One real project in every issue
Each edition breaks down a university AI project, from the original goal to the decisions that shaped the outcome.
Most AI writing focuses on what is possible. We look at what happens after launch: what broke in real university AI projects, why it broke, and what we changed afterward. Use those lessons before your next project begins.
Each edition breaks down a university AI project, from the original goal to the decisions that shaped the outcome.
The lessons come from systems we have delivered for higher-education institutions, not from trend reports or secondhand analysis.
Each issue closes with what we changed and what to ask your team or vendor before work begins.
About the newsletter
The newsletter
Higher Ed AI, Unhyped explores real AI projects at universities. It covers the decisions, setbacks, and lessons that rarely appear in launch announcements.
Who it is for
Written for IT and data leaders, academic leaders, and anyone responsible for planning, evaluating, or approving AI initiatives in higher education.
Beyond higher education
The setting is universities, but the lessons about ownership, adoption, and vendor selection apply to AI projects in other organizations too.
About the author
Every two weeks, you will receive one focused story of around 1,000 words. Each issue follows the same five-part structure.
What the university needed, what was built, and what the project was expected to achieve.
The decision, assumption, or process that prevented the project from working as planned.
The lesson the project reveals once the marketing language is removed.
Concrete changes to our approach and questions to ask your own team or vendor.
One question about your experience that you can answer by replying.
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