How ibl.ai Keeps Faculty at the Heart of the mentorAI Experience
This article explains how ibl.ai’s mentorAI keeps instructors at the center of teaching with an LLM-agnostic, faculty-controlled platform that delivers grounded answers from course materials, streamlines grading and content prep, and integrates directly with campus systems—cutting costs while preserving academic rigor and the human connection in learning.
Generative AI is reshaping higher education, but the real question isn’t whether we can automate—it’s how we keep the human connection alive as we do. At ibl.ai, our answer is simple: design every workflow so that instructors stay firmly in the driver’s seat. mentorAI’s architecture was built from day one to be pro-personal, enhancing—not replacing—the relationships that make learning meaningful.
Giving Instructors Super-Powers, Not Extra Work
mentorAI ships with an Instructor dashboard that reads like a teaching assistant on demand. Faculty can spin up custom course mentors, auto-generate quizzes or rubrics, and even draft research outlines in minutes—then review, edit, and publish when they are satisfied. Automated grading, and analytics mean the platform clears bandwidth for deeper conversations instead of piling on new to-dos.A Conversational Support Interface, Tuned for Pedagogy
Beyond chat, mentors can be tuned to surface approved teaching resources uploaded to their datasets, methodologies, and admin tools for instructors by a quick addition to their system prompts. Need the latest syllabus template, accreditation checklist, or a quick primer on problem-based learning? Ask once, and mentorAI retrieves the exact file or policy that it has been trained on—no more spelunking through shared drives. It’s AI that respects the craft of teaching.Faculty Voices, Loud and Clear
“The platform lets us customize mentors so every answer is grounded in our own course materials—minimizing hallucinations and keeping academic rigor intact.” — Dr. Lorena A. Barba, George Washington University “I couldn’t be happier. mentorAI loads my classes with features no other solution can match and still encourages students to think independently.” — Prof. Erika DiGirolamo, Monroe College These aren’t marketing slogans; they’re working professors celebrating extra hours reclaimed for feedback sessions, colloquia, or simply getting to know their students.Personal Connection Scales When Costs Don’t
Faculty support shouldn’t come with sticker shock. In a pilot with GWU, mentorAI delivered course-specific AI tutors 85 % cheaper than an equivalent ChatGPT license—all while running inside the university’s own compliance perimeter. Budget saved is budget that can be reinvested in faculty development, mentoring programs, and student services.Why “Pro-Personal” Matters Now
- Trust through Transparency – Instructors own the code, the data, and the final say over every prompt or policy.
- Context over Generic Answers – Retrieval-augmented generation cites the professor’s slides, not the open web, anchoring student trust.
- Time Back to Teach – When grading and content prep shrink from hours to minutes, office-hour doors open wider.
- Human-in-the-Loop Governance – Safety filters and override tools ensure AI guidance always aligns with institutional values.
Ready to Re-Center the Human in AI?
If your institution is looking for AI that amplifies faculty influence instead of diluting it, let’s talk. mentorAI delivers the scale of automation and the warmth of personal mentorship—because the future of education should always start with people. Contact us at https://ibl.ai/connectRelated Articles
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