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The focus of OpenAI’s Dev Day on Tuesday may have been onits agentic assistants known as Dots, or itsnew AI models, but combined, the AI company’s announcements pointed towards a bigger plan: a disruption of the traditional app store model. Taken together, today’s announcements turn ChatGPT itself into the place where software can be discovered, launched, and used by people and agents alike. In addition, OpenAI introduced a way for people to bring their ChatGPT identity with them, while also allowing them to use their existing AI allowance in third-party apps. This isn’t the first time OpenAI hasexperimented with how apps could operatewithin its familiar chatbot interface, but the current vision feels more fleshed out than before. For starters, the comapny is turning ChatGPT itself into a surface for launching apps. The chatbot, which the company says now has 1.2 billion weekly users, has yet to fully capitalize on its potential as a discovery mechanism for finding and using apps that work with AI. To change that, ChatGPT will begin to make app suggestions within the flow of conversation when it recognizes that a particular app could help the user complete their task. From there, the user will be able to connect the app and begin using it directly within ChatGPT. This is also aided by theexpansion of ChatGPT’s plugin architecture,which now supports extensions. This allows app developers to build interactive panels where users can work with their tools while they’re chatting with ChatGPT. This essentially turns the apps and services that users would have previously used via the web or through a native desktop or mobile app into something that’s operated directly within ChatGPT. Developers that sign on with the system can build AI-native versions of their apps through ChatGPT, the same way they would through the open web or a mobile app store. As more and more discovery happens through AI chat, it’s a distribution channel that’s hard to pass up. Users get an incentive to use that channel too, because “Sign in with ChatGPT” will let them bring their AI allowance with them. (OpenAI has 16 launch partners on this effort, including Cognition’s Devin, Notion, Vercel, T3, OpenClaw, and Dactyl, but plans to add more soon, it says.) In a demo at OpenAI’s Dev Day event, the company showed off how itsown new meeting appcould work inside ChatGPT, showing upcoming meetings from the user’s calendar. Here, the user could easily choose to use AI to take meeting notes, then receive a summary of follow-up items when the meeting wrapped. In another example, users would work with design-focused apps like those from Figma and Adobe to work on revisions of their current project or use a particular feature that would have otherwise required a standalone app. The apps can be shared with others, like work colleagues, in the lightweight websites ChatGPT now produces. From these ChatGPT sites, a user’s coworkers could sign in to the app with their own credentials and permissions, making the software experience personalized to them. OpenAI also talked about improvements to how developers submit plugins for review — OpenAI’s version of Apple’s App Review process, if you wil. Now, developers will be able to track their review, see what needs to be fixed, request a human review, and update their plugin’s tools without starting their whole submission over. The company also announced a new enterprise app marketplace where partners can market their services. At launch, there are some 30-plus partners offering their app through the OpenAI Marketplace, including Adobe, Figma, Sierra, Decagon, HubSpot, Salesforce, ServiceNow, Harvey, Legora, Palo Alto Networks, CrowdStrike, Baseten, and others. Eligible customers can apply part of their OpenAI commitment toward approved partner software, OpenAI said. Beyond turning ChatGPT into an app discovery tool where users connect with apps directly, OpenAI’s embrace of agents is gently pushing users into a new era where they don’t have to think as much about which app to use or why, relying instead on their AI agents’ suggestions. With the launch of itsautonomous AI agents known as Dots, agents will navigate the web for you, executing the tasks that need to be done in their own cloud infrastructure. Each Dot has its own cloud computer and browser, and can also use connected apps. Compare this to the old model, where users who wanted to manage some type of project — like building a website or coordinating a meeting calendar — would have to download different apps to their computer or phone to make that happen. Now, users will instead tell an AI agent what they want to have done, and it will simply do it for them. In some cases, the agent’s work may require access to another AI model or a particular application. But this is something the agent may bring to the user, rather than the other way around — where the user is the one to go out and seek the particular tool for the job. As OpenAI explains, the Dots will be able to connect to its ecosystem of now over 4,000 apps. What’s more, the Dots can be proactive, perhaps jumping in to offer help with a project or bug, or handling a task the user forgot — but all done with the user’s approval. The Dots will perform what OpenAI calls “proactive research” in the background using connected apps in a read-only mode, but users would still have control over the actions they take. This system could give app makers another way to reach customers outside of Apple and Google’s app stores. For instance, users could subscribe to a service through the app maker’s website, then connect that account to ChatGPT or Codex for their agent to use. OpenAI has not said, however, that these features would eliminate the need for separate third-party subscriptions or other charges. Notably, OpenAI didn’t tease any plans on this front today, instead focusing on how it’s building the discovery, distribution, and interface pieces to counter the app store model, along with an identity layer and a mechanism for sharing a user’s existing ChatGPT AI allowance. It did not announce plans Tuesday for a billing or revenue-sharing system that’s comparable to the economic layer of traditional app stores.
