A shared space for thinking out loud about AI in humanities teaching and research — not a guide, not a verdict, just colleagues comparing notes.
There is no shortage of AI advice. What is harder to find is something local — people who share students, classrooms, campus culture (and constraints and opportunities), and disciplinary habits. That is what this is trying to be. A place to build a community of practice.
Nothing here is authoritative. The sketches are rough, the experiments are ongoing, and plenty of the ideas have been tried only a handful of times. The status tags — rough, tested, refined — are meant to help you understand their context, but also the importance of ongoing experimentation.
Think of this less as a guidebook than as a set of working notes meant to support conversation, experimentation, and a shared local vocabulary.
ALSO: Browse the sketchbook by tag →
If you have tried something with AI and had an opinion about it—whether favorable or not—please share!
Whether you tried an exercise in class that was insightful, or helped speed up research work, or expanded what you can produce through AI’s coding skill, share it. If you have something in mind, draft and submit it, and of course get in touch if you want to discuss further or need help writing it up.
We’d love hear about your motivation, experience, and what you learned.