Case Study
Human-Centered AI at Morehouse College
How Morehouse College deployed AI teaching agents that align with its pedagogical mission — giving faculty full control over curriculum-aligned mentors while preserving the institution’s commitment to ethical, human-centered education.
“I am thrilled with ibl.ai — it’s a state-of-the-art, LLM-agnostic platform that gives our college full control over our AI teaching agents. We can customize every aspect of these mentors to align with our curriculum and pedagogical goals, empowering our faculty to innovate in ways we never thought possible.”
Dr. Juana Mendenhall
Morehouse College
100%
Faculty control
Any LLM
Model flexibility
Custom
Curriculum-aligned agents
Ethical AI
Mission-driven design
AI that serves the institution’s mission — not the other way around
Values-driven AI
Morehouse needed AI tools that reflect its commitment to ethical education and social responsibility — not a generic chatbot disconnected from institutional values.
Curriculum alignment
Every AI mentor had to be tuned to specific courses, learning objectives, and pedagogical approaches — faculty needed to shape the AI, not adapt to it.
Faculty empowerment
Instructors needed to create, customize, and manage their own AI mentors without requiring technical expertise — putting pedagogical decisions in educators’ hands.
LLM-agnostic. Fully customizable. Yours to shape.
Morehouse College uses ibl.ai’s mentorAI platform to build AI teaching agents tailored to its curriculum. The platform is LLM-agnostic — faculty can choose the best model for each use case without vendor lock-in.
Typical SaaS AI
- One-size-fits-all chatbot experience
- No alignment with institutional pedagogy
- Locked into a single LLM provider
- Faculty have no control over AI behavior
- Generic responses, no curriculum awareness
- Vendor decides the roadmap
ibl.ai at Morehouse
- Mentors customized per course and instructor
- Aligned with Morehouse's pedagogical mission
- Connect any LLM — swap as needs evolve
- Faculty create and manage their own agents
- Context-aware responses tied to course material
- Morehouse shapes the product direction
Born from genuine collaboration
The ibl.ai team worked alongside Morehouse faculty to fine-tune the system, support instructors at every step, and ensure the platform reflects the college’s commitment to elevating teaching and learning.
“The platform’s technical sophistication is matched only by the warmth and responsiveness of the ibl.ai team — they have been true partners, working closely with us to fine-tune the system and support our instructors at every step. It’s a solution born from genuine collaboration and a keen understanding of educational needs.”
— Dr. Juana Mendenhall, Morehouse College
Every mentor, tailored to the course
Faculty at Morehouse don’t use a generic AI assistant. They build mentors tuned to their specific courses, learning objectives, and teaching philosophy.
Course-Specific Agents
Each AI mentor is configured for a specific course — trained on the syllabus, readings, and learning objectives that matter for that class.
Faculty-Managed
Instructors control their mentors directly — adjusting prompts, adding materials, and shaping responses without needing engineering support.
Ethical Guardrails
Safety and moderation settings ensure AI mentors align with Morehouse's values — fostering critical thinking rather than shortcutting the learning process.
What mission-aligned AI looks like
For institutions where values and pedagogy matter as much as technology, the choice of AI platform is a statement about institutional identity.
Technology that reflects your mission
Morehouse's AI mentors embody the college's commitment to ethical, human-centered education. The platform doesn't impose a philosophy — it amplifies the one you already have.
Faculty as innovators, not passengers
When instructors can shape their own AI tools, they innovate in ways that no vendor-driven roadmap can anticipate. The best pedagogical ideas come from educators, not product managers.
LLM freedom means future-proof decisions
The AI model landscape changes monthly. An LLM-agnostic platform means Morehouse can adopt better, cheaper, or more specialized models as they emerge — without re-platforming.
A partnership, not a vendor relationship
ibl.ai works alongside Morehouse's team — not as a distant vendor shipping updates, but as collaborators who understand the institution's needs and respond to them directly.
Ready to bring mission-aligned AI to your institution?
Deploy AI teaching agents that reflect your values, align with your curriculum, and put faculty in control — with a team that works alongside yours.