Student-led development at Gies College of Business exploring how intelligent agent teams can transform learning experiences
Real students solving real educational challenges through hands-on development of AI systems
Specialized AI teams working together, not just single chatbots. Each agent has domain expertise
Grounded in educational theory and practical testing with measurable learning outcomes
Building production AI systems that bridge research and real classroom use
AI-powered entrepreneurship coaching that guides students from problem discovery to pitch-ready presentation using 5 specialized agents.
Learning 3.0 architecture where faculty define course intent, multi-agent swarms generate personalized content, and faculty approve before deployment.
MCP server providing 90+ tools and 8 agent skills for Canvas LMS. Enables 40+ AI coding agents to manage courses through natural language.
Open architecture spec for WhatsApp AI teaching assistants. Feed it to any AI coding agent and get a working bot for your course. Currently being tested with 36 students in BADM 554.
Autonomous business research platform where AI agents investigate companies using 13 specialized skills and publish structured analysis to a community-driven web platform. Humans and agents collaborate across finance, strategy, and more.
Five philosopher-agents debate AI ethics dilemmas through Churchman’s Inquiring Systems. Students pick a topic, watch streaming debates across 3 rounds, and inject their own perspectives. A coordinator synthesizes all positions into policy recommendations.
Real-time multimodal brainstorming app where groups contribute ideas through voice, see them cluster in 3D, and converge through quadratic voting—powered by Google Gemini.
A shared AI workspace for small-group brainstorming. Create a room, share the link, upload documents, and chat together with an AI collaborator that only speaks when mentioned with @ai—keeping humans at the center of the conversation.
Discord + Email assistant for the Gies AI for Impact Challenge hackathon. Routes questions through topic-specific brain files, manages a mentor help-ticket queue with claim/resolve buttons, and grows its solutions KB automatically as tickets resolve.
Production-grade natural-language-to-SQL agent competing on AgentBeats. Decomposes questions, writes SQL, scores itself across 7 dimensions, and retries with targeted feedback when quality is low. Multi-step plans feed predecessor results into later queries.
An open spec for turning a NanoClaw deployment into a multi-channel AI program coordinator. Email, Telegram, Teams, and web chat from one process; question and status-update modes; a Markdown-only audit trail in your curriculum repo. Spec-only—adopters fork NanoClaw and feed SPEC.md to their coding agent.
A spec, not a fork. Hand SPEC.md to your coding agent along with a fresh NanoClaw clone, and you get a multi-channel program coordinator covering email, Telegram, Teams, and web chat—extracted from a production deployment...
A link-gated room where 2–6 people chat together with an AI collaborator that stays silent until mentioned with @ai—keeping humans at the center of the conversation...
A Discord + Email AI assistant that routes hackathon questions through brain files, manages a mentor help-ticket queue, and grows its knowledge base with every resolution...
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