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AI NewsNotion just turned its workspace into a hub for AI agents

Notion just turned its workspace into a hub for AI agents

6:42 AM IST · May 14, 2026

Notion just turned its workspace into a hub for AI agents

Productivity software makerNotionis stepping into the agentic era. In a live-streamedproduct announcementon 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 itsCustom 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.” 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." 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. Developers and agents interact with Notion's new Developer Platform via theNotion 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.

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Amazon faces class action lawsuit over Ring facial-recognition feature

Amazon faces class action lawsuit over Ring facial-recognition feature

Amazon wassuedon Monday over alleged privacy violations from its Ring doorbell cameras. The class action lawsuit, filed in Seattle by Virginia resident Charles Sigwalt, claims that Ring’s Familiar Faces feature stores images of passersby without consent. Ring announced the Familiar Faces feature last September and faced pushback from consumer protection organizations like theEFF, as well asSenator Ed Markey(D-MA). But the company moved forward with its plans to launch the feature in December. Familiar Faces lets Ring users identify people who regularly come to their home through AI facial recognition. That way, if a regular guest, like a family member, mail carrier, or neighbor, comes to the door, the device will be able to recognize them and deliver more specific notifications like “Dad is at the door,” rather than “A person is at the door.” Ring users have to opt in to this feature, but privacy advocates noted that the people who walk past these Ring doorbells have not consented to these facial-recognition scans. That same concern is at the center of this class action lawsuit. According to the lawsuit, “Millions of other Americans passed by a Ring ​security camera and unknowingly had their facial recognition information collected.” Amazon did not immediately respond to a request for comment. At the time the feature was released, the company stated that face data is encrypted and never shared; unidentified faces are automatically removed after 30 days. Amazon’s Ring has a record of concerning behaviors regarding user privacy. In 2023, Amazonsettledwith the Federal Trade Commission (FTC) and paid a $5.8 million fine over allegations that the company’s staff and contractors had improperly accessed private videos from women customers; the FTC’s complaint said that every employee had full access to every customer video, even if the worker had no need to access that footage. Ring has also maintained relationships with law enforcement and oncegrantedpolice the ability to request Ring footage from users without a warrant. After airing a Super Bowl ad to introduce Search Party, an AI-powered feature that uses Ring footage to find lost pets, the company facedsimilar backlash. Days later, Ringcanceledits plans to partner with video surveillance company Flock Safety, which hasreportedlygiven footage to ICE and other federal agencies. When Ring founder Jamie Siminoff spoke with TechCrunch after Ring canceled its arrangement with Flock Safety, he indicated that the deal would’ve created too much of a “workload.”

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Microsoft offers devs a better way to control AI agent behavior

Microsoft offers devs a better way to control AI agent behavior

As AI agents grow ever more capable, enterprises racing to put them to work across applications, workflows, and products face a new challenge: ensuring an agent does what it’s supposed to do when it’s deployed across different environments. Microsoft is trying to solve this problem with a new open source standard called Agent Control Specification (ACS) that aims to give developers a more consistent and granular way to control what AI agents are allowed to do. The specification essentially lets developer, compliance, and security teams define their own policies for agents to follow. The rules can define what the agent may do, what it must not do, when a human should approve an action, and what evidence should be logged for later review. These policy files are checked at several “interception points” when the agent is off performing a task to make sure it stays within the guardrails. The spec comes as developers are improvising ways to control what their AI sees and does, especially with conversations focusing on AI workflows going wrong due totool misuse, or unintended actions that result in cascading failures. Today, developers might specify instructions in a system prompt, add custom checks in the application code, or use classifiers to catch problematic inputs and outputs. Those approaches work, but they often leave companies with fragmented controls that are hard to audit and harder to reuse across different frameworks, interfaces, and systems. ACS aims to integrate those controls into a common governance layer. Microsoft says the specification can be used to check whether an agent is sticking to guardrails at multiple points in its workflow — before it receives input, before it calls a tool, after a tool returns a result, and before the final response is sent to the user. A policy may allow an action, block it, redact sensitive information, or even ask a person to approve it. Developers can also insert classifiers for inputs and outputs to categorize information, predict outcomes, or determine how an agent should respond; add LLMs with prompts to act as a “judge” for policies; and logic for checking tool calls, tool selection, input accuracy, output usage, and responses. And because these policies can be written as single files, they can be bundled with agents, allowing a security policy to follow an agent across different frameworks and environments. ACS is shipping as an SDK with plug-ins for LangChain, the OpenAI Agents SDK, the Anthropic Agents SDK, AutoGen, CrewAI, Semantic Kernel, Microsoft.Extensions.AI, MCP tools, and more.

