Since its launch, the ChatGpt project has just received the most important update, with a huge impact on productivity. Openai has upgraded project features and added several important tools that should improve your productivity when using chatbots. For those using projects to organize research, manage code repositories, or coordinate complex creative work, these six new features fundamentally change possibilities within the platform.
6 new Chatgpt project features
1. Voice mode arrival item
CHATGPT Advanced Voice Mode is now available in projects. You can discuss files and past chats via voice. This is more than just a convenience feature, it changes the mobile workflow. Image review quarterly reports on walking, brainstorming product features during commuting or not authorizing code documentation.
Perform over basic transcription. Voice mode keeps the full project context, which means you can naturally refer to specific documents, previous conversations, or custom instructions. This feature helps brainstorm, review documents, or ask questions while on the go. AI Responsive It is part of every conversation in your project because it is effectively.
Unite AI/Alex McFarland
2. Enhanced memory, actually remember
Memory upgrades are probably the most transformative increase. If you are a Plus or Pro user, you can now reference past chats in your project to get your previous conversations focused and understand the response. This creates true continuity between sessions.
Consider a marketing project that spans multiple events. Previously, you needed to remind Chatgpt about brand voice decisions, reject concepts, or strategic hubs in every new chat. Now, AI automatically maintains this institutional knowledge. Chatgpt now cites your recent conversations to provide a more relevant and tailored response to you, and specifically extends this feature within the boundaries of the project.
3. Complete mobile features
Now you can upload files and switch models directly from the chatgpt mobile app. This eliminates desktop dependencies that previously hindered field work. Architects can photograph site conditions and integrate them immediately into the design project. The reporter can upload the interview transcript at the location. Researchers can capture and analyze data without returning to their table.
Model conversion capabilities on mobile devices are particularly noteworthy. Users can switch complex inferences and faster models between GPT-4Os to quickly query and optimize depth or speed based on direct demand. This flexibility is consistent with the best large language models available in 2025, where different models perform well on different tasks.
Unite AI/Alex McFarland
4. Surgery sharing controls
The project now lets you generate a unique link to share a conversation without the need to disclose the rest of the project’s files or descriptions. This granular control solves ongoing challenges in collaborative AI efforts.
Advisors can share specific analytics with clients without revealing proprietary methods. Educators can distribute individual courses while protecting the complete course. The development team can demonstrate features without exposing the entire code base. Shared systems respect transparency needs and intellectual property issues, making them ideal for AI collaboration tools in professional environments.
Unite AI/Alex McFarland
5. Expanded file capacity and intelligence
You can upload up to 20 documents per project, but the real advancement is how chatgpt handles these files. Now, the system can better understand the relationship between documents, cross-reference information, and maintain awareness of the file hierarchy.
When you upload a file to a project, the file only applies to the context of the project. This isolation prevents data leaks between projects while allowing them to be integrated deeply. Financial analysts can upload years of reports, knowing that Chatgpt will combine insights without contaminating other clients’ work. This capability is comparable to AI tools dedicated to data analysts, but in the familiar ChatGpt interface.
6. Project-level customization instructions
The instructions set in the project will not interact with any conversations outside the project and will replace the custom instructions set in your ChatGPT account. This hierarchical system can achieve unprecedented specialization.
A technician might configure an API document for a specific format requirement for an API document, while another project focuses on user guides with completely different voice and structural requirements. Each project becomes a professional AI assistant for specific tasks.
Privacy Control Address Enterprise Issues
OpenAI will not use information in projects to improve CHATGPT teams, enterprises and EDU users by default. Free, Plus, and Pro users will need to turn off the Improve Everyone’s Model setting to prevent their data from being used to train AI.
This hierarchical privacy model confirms different user needs. Enterprises are automatically protected by processing sensitive data, while individual users remain in control through settings. OpenAI notes that the project inherits your existing privacy settings—if you turn off these settings, the data is not used to train the model.
Strategic significance and expectations
These upgrade locations CHATGPT is more than just an organizational tool, they create lasting AI workspaces that you learn and develop with your users. The combination of voice integration, context memory and granular controls suggests that the OpenAI view project is the foundation of Chatgpt’s future, not an accessibility feature.
The project will be launched to Chatgpt Enterprise/EDU early next year, indicating that institutional adoption remains a priority. As organizations increasingly integrate AI into core workflows, features like projects will become infrastructure rather than a good addition. This is in line with the broader 2025 AI trend, showing the transition from experimental tools to operational necessities.
The trajectory is obvious: ChatGpt projects may get real-time collaboration capabilities, deeper third-party integrations, and possible common use case project templates. The current update provides the basis for these extensions while meeting direct user needs.
For professionals who have already invested in ChatGpt projects, these features can provide a completely new way to assist AI work. The question is not whether these features are adopted, but how quickly the organization can reorganize its processes to make the most of them.
As AI tools proliferate, the ChatGpt project shows that winning platforms will not be the most versatile platforms, but those that best understand how humans actually operate. By focusing on continuity, context and control, Openai creates something increasingly rare in the AI space: a tool to enhance human abilities without humans fundamentally changing their mindset.
