What is the new Lumo Projects feature?
Proton’s privacy-focused AI assistant, Lumo, has rolled out a new feature called Projects. This dedicated, encrypted space is designed for tasks you expect to revisit over time—think white papers, research outlines, or recurring project notes. By isolating these long-lived tasks, Lumo helps you keep sensitive work separate from casual chats, reducing the risk of accidental sharing and making long-term planning more seamless.
Why encryption matters for productivity tools
Encryption is a core value at Proton, and it extends to Lumo’s latest Projects space. The feature ensures that only you can access your stored materials, even if your device is compromised. This is especially important for researchers, students, freelancers, or anyone handling drafts, outlines, or confidential information. With encrypted Projects, you can store work-in-progress documents, reference lists, and task roadmaps without worrying about unauthorized access or data leaks.
How Projects integrates with your daily workflow
Projects sits within Lumo’s conversational interface, so you don’t need to switch apps or learn a new tool. You can create a project, add prompts, and organize related materials through natural language commands. For example, you might say, “Create a project for my 2026 dissertation outline, add a literature matrix, and schedule weekly check-ins,” and Lumo will respond with a secure, structured workspace. This integration makes it easier to draft outlines, gather sources, and track progress without leaving your chat thread.
Privacy-centric design choices
Beyond encryption, Proton emphasizes privacy-preserving design. Projects are accessible only to you, and any data handling follows Proton’s strict zero-access architecture. This means even Proton staff cannot read your encrypted content. The combination of end-to-end encryption and minimal data retention reinforces trust in a tool intended for sensitive documents, personal research, and professional work.
What this means for researchers and students
For researchers, the Projects space can host lengthy literature reviews, datasets descriptions, and iterative drafts. Students can manage thesis chapters, lab notes, or group project plans in a single, private area. The ability to segment work into a dedicated project reduces clutter in your main chat and provides a clear boundary between casual conversation and serious writing tasks. The encrypted space ensures you can revisit notes across study sessions without fearing exposure or data compromise.
How to start using Lumo Projects
Getting started is straightforward. In the Lumo app, look for the new Projects tab or prompt to create a project. Name your project, select optional tags for quicker retrieval, and begin populating it with prompts, outlines, or references. As you add content, you can continue interacting with Lumo in the main chat, while Projects remains a secure repository for your long-term work. If you ever need to move content out, you can export materials in a secure format, depending on Proton’s current capabilities and user settings.
Limitations and considerations
While Projects enhances privacy and organization, it’s important to manage expectations. The feature is designed for continued, revisitable work rather than momentary notes. It’s also worth reviewing Proton’s current terms and any updates to encryption standards, since security practices evolve. Users should maintain good device hygiene and authentication practices to complement the encryption, ensuring access remains strictly in their control.
Looking ahead
Proton’s introduction of an encrypted Projects space signals a broader trend: integrating privacy-first SG&A tools with collaborative AI assistants. If Lumo’s Projects evolves with richer integration options—such as linking to external references, implementing version history, or enabling granular sharing controls—it could further blur the line between personal productivity and secure research environments. For now, you gain a robust, private place to organize enduring work within a familiar chat-based interface.
