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MCP Guides
OpenAI Dev Day 2026: from personal agents to new distribution possibilities
OpenAI’s Dev Day keynote made a case for AI that does more than answer questions. The announcements moved from Dots, personal agents that can take on work, to the models and developer tools behind them, and finally to ways to find users and build businesses through ChatGPT. The distribution announcements were the clearest expression of that last ambition: OpenAI wants developers not just to build with its technology, but to reach customers through its products.
Dots: a “delegate” with your context
Dots were presented as personal AI delegates that know what a user is working on and can take work off their plate. In the demo, “Dottie” surfaced a changed launch review, feedback from test users, and a last-minute design revision. It took voice requests, accepted tasks handed off through Slack, and used Codex to work on an app.
The keynote also showed dots participating in group chats and previewed specialist dots that Enterprise teams could set up for shared work.
Unlike the personal AI agents released by Meta and Instinct in recent weeks, OpenAI has taken a more enterprise approach to the personal AI assistant, showing mostly professional use cases and arguing that most of the value in this segment resides in highly complex tasks.
Space: a place to work together
Dots were about delegation, Space about collaboration. OpenAI introduced it as a place inside ChatGPT where teammates and their dots could work together on interactive charts, sheets, prototypes, and other shared material. The folks at Notion are most likely sweating, as the demo looked an awful lot like the current collaboration tool.
Codex: work that continues beyond your laptop
The Codex announcements centered on moving work across devices and into the cloud. OpenAI said a task could start on a phone and continue in a browser or desktop app without keeping a laptop open. It described the open-source Codex harness as a foundation for its own agents and for the new Agents API, announced in public beta with hosting, memory, and multi-agent controls. The keynote also introduced Codex Security Cloud to find vulnerabilities and prepare fixes for review, and demonstrated computer and browser use, a refreshed CLI, and UltraFast.
Distribution: turning ChatGPT into a route to customers
The final major section addressed a different problem: once you’ve built something, how do people discover it, try it, and pay for it?
The first route was Sign In with ChatGPT. Users will be able to sign into an app and use tokens included in their ChatGPT subscription. OpenAI’s pitch was that this would make a new product easier to try: users would already have an AI subscription, while developers would not have to cover the initial token cost. The keynote said the launch would begin with 16 partners and expand from there.
The second route was plugin extensions, an extension to MCP Apps that allows for richer personalization such as an interactive editor, dashboard, or workspace inside ChatGPT and Codex. This could include a collaborative design workflow in Figma or Adobe, as shown in the demo and the image below.
Building an extension, though, is only useful if someone can find it. OpenAI therefore unveiled the much awaited discovery mechanism within a conversation: when a plugin is relevant to a question, ChatGPT can surface it and let the user connect it there, assuaging many fears that plugins would be a side feature that was difficult to find and required installation before use.
The third route was aimed at enterprise sales. OpenAI announced a Marketplace with more than 30 launch partners. Enterprise customers, it said, could use part of an existing OpenAI commitment to purchase partner products; companies with their own commitments could spend them in the marketplace too.
Taken together, the distribution announcements described three distinct ways to build a business around OpenAI’s platform: let ChatGPT subscribers use your app, make your app part of ChatGPT, or sell it through a marketplace for enterprise customers. That was the larger story of the keynote’s closing section: not simply more tools to build with, but an attempt to make ChatGPT a place where apps can be discovered and do business. While the focus of the day’s conference was still largely B2B-oriented, alongside its many improvements in its ad platform, OpenAI is laying the groundwork for use cases that span both work and large-scale B2C use cases.
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