OpenAI announced significant updates to the ChatGPT Projects feature during its "12 Days of OpenAI" event, providing users with a more powerful project management and AI interaction experience. As one of the core functions of ChatGPT, Projects aims to help users organize and manage AI-driven workflows more efficiently. This update introduces several innovative features, including deep research, voice mode, improved memory functionality, and enhanced mobile support, marking a new breakthrough in personalization and collaboration scenarios for ChatGPT. AIbase has summarized the key highlights of this update and its potential impact.
ChatGPT Projects: From Folders to Intelligent Workspaces
ChatGPT Projects was initially designed as an organizational tool, allowing users to integrate conversations, custom data, and GPT models into a "project," similar to folder functionality. However, the latest update transforms Projects from a simple organizational tool into an intelligent workspace. Users can now integrate various ChatGPT features within a project, including SearchGPT search, Canvas editing, and code generation, creating a highly integrated AI collaboration platform.
According to recent information, OpenAI added the following features in the update on June 12, 2025:
Support for deep research: Projects can now combine web searches with project context (such as conversations, files, and instructions) to provide more precise external information retrieval capabilities.
Integration of voice mode: Users can interact directly with projects via voice, suitable for mobile scenarios or real-time collaboration needs.
Optimized memory functionality: Historical conversation references within projects are now smoother, and ChatGPT can intelligently recall past contexts, improving continuity and efficiency.
Enhanced mobile support: Supports file uploads, model selection, and real-time video and screen sharing, further expanding usage scenarios on mobile devices.
These updates make ChatGPT Projects a multifunctional AI work center applicable to various scenarios, from personal task management to team collaboration.
Core Highlights: Deep Integration and Multimodal Interaction
**Deep Research (Deep Research)** is one of the core highlights of this update. By combining conversations, documents, and custom instructions within the project with external network data, ChatGPT can provide more targeted research support. For example, users can upload project rules or data tables, and ChatGPT will conduct in-depth web searches based on this information to generate answers that better meet their needs. This function is particularly suitable for scenarios requiring rapid integration of complex information, such as academic research, business analysis, or event planning.
The addition of voice mode further enhances the interaction convenience of ChatGPT Projects. Users can interact directly with projects via voice commands, such as uploading files or querying project content on mobile devices. This function is especially suitable for mobile office or real-time collaboration scenarios, such as quickly accessing project data during meetings.
The improvement in memory allows ChatGPT to intelligently reference historical conversations and data within the project. For instance, when organizing an event, users can upload budgets, rules, and participant lists to the project, and ChatGPT will provide continuous optimized suggestions based on this information, even remembering previous discussions to avoid repeated input.
In addition, the enhancement of mobile support makes ChatGPT Projects more flexible on iOS and Android devices. Users can now upload files, switch models (such as GPT-4o or o3-pro), and even collaborate with teams through real-time video and screen sharing functions. This multimodal interaction capability transforms ChatGPT Projects from a static tool into a dynamic work platform.
Applications: Multidimensional Empowerment from Individuals to Enterprises
The upgrade of ChatGPT Projects significantly expands its application scenarios, covering a wide range of needs from individual tasks to enterprise-level collaboration. Here are some typical use cases:
Personal Productivity: Users can use Projects to organize study notes, draft writings, or travel plans. For example, they can create a "thesis writing" project to integrate reference materials, outlines, and ChatGPT's writing suggestions into a workspace.
Team Collaboration: Enterprise users can share data and instructions through Projects to achieve AI-assisted teamwork at the team level. For example, marketing teams can create a "new product launch" project, upload market research data, and use ChatGPT to generate social media content or analysis reports.
Education and Research: The ChatGPT Edu version has been customized for university scenarios, and the Projects function further supports academic tasks such as thesis writing, data analysis, and funding applications.
Event Planning: As demonstrated by OpenAI's "Secret Santa" case, users can upload rules and budget tables and use ChatGPT to generate event plans or automate task assignments.
In addition, OpenAI has launched enterprise-level features, such as pre-built connectors with platforms like HubSpot, enabling enterprise users to seamlessly integrate ChatGPT with internal data systems, further enhancing its practicality in commercial scenarios.
Industry Impact: An AI-Driven Workflow Revolution
The upgrade of ChatGPT Projects not only improves user experience but also has far-reaching impacts on workflow management in the AI industry. AIbase believes that the following aspects deserve attention:
Productivity Enhancement: By integrating multimodal interactions and deep research functions, ChatGPT Projects significantly reduces time costs for users in information gathering and task management.
Enterprise Digital Transformation: The support for connectors with enterprise-level applications (such as HubSpot) indicates that OpenAI is accelerating the landing of AI in commercial scenarios, helping enterprises achieve data-driven decision-making.
Educational and Research Innovation: The combination of ChatGPT Edu and Projects provides efficient AI assistance tools for academia, potentially changing traditional research and teaching models.
Competition Landscape Changes: The launch of the Projects function is seen as OpenAI's response to Anthropic's Claude Projects function, reflecting intense competition in functional innovation in the AI industry.
However, the global rollout of Projects is still in progress, and some users may need to wait to experience all the features. Additionally, as AI tools become widely used in enterprises, issues related to data privacy and security need further attention. OpenAI has stated that its integrations with third-party applications comply with data protection regulations such as GDPR and CCPA, and use strong encryption and dual authentication mechanisms to ensure security.
Future Outlook: The Next Stop for AI Work Platforms
The upgrade of ChatGPT Projects marks OpenAI's deep exploration in the field of AI-driven workflows. AIbase predicts that with the introduction of more connectors and functions, Projects will become a true "AI work hub," serving not only individual users but also deeply integrating into enterprises, education, and creative fields. In the future, OpenAI may further integrate real-time data analysis, enhanced collaboration tools, and even AR/VR support to pave the way for metaverse and mixed reality scenarios.
AIbase will continue to track the progress of ChatGPT Projects and bring readers the latest AI technology dynamics. Undoubtedly, this move by OpenAI provides a new paradigm for how AI can empower human work, and we are full of anticipation for the future of intelligent work.
Official Update: https://help.openai.com/en/articles/10169521-using-projects-in-chatgpt
