The AI Technical Team has been bridging the gap between AI potential and practical applications for the App State community. They have developed a collection of NotebookLM blueprints (custom-built notebook environments) tailored for various tasks and roles.
These notebooks span a range of campus needs, offering comprehensive solutions for instructional design, institutional knowledge management and student success and productivity.
Key features
The notebooks work exclusively with the documents you provide (like department files, transcripts or course materials) to answer specific questions, generate summaries and extract information.
Instantly turn dense text, meeting transcripts or long course materials into actionable formats with clear structures and simplified explanations, including:
- Study aids and guides
- Organized study and work schedules created from your materials and exported to Google Calendar
- Action items, task lists and parsed policy highlights with direct footnotes to the original sources
Analyze multiple sources simultaneously, including various class readings or different sections of a text, to find connections, compare concepts and generate cohesive, comprehensive answers from all your sources.
Access and resources
Dive in by requesting access to our functional demo notebooks and explore these assistants firsthand:
Notebooks
Operational (Department Resource Assistants)
Teaching and Learning (Teaching Assistants)
Build your own: Learn the basics of creating and customizing a personal scheduling assistant using our knowledge base article NotebookLM: Scheduling Assistant.
AI Technical Team
This project reflects the ongoing work of the AI Technical Team, a development and projects working group of the AI Enablement Team, to advance AI literacy and innovation at App State. This tool was developed under the leadership of Michelle Melton (business & technical applications specialist, ITS–Academic Technologies), in collaboration with
- Lina Brown (application programmer-developer, Academic Technologies)
- Michael Friese (AI and data governance business analyst, ITS–project management)
- Carson Patterson (AI intern, Graduate, B.S.B.A. in Computer Information Systems and Current M.S. Student in Applied Data Analytics)
- Jeremy Wallace (business and technology application specialist, Enterprise Applications)
Questions
For questions regarding this project or the AI Technical Team’s ongoing work, contact Michelle Melton.
Learn more
About the AI Enablement Team
The AI Enablement Team was established by ITS in collaboration with our university partners to promote AI literacy, enhance teaching, learning and administrative efficiency, support research and foster innovation at App State.
Books in a library for NotebookLM.