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Metaannouncedon Tuesday that it’s expanding its AI agent Muse to small businesses and adding new integrations, including Shopify, Dropbox, Slack, and more. The tech giant says the agent can help owners run their business and find new customers. By plugging Muse into the software that small business owners are already using to manage sales, operations, and marketing, Meta is betting that an AI agent with context of a company’s whole operation will be more useful than a stand-alone chatbot, as it continues to compete against rivals like OpenAI and Google. Muse can also link to Instagram professional account analytics, Facebook pages, and Meta ad accounts. Meta says the AI agent also knows what a business sells, how a brand sounds, and what customers ask about most. Additional integrations include Asana, Box, Canva, Figma, Granola, HighLevel, Intuit QuickBooks, Klaviyo, Lovable, Notion, Stripe, and Zoom. Muse for Small Business is available for free with usage limits. Businesses that want more usage can purchase a subscription plan. “Small businesses have been growing on our apps for nearly two decades,” Meta wrote in their blog post. “They told us they’re short on hours, not ideas. So we built Muse for Small Business to help get work done with the tools they already use.” Meta has been focused on expanding its AI tools beyond the consumer and into the enterprise market. The launch of Muse for Small Business comes a day afterMeta introduced“Meta Enterprise Platform,” a new initiative aimed at expanding the company’s AI offerings to businesses and corporate customers. The move could help Meta see a return on all the money it’s pouring into AI. The tech giant hired Chirantan “CJ” Desai, the CEO of database software giant MongoDB, to lead the new initiative. Meta says it will focus on bringing its full technology stack, including Muse, Meta Business Agent, Muse API, Muse Code, and more, to businesses and developers. The rollout of Meta Enterprise Platform is built on the momentum of Muse, which launched earlier this month andtopped the app charts in the U.S. and Canadaahead of ChatGPT.
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When former Yahoo CEO Marissa Mayer told me earlier this month that she was finally ready to unveil Dazzle, the personal AI assistant thatraised an $8 million seed round last December, I couldn’t help but wonder if she’s playing copycat to Meta’s Muse, Instinct, and the wave of similar tools that have flooded the market over the past month. But when Mayer finally gave me a demo, Dazzle proved it’s taking a different approach. Instead of building context about you from text-heavy apps like email, calendars, and shopping histories, Dazzle’s AI assistant gets all its context from a single source: your camera roll. “I think that photos are an underappreciated source of information,” Mayer said. “You’ll be surprised what we can learn about you and how good a job we can do with your photos.” Mayer argues that if a photo is worth a thousand words, your camera roll is worth millions. By analyzing all the photos stored on your phone, Dazzle claims to understand your hobbies, interests, food, and style preferences, how you like to spend their time, and with whom. “We understand whether or not you like to ski, where your most recent trip was, what types of things your kids are into,” Mayer said. It’s no surprise that Mayer has built an assistant centered around photos. Her previous startup, Sunshine, launched an AI-powered photo-sharing tool calledShinein 2024. While that product was widely criticized for its outdated design, failed to attract widespread usage, and eventuallyshut down, Mayer says it nevertheless built “interesting IP.” I was eager to try Dazzle, which users can interact with through its app or via text. Dazzle splits its functionality into two core experiences. For immediate tasks, it can scan recent photos to pull details — like populating your calendar from an event flyer, or finding a repair person after spotting a broken garage door in your camera roll. Second, it mines your photo library to come up with personalized ideas for everything from holiday vacations to birthday gifts. Given that plenty of tools can parse pictures — like looking up where to buy a product, or searching information on an interesting art piece — I was far more curious to test what Dazzle could learn from my photo history. For instance, Mayer uses Dazzle to brainstorm family outings. By scanning her photos, she says, the assistant deduced that her family loves escape rooms, and subsequently suggested multiple San Francisco Bay Area locations she’d never heard of. When I tested Dazzle with a request for vacation recommendations, it suggested several Mediterranean spots, likely picking up on my past trips to Spain and Greece. But it also threw in Sicily, which surprised me since I was there four years ago. After some