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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.

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.

Based on real AI delivery work

The lessons come from systems we have delivered for higher-education institutions, not from trend reports or secondhand analysis.

Practical lessons for your next project

Each issue closes with what we changed and what to ask your team or vendor before work begins.

About the newsletter

Lessons learned from AI projects
in higher education organizations

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

Przemek ‘Shemmy’ Majewski

CEO and Co-founder, DLabs.AI

Shemmy has spent ten years taking AI systems from idea to production, following earlier work with data at CERN. He also co-created the AI Radar methodology.

Przemek ‘Shemmy’ Majewski

What is inside?

Every two weeks, you will receive one focused story of around 1,000 words. Each issue follows the same five-part structure.

  1. The Setup

    What the university needed, what was built, and what the project was expected to achieve.

  2. What Actually Broke

    The decision, assumption, or process that prevented the project from working as planned.

  3. The Unhyped Part

    The lesson the project reveals once the marketing language is removed.

  4. What We Do Differently Now

    Concrete changes to our approach and questions to ask your own team or vendor.

  5. Your Turn

    One question about your experience that you can answer by replying.

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FAQ

No. DLabs.AI builds AI systems for universities, but subscribing will not add you to a sales sequence. You will receive the newsletter every two weeks and nothing else.

Yes. Every issue is based on our own delivery work. Institutions and individuals remain anonymous