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v3.19.0 - AI Mentor 1.0, Enterprise Authentication & White-Label Experience
π Release Overview
With the introduction of AI Mentor 1.0, organizations can simulate real-life learning scenarios β from soft skills and sales negotiations to phishing awareness and compliance training. These AI-driven simulations create safe, adaptive environments for employee development while offering measurable learning outcomes.
This release also marks a major step toward enterprise-grade security standards, introducing Single Sign-On (SSO) and Multi-Factor Authentication (MFA) for secure, seamless access.
Additionally, it delivers extensive white-label customization options, enabling organizations to align Mentingoβs look and feel with their brand identity and deliver a consistent experience across teams and regions.
β¨ Highlights
- AI Mentor 1.0 β realistic, AI-powered simulations across multiple modes (Roleplay, Teacher, Mentor) that enable learners to practice real-life scenarios in communication, sales, cybersecurity awareness, and more.
- Enterprise Authentication β SSO (Google, Microsoft, Slack) + MFA with enforcement and strong password policies.
- White-Label Customization β fully branded themes, logos, login backgrounds, and certificate designs.
- Admin Tools β learner and course analytics, group management, onboarding, notifications, and bulk enrollment.
- Commerce Options β promotion codes and customizable currencies for selling paid courses.
- UX & Accessibility β global search, improved navigation, and browser-based language detection.
π§ Learning & Development Experience
Features
- AI Mentor 1.0 introduces interactive, scenario-based learning simulations with adaptive AI feedback, enabling employees to practice negotiation, communication, and cybersecurity skills in a safe, measurable environment.
- Multiple AI Mentor types (Roleplay, Teacher, Mentor) provide varied learning dynamics β from open-ended role simulations to guided tutoring and reflective feedback.
- AI Mentor personalization: groups can now include defined characteristics that the AI Mentor takes into account when responding, creating more tailored learning experiences.
- Automated certificates now celebrate learner milestones instantly and support multilingual audiences.
- Embed lesson type allows seamless integration of external or embedded learning content directly into the course structure.
- Quiz passing threshold settings enable admins to define custom passing criteria for assessments.
Improvements
- Simplified onboarding and course navigation for a smoother learner journey.
- Enhanced content authoring tools with richer formatting and easier media uploads.
- Browser-based language detection automatically adjusts the interface to each learnerβs preferences.
Fixes
- Improved lesson refresh, progress tracking, and drag-and-drop behavior for consistent completion flow.
π’ Enterprise Management & Administration
Features
- Admin dashboards and analytics provide visibility into course completion and learner progress for data-driven L&D decisions.
- Group and enrollment management simplify bulk onboarding and cohort assignments, including bulk student enrollment into courses.
- Automated notifications and announcements keep administrators and learners aligned on updates.
Improvements
- Enhanced provider information display, allowing learners to easily see which organization is behind the training content and manage brand visibility across the platform.
- Streamlined bulk user imports and archiving to reduce administrative workload.
Fixes
- Resolved issues with user import validation and data consistency across admin views.
π Security & Access
Features
- Introduced Single Sign-On (SSO) with Google, Microsoft, and Slack, plus Multi-Factor Authentication (MFA) for stronger identity protection.
- Strong password policies enforce higher security standards for all user accounts.
Improvements
- Configurable access modes (public, invite-only, or restricted) for flexible training distribution.
- Refined role-based permissions to ensure appropriate visibility.
Fixes
- Addressed edge cases with login redirects, MFA loaders, and token refresh reliability.
π¨ Customization & Branding
Features
- White-label branding options let organizations fully customize colors, logos, and themes to match their visual identity.
- Custom login backgrounds, color themes, and certificate background designs extend brand consistency across the learner journey.
Improvements
- Added theme picker for quick configuration of visual styles.
Fixes
- Corrected inconsistencies in certificate rendering and dark-mode logo display.
β‘ Performance & Reliability
Features
- Optimized navigation and page transitions for faster, smoother interaction.
Improvements
- Better caching, lesson loading, and data handling reduce wait times and improve stability.
- Streamlined drag-and-drop mechanics and file upload reliability.
Fixes
- Fixed translation gaps, broken imports, and course refresh issues to ensure a stable experience across browsers.
π° Commerce & Payments
Features
- Promotion codes allow clients to offer discounts when selling courses directly through Mentingo.
- Custom course currency settings enable localization and flexibility for paid course offerings.
π§βπ» Developer Experience & Operations
Features
- Environment Manager UI (available for selected environment variables) allows configuration changes directly within the platform β no code required.
- AI Mentor evaluation framework with metrics and monitoring tools to analyze AI response accuracy, consistency, and performance over time.
Improvements
- Automated CI/CD pipelines accelerate deployment and reduce manual effort.
- Improved internal analytics for tracking AI Mentor behavior quality and fine-tuning conversational models.
- Optimized AI evaluation systems with a dedicated Langfuse instance for better AI Mentor responsiveness.
- Extended automated testing (unit + end-to-end) for long-term reliability.
Fixes
- Updated build workflows and version tracking to prevent deployment mismatches.
π Special thanks
- to @its-gabo for his outstanding contributions to the core of the project and continuous architectural improvements.
- to @Japrolol for leading the development of AI Mentor 1.0 and driving its integration across the platform.