more tinkering, I noticed it has blind spots — it failed to remember my daughter already knows how to roller-skate when I asked if I should buy her a pair for her next birthday. Despite the hiccups, though, I appreciated Dazzle’s ideas for activities, like suggesting a local pottery studio, or a bioluminescent kayak tour in Tomales Bay. I’m sure the product will improve with time, and while I’m undecided on whether I’ll keep using it, I like that its suggestions feel more personal than what you’d get from an AI assistant that only knows your calendar and email. In the meantime, Mayer contends that given security concerns with products like Instinct and Muse, users may feel more comfortable handing over their photo libraries to an AI instead of granting it access to sensitive data like emails and messages. She emphasized that Dazzle prioritizes privacy, and discards any personal information the AI flags as sensitive. This flurry of new AI assistants is an exciting time for consumers. And while Dazzle isn’t as broadly useful as other offerings quite yet, it offers a glimpse of a future in which AI can do more than just execute tasks; it actually knows who you are.
Almost every AI tool’s demo shows a user sparring with the assistant to book travel, as it seems to be the most frequent use case. The viral Instinct agent is no different, as it sees more than 50% of transactions on the platform for travel, the company’s founder, Noah Shinn, said ina recent podcast. In an interview with investor Patrick O’Shaughnessy, Shinn also mentioned that the invite-only platform is approaching a billion dollars in annual transactions. He didn’t specify what the calculation behind this rate is, though. “People who are not on Instinct use travel agencies (or sites) to book hotels or flights. What’s the benefit of that interface? They properly unify different hotel chains, airlines, and services, and present them in a nice way for users, who have the option to check out immediately,” Shinn said. “I think there is a better experience with Instinct or other interfaces where users can say, ‘Hey, I need to be in New York tonight; it’s urgent.’” He mentioned that the platform is growing 10% day by day, with transaction volume increasing at a similar rate. The company’s founder was alsodraggedfor some of his comments on the show. He said that most restaurants have a first-come-first-served reservation system, which doesn’t account for someone’s special occasion. He said that an agent can check restaurant sites every five seconds and inform the user about available slots. Shinn also hinted that the company wants to reinvent reservations and give users preferential treatment. “If you take restaurant reservations from scratch, from the user’s end, they want the reservation for a significant life event that they might have. And on the restaurant end, they just want interesting people. They want special occasions. They want to cater to those rather than, maybe, the local [person] who keeps, you know, taking up a table once a night [sic], and there’s no sort of special event there,” Shinn said. Some observerspointedoutthat agents can lie about anniversaries and special occasions just to book a table at a restaurant. They alsosaidthat some restaurants prefer local patrons as they are regulars and bring more business to the outlet. Instinct recently raised$1 billion in Series C funding Monday at a $10 billion valuationfrom Sequoia Capital, Benchmark Capital, and Coatue. The 14-member startup is competing with Meta’s Muse andKhosla-backed Wajoin the personal agent space.
President Donald Trump announced on Tuesday that the White House is launchingAmerica.gov, an AI chatbot intended to help people find government services and other information. Googleconfirmedthat it is a partner on this launch and that its AI model, Gemini, is involved, but it’s unclear if other AI companies also contributed. “Instead of forcing citizens to search through the endless maze of tens of thousands of government websites and rules… you’ll now have one front door for every single question,” Trumpsaidin a post on X. Making government services easier to navigate is a worthwhile goal, but is an AI chatbot the best way to do this? Large language models are not infallible and remain prone to hallucinations. In fact, CNNrecently reportedthat the U.S. military nearly launched an armed operation against a Chinese vessel it believed was carrying components for nuclear weapons. The military aborted the mission at the last minute after realizing that the supposed threat was just an AI hallucination. If someone receives faulty information from America.gov, it probably won’t trigger nuclear warfare, but a mistake can still have serious consequences. People might rely on this chatbot to access information about applying for food stamps, renewing their visas, or filing taxes, where errors could mean missed deadlines, denied benefits, or penalties.
