New Work Stations

HP ZGX Nano G1n Catalog Image Left Facing

For professionals working with demanding AI or rendering workloads, HP has launched new Z-series workstations in India, including the HP Z8 Fury G6i, HP ZGX Nano G1n AI Station, HP Z4 G6i, and HP ZBook X G2i 16. These machines can be configured with both AMD and Intel hardware and are aimed at creators, developers, engineers, and enterprise users handling heavy workflows.

HP also announced updates to its Workforce Experience Platform (WXP), which now includes AI-driven tools for device management and workflow automation. The goal here is to help IT teams monitor devices more efficiently and identify system issues before they become major problems.

Pricing and Availability

ModelStarting PriceAvailability
HP EliteBook X G2Rs 2,50,000HP online store, HP Connect
HP EliteBook 8 G2Rs 2,30,000HP online store, HP Connect
HP ProBook 4 G2Rs 1,35,000HP online store, HP Connect
HP OmniBook Ultra 14 (Snapdragon)Rs 1,89,999HP online store
HP OmniBook Ultra 14 (Intel Ultra)Rs 2,14,999HP online store, HP World stores
HP OmniBook X (Intel Ultra)Rs 1,69,999HP online store, HP World stores
HP OmniBook 5 (Intel Ultra)Rs 1,24,999HP online store, HP World stores
#Launches #PCs #OmniPad #Tablet #Workstations #IndiaHP">HP Launches 20+ New AI PCs, OmniPad Tablet, And Workstations In India

HP has announced a massive refresh of its India lineup with more than 20 new products spanning laptops, tablets, AI workstations, collaboration gear, and even printers. And yes, just like every other tech launch in 2026, the letters “AI” were everywhere. Still, there are a couple of genuinely interesting products here, especially HP’s first Android tablet for India and a bizarre new “keyboard PC” that honestly looks straight out of a sci-fi setup.

HP OmniPad 12

HP Launches 20+ New AI PCs, OmniPad Tablet, And Workstations In India
	
HP has announced a massive refresh of its India lineup with more than 20 new products spanning laptops, tablets, AI workstations, collaboration gear, and even printers. And yes, just like every other tech launch in 2026, the letters “AI” were everywhere. Still, there are a couple of genuinely interesting products here, especially HP’s first Android tablet for India and a bizarre new “keyboard PC” that honestly looks straight out of a sci-fi setup.



HP OmniPad 12






Windows tablets are nothing new and have been on the market for ages. So, when HP announced its new OmniPad, we all thought it would be a Windows tablet for creative users. Well, it’s not. The OmniPad 12 is powered by the Qualcomm Snapdragon SM6475Q processor and runs Android, optimized for the bigger screen. The front houses a 12-inch 2K (1,200×2,000 pixels) multi-touch display with a 90Hz refresh rate and a peak brightness of 400 nits. 



For cameras, HP has included a 13MP rear sensor alongside a front-facing 8MP camera for video calls. The company claims the 31Wh battery can deliver up to 18 hours of usage. Pricing starts at ₹48,999, which places the OmniPad 12 directly against Apple’s iPad Air and premium Android tablets from Samsung. We should get our hands on a review unit soon to see how well it actually stacks up.



PC in a Keyboard?







Among all the announcements, the HP EliteBoard G1a Next Gen AI PC is probably the strangest. HP describes it as the world’s first AI keyboard PC, which basically means the entire computer is built into a keyboard. 



HP says the machine can deliver up to 50 TOPS of NPU performance using the AMD processor and is designed for hybrid work environments where portability and simplicity matter. While AI branding is becoming exhausting at this point, the compact form factor itself is actually pretty interesting. 



EliteBook, ProBook, And OmniBook Get AI Upgrades







Beyond the bizarrness of the EliteBoard, HP has refreshed almost its entire laptop lineup in India with new processors. This includes the EliteBook X G2, EliteBook 8 G2, ProBook 4 G2, and several new OmniBook models.



The EliteBook and ProBook series are clearly aimed at enterprise users, with features like HP Wolf Security and HP Sure View privacy protection. HP claims some configurations can deliver up to 85 TOPS of AI performance, though realistically, most users will probably care more about battery life and everyday responsiveness than AI numbers alone.



The OmniBook lineup, on the other hand, targets mainstream users and creators. Models like the OmniBook Ultra 14, OmniBook X, OmniBook 5, and OmniBook 3 focus heavily on portability and AI-assisted features like posture correction, gesture controls, and smart meeting enhancements. HP is also bundling compact GaN chargers with some models, which is genuinely useful for people constantly traveling with their laptops.