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Google rolls out fake call detection to protect against AI deepfake impersonation scams

Google rolls out fake call detection to protect against AI deepfake impersonation scams

Google announced on Tuesday that Android is launching fake call detection to protect against AI deepfake impersonation scams. The feature is rolling out globally in Phone by Google to Android 12+ devices this month, starting with Pixel devices. As people increasingly refuse to answer calls from unknown numbers, scammers are shifting their tactics by spoofing trusted phone numbers and using AI deepfake technology to sound like authority figures, family members, or employers. For example, a person may receive a phone call showing the caller ID “Mom,” and the voice may sound exactly like her, but the caller is actually a scammer using AI tools to impersonate her and request money for a fake emergency. The new feature is on by default and works automatically behind the scenes. Google explains that the new feature works kind of like a “digital handshake between devices.” When a contact calls you, and you’re both using Phone by Google, their phone sends a silent confirmation signal to your device to verify the call is legitimate and actually coming from their phone. “If a scammer tries to impersonate your trusted contact, that initial confirmation signal will be missing,” Google explained in ablog post. “Your device will instantly notice this and ping your contact’s actual device to double-check. If their real device says, ‘I’m not making a call right now,’ you’ll get a warning on your screen advising you to hang up immediately.” The tech giant notes that it built this feature on top of Rich Communication Services (RCS), making it possible for other apps and companies to adopt the technology. The launch of fake call detection was announced alongside other updates from Android, including a new Google Photos feature that lets users mix and match outfits and try them on virtually. The new “wardrobe” feature catalogs the clothes you’re wearing in your photo library by turning them into snapshots you can browse on your phone. The feature is rolling out next week to eligible users in the U.S., India, and Brazil with Android 10+. Additionally, Google Play Books is getting a new “Catch me up” feature that lets users jump back into a story with a recap. Users can also highlight a passage to ask questions. These features are rolling out today for select English titles. Google is also making it possible to search entire outfits with its “Circle to Search” feature. Now the feature will be able to find every item in an outfit at once, getting rid of the need to search piece by piece. This update is now available on all Android 14+ devices that have Circle to Search.

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Microsoft launches Scout, an OpenClaw-inspired personal assistant

Microsoft launches Scout, an OpenClaw-inspired personal assistant

In the first weeks of 2026, OpenClaw spread through the AI worldlike a sonic boom, introducing many of the industry’s most ambitious technologists to the joy and chaos of an unrestrained AI agent. The project’s momentum tailed off after OpenAI scooped up its founder, but the influence is still being felt — particularly at Microsoft. Now Microsoft is launching Scout, a new AI assistant meant to bring the power and flexibility of OpenClaw into the Microsoft 365 ecosystem. Built on the OpenClaw framework, Scout is an always-on agentic assistant, designed to work alongside the user with a persistent identity and style. Users name their own Scout instance — in my demo, it was named Sebastian — and are meant to give it ongoing feedback on tasks they want automated. As Scout VP Omar Shahine put it, the idea is to create an assistant that actively adapts to the user’s needs. “We all have our interesting quirks in how we work, and people are codifying those patterns into memories and skills that persist in their agent,” Shahine told me. “Then the agent becomes more capable, better understanding you and gaining more agency and exercising judgments.” Available through Microsoft’s Frontier program, which gives early adopters access to experimental Microsoft products, Scout will require a GitHub Copilot subscription to use. Scout is based in the cloud but operates across the desktop and web browser also, so it’s easy to connect to inboxes, calendars, and other systems. Scout will come with prepackaged skills for calendar management and drafting meeting agendas, among others, but Shahine expects the real value to be in the skills users develop on their own. That customization loop — where the assistant learns from user behavior and becomes more capable over time — is the same dynamic that has made consumer AI tools sticky; the more you invest in training your assistant, the harder it is to walk away. The system also comes with extensive security protections, meant to address concerns of unsupervised AI agents running amok, a real issue that OpenClaw surfaced earlier this year when one agent was reported to have acted erratically inside a researcher’s inbox (among other examples). Scout will come with a built-in “policy conformance system” that will continuously check whether the system is operating according to set guidelines, and each conformance check will produce its own audit trail. Scout is part of a range of AI products Microsoft launched at its annual Build developer conference, including the hardware-orientedProject Solara, an update to Copilot, and a new reasoning AI model.

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