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OpenAI isn’t only coming after productivity software with ChatGPT’s new Pages, Slides and Space features — the AI lab is now targeting any application that could work better when integrated with ChatGPT. At the company’s Dev Day presentation on Tuesday, the AI company said it is now allowing developers to build their own app-like experiences within ChatGPT using plugin extensions. OpenAI already supportsplugins, which connect ChatGPT to everyday tools like Slack, SharePoint, Airtable and Google Drive, but the new plugin extensions will give apps a dedicated home in the ChatGPT sidebar. Plus, developers will be able to build interactive panels that let users work with their tools while they’re chatting with ChatGPT. This experience can also include file viewers that support whatever file formats the developer’s product uses, the company notes. In addition, OpenAI says it’s making it easier for developers to build plugins, and streamlining the discovery process for end users. Devs are getting a new Plugin Creator tool for building, and can submit them to the plugin directory via a redesigned flow that offers clearer feedback. Meanwhile, the company says it has improved how plugins are ranked and recommended within its directory, as well as when they’re surfaced in conversations. When users choose a plugin to work with, they can approve its access needs individually as well. In addition, ChatGPT Sites, the lightweight websites users can build with ChatGPT, can host these plugins, too. For example, this would let someone share their apps with colleagues, who can use it with their own connected data and permissions. OpenAI also said it’s adding support for the proposedMCP Events specification,which would allow plugins to start automations based on events in a connected app. The company is also making automations easier to add and manage.
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OpenAI introduced new capabilities for its software engineering agent Codex, making it more useful beyond a developer’s laptop with reusable cloud development environments that can be accessed from any device. The update, announced at OpenAI’s Dev Day on Tuesday, is one of several for Codex. OpenAI also announced a refreshed Codex CLI, a new code review experience, tools to harden infrastructure, and other API enhancements. While Codex could already spin up cloud tasks to do work remotely, today’s announcement shows that OpenAI is making those cloud environments more persistent and configurable, rather than treating each cloud task as an isolated remote sandbox. As the company explains, developers will now be able to run Codex wherever they need it, whether that’s on a computer, remotely from a phone, or in the cloud. The reusable development environments are designed to help tasks start more quickly and give teams a shared workspace with approved settings and permissions, OpenAI said. Meanwhile, the Codex CLI is getting an update that allows developers to start and direct tasks using their voice. A new /agents view is meant to make it easier to delegate work and track multiple tasks at the same time. Other changes include improvements to everyday tasks such as editing prompts, resuming sessions, and using worktrees. OpenAI is also rolling out a “cleaner” terminal user interface designed to make longer sessions easier to read. Codex can also be pulled into a new code review experience within the ChatGPT desktop app, where users can read summaries, explore code changes, or ask Codex about potential issues before sharing feedback on GitHub pull requests or GitLab merge requests. Automatic code reviews also let Codex perform an initial review while users step away from their computers. On the security side, OpenAI is rolling out a new set of tools called Codex Security Cloud, designed to help developers secure their infrastructure. Developers can use the tools to scan entire GitHub repositories on demand or on a regular schedule, as well as whenever new commits arrive. Codex will then investigate findings, remove duplicates, and prepare fixes in the cloud — even when the user isn’t active and their laptop is closed. Notably, the toolset includes access to the models offered through OpenAI’s cybersecurity initiativeDaybreak Blue, without requiring developers to submit a separate application. OpenAI also announced several API updates, including a new Decisions API for real-time decision-making. The API uses Luna to answer a set of user-defined questions with predefined answers. The company also introduced an updated a version of the Agents API that now supports computer use and the ability to use Amazon’s Bedrock Managed Agents to build OpenAI agents that run entirely on AWS.