New Work Stations







For professionals working with demanding AI or rendering workloads, HP has launched new Z-series workstations in India, including the HP Z8 Fury G6i, HP ZGX Nano G1n AI Station, HP Z4 G6i, and HP ZBook X G2i 16. These machines can be configured with both AMD and Intel hardware and are aimed at creators, developers, engineers, and enterprise users handling heavy workflows.



HP also announced updates to its Workforce Experience Platform (WXP), which now includes AI-driven tools for device management and workflow automation. The goal here is to help IT teams monitor devices more efficiently and identify system issues before they become major problems.



Pricing and Availability



ModelStarting PriceAvailabilityHP EliteBook X G2Rs 2,50,000HP online store, HP ConnectHP EliteBook 8 G2Rs 2,30,000HP online store, HP ConnectHP ProBook 4 G2Rs 1,35,000HP online store, HP ConnectHP OmniBook Ultra 14 (Snapdragon)Rs 1,89,999HP online storeHP OmniBook Ultra 14 (Intel Ultra)Rs 2,14,999HP online store, HP World storesHP OmniBook X (Intel Ultra)Rs 1,69,999HP online store, HP World storesHP OmniBook 5 (Intel Ultra)Rs 1,24,999HP online store, HP World stores

#Launches #PCs #OmniPad #Tablet #Workstations #IndiaHP

Windows tablets are nothing new and have been on the market for ages. So, when HP announced its new OmniPad, we all thought it would be a Windows tablet for creative users. Well, it’s not. The OmniPad 12 is powered by the Qualcomm Snapdragon SM6475Q processor and runs Android, optimized for the bigger screen. The front houses a 12-inch 2K (1,200×2,000 pixels) multi-touch display with a 90Hz refresh rate and a peak brightness of 400 nits.

For cameras, HP has included a 13MP rear sensor alongside a front-facing 8MP camera for video calls. The company claims the 31Wh battery can deliver up to 18 hours of usage. Pricing starts at ₹48,999, which places the OmniPad 12 directly against Apple’s iPad Air and premium Android tablets from Samsung. We should get our hands on a review unit soon to see how well it actually stacks up.

PC in a Keyboard?

HP Eliteboard

Among all the announcements, the HP EliteBoard G1a Next Gen AI PC is probably the strangest. HP describes it as the world’s first AI keyboard PC, which basically means the entire computer is built into a keyboard.

HP says the machine can deliver up to 50 TOPS of NPU performance using the AMD processor and is designed for hybrid work environments where portability and simplicity matter. While AI branding is becoming exhausting at this point, the compact form factor itself is actually pretty interesting.

EliteBook, ProBook, And OmniBook Get AI Upgrades

Beyond the bizarrness of the EliteBoard, HP has refreshed almost its entire laptop lineup in India with new processors. This includes the EliteBook X G2, EliteBook 8 G2, ProBook 4 G2, and several new OmniBook models.

The EliteBook and ProBook series are clearly aimed at enterprise users, with features like HP Wolf Security and HP Sure View privacy protection. HP claims some configurations can deliver up to 85 TOPS of AI performance, though realistically, most users will probably care more about battery life and everyday responsiveness than AI numbers alone.

The OmniBook lineup, on the other hand, targets mainstream users and creators. Models like the OmniBook Ultra 14, OmniBook X, OmniBook 5, and OmniBook 3 focus heavily on portability and AI-assisted features like posture correction, gesture controls, and smart meeting enhancements. HP is also bundling compact GaN chargers with some models, which is genuinely useful for people constantly traveling with their laptops.

New Work Stations

HP ZGX Nano G1n Catalog Image Left Facing

For professionals working with demanding AI or rendering workloads, HP has launched new Z-series workstations in India, including the HP Z8 Fury G6i, HP ZGX Nano G1n AI Station, HP Z4 G6i, and HP ZBook X G2i 16. These machines can be configured with both AMD and Intel hardware and are aimed at creators, developers, engineers, and enterprise users handling heavy workflows.

HP also announced updates to its Workforce Experience Platform (WXP), which now includes AI-driven tools for device management and workflow automation. The goal here is to help IT teams monitor devices more efficiently and identify system issues before they become major problems.

Pricing and Availability

ModelStarting PriceAvailability
HP EliteBook X G2Rs 2,50,000HP online store, HP Connect
HP EliteBook 8 G2Rs 2,30,000HP online store, HP Connect
HP ProBook 4 G2Rs 1,35,000HP online store, HP Connect
HP OmniBook Ultra 14 (Snapdragon)Rs 1,89,999HP online store
HP OmniBook Ultra 14 (Intel Ultra)Rs 2,14,999HP online store, HP World stores
HP OmniBook X (Intel Ultra)Rs 1,69,999HP online store, HP World stores
HP OmniBook 5 (Intel Ultra)Rs 1,24,999HP online store, HP World stores
#Launches #PCs #OmniPad #Tablet #Workstations #IndiaHP

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