Here's this week's ibl.ai platform update: a quick summary of the newest features across Data Manager, mentorAI, and skillsAI, plus a highlight from our ongoing work with global partners.
Features
Featured Mentors & Discovery
Admins can now mark mentors as "featured" and filter by this tag for faster curation and spotlighting, perfect for showcasing key mentors institution-wide.
File Uploads
Documents and media can now be uploaded directly from the browser using secure presigned URLs, making chats faster and more reliable.
Proactive Mentor Notifications
Mentors can now send AI-generated notifications via WebSockets, allowing personalized, event-based updates for learners.
Google Calendar Toolkit
Mentors can now connect with Google Calendar for scheduling-aware conversations and workflows.
Personalized Mentor Endpoint
Each learner now receives mentor recommendations personalized to their study patterns and history.
Deeper RBAC Coverage
Role and policy endpoints now include fine-grained filters and audit data for improved governance and visibility. New, explicit permission lets Viewer/Editor roles view mentor settings without over-provisioning.
Unified RBAC Management
Modernized RBAC setup across applications for consistent permissions and simplified role administration.
Instructor Workspace (skillsAI)
A new instructor-focused workspace inside courses makes insights faster and more intuitive.
Partner Spotlight
We're proud partners of NVIDIA, powering the Deep Learning Institute (DLI) platform. At NVIDIA GTC in Washington, D.C., thousands of participants used the DLI platform to complete hands-on AI and accelerated computing labs. It was a great showcase of how scalable, mentor-guided learning drives real impact.
We're proud partners of Georgetown University, MedStar Health, and DAIMLAS, supporting the Universal "AI for Health" Summit (Oct 28–29 in D.C.) with a purpose-built AI Assistant on mentorAI that guided attendees through sessions, mixers, and virtual workshops. The assistant streamlined logistics and elevated engagement across the MedStar-Georgetown AI CoLab community.