OpenAI adds app-like interfaces to ChatGPT plug-ins

During its recent DevDay presentation, OpenAI announced a major overhaul of its ChatGPT plug-in ecosystem, introducing features that allow developers to build interactive, app-like experiences directly inside the chatbot. While ChatGPT already integrates with external tools like Slack, Airtable, Google Drive, and SharePoint, the new plug-in extensions will grant these applications a permanent slot in the ChatGPT sidebar. This update enables developers to design interactive panels and custom file viewers, allowing users to interact with third-party tools and proprietary file formats without leaving their active chat sessions.

To support these upgrades, OpenAI is launching a new Plugin Creator tool designed to simplify the development process. The company has also redesigned the submission flow to provide clearer feedback to developers looking to publish their creations in the plug-in directory. On the user side, OpenAI has improved its ranking and recommendation algorithms to make plug-ins easier to discover and surface during conversations. Additionally, users will gain more granular control over security by approving specific data access permissions individually when they activate a plug-in.

The update also extends to ChatGPT Sites, the lightweight web pages that users can build using the AI. These sites can now host the new plug-ins, making it easier for teams to share custom tools and collaborate using their own connected data and permissions. Furthermore, OpenAI is adopting the proposed MCP Events specification. This integration allows plug-ins to trigger automated workflows based on specific events occurring within a connected application, while also making overall automation management much simpler for developers.

For software developers and enterprise teams, these changes shift ChatGPT from a simple conversational assistant into a highly customizable operating system for work. By embedding interactive panels and event-driven automations directly into the chat interface, developers can build more cohesive workflows that reduce context switching. This allows users to trigger actions in external databases or collaboration tools seamlessly, streamlining daily operations and maximizing the utility of custom enterprise data.