At OpenAI’s DevDay event on Tuesday, the company showed off GPT-6.1 Sol, a mere week after itlaunched GPT-6 Sol. OpenAI says the new model delivers nearly the same level of intelligence as GPT-6 Astra for agentic coding, computer use, and professional work, at one-fifth the standard input and output token prices. Notably, the company is not launching GPT-6.1 Astra, as was originally expected.The Wall Street Journalreported this week that OpenAI scrapped the release over safety concerns raised by researchers during internal testing after the model showed higher levels of deception and a tendency to move forward with tasks without asking the user for permission. OpenAI says GPT-6.1 Sol delivers significant improvements over its predecessor GPT-6 Sol across complex tasks, including programming and debugging, understanding documents, and executing multi-step workflows. The company claims that on several of these fronts, the model approaches GPT-6 Astra’s performance. OpenAI also says the new model improves factual accuracy when given difficult prompts. Its largest gain over GPT-6 Sol on this front appears at low reasoning effort, where the share of responses containing a factual error drops from 11.4% to 7.7%. Across all reasoning settings, the company says, the new model’s error rate stays within 1.9% of GPT-6 Astra. Additionally, the company says GPT-6.1 Sol is more upfront about its limitations and more reliable when it comes to honoring user intent and safety constraints. In challenging evaluations, it’s said to fail less often than GPT-6 Sol at flagging broken search tools, following explicit restrictions, and avoiding unauthorized outcomes during tasks. OpenAI claims it observed no attempts to circumvent the automated safety reviewer, consistent with GPT-6 Astra and GPT-6 Sol. GPT-6.1 Sol is available starting today to all Plus, Pro, Business, Enterprise, and Edu users in ChatGPT Work and Codex. OpenAI notes that the model is not yet available in Chat.
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At OpenAI’s Dev Day event on Tuesday, the company announced the launch of Dots, a new personal agentic assistant powered by GPT-6 Astra. The company describes Dots as “remarkably capable, always-on agents built to handle everything.” Unlike Codex or ChatGPT, Dots are meant to operate independent of any specific hardware or interface, pursuing user-defined goals continuously in the background with minimal oversight. “Today, you can start with your primary dot, give it a name, and make it your own,” OpenAI said in an announcement post. “Over time, we envision teams of Dots working together on your behalf.” Dots will be available starting Tuesday in ChatGPT, for Pro and Business Premium users in eligible markets. Users can launch Dots from Codex or ChatGPT. In its announcement, OpenAI envisions a variety of ways Dots could be put to work. In one scenario, a software developer deploys a dedicated dot to monitor customer feedback, implementing bug fixes and requested features as necessary. In another, a scientist employs a dot to rerun analysis and investigate unexpected result as experimental data becomes available. Users can message Dots through Slack, Teams and other organizational platforms, with text message support coming soon. OpenAI also envisions “specialist Dots” that take on specific responsibilities. Individual Dots can be provisioned with specific identities, credentials and tools through existing systems. OpenAI is already working with Microsoft to integrate into the company’s Agent 365 security controls. Much of this functionality was already possible through Codex and similar agentic harnesses — but Dots bundles together those features in a new package with a focus on independent agentic actions. The branding also presents a bubbly, cartoonish persona, similar to Meta’s recently released Muse agent. The Dots look like…well, dots. The little floating cartoons are a makeover for OpenAI’s software, and are the latest example of a company attempting to make AI more relatable.
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Persistent's Nagarro deal adds people, clients and European reach. The harder test is whether that scale can translate into higher-value AI and engineering work.
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Claude Sonnet 5.5 has been launched as the successor to the Sonnet 5 AI model, Anthropic announced on Monday. The Dario Amodei-led AI giant claims that the new Claude Sonnet 5.5 AI model is faster and notably more cost-efficient than its predecessor. Moreover, the AI model is priced at the same rates for input and output tokens as Claude Sonnet 5. The latest AI model is also claimed to provide improvements in the cyber capabilities department and is being deployed with the same safeguards as the Opus 5.5 model. It is also claimed to deliver enhanced coding performance.
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OpenAI launched the GPT-6 Astra AI model earlier this month and followed it up with more cost-efficient GPT-6 Sol and GPT-6 Luna models. Now, the company appears to be slowing down the GPT-6 rollout, as a new report claims it has cancelled plans to launch the GPT-6.1 Astra. The GPT-6.1 Astra AI model was supposed to launch in October and was reportedly being developed as a more capable successor to GPT-6 Astra. The model reportedly failed to follow the instructions during internal testing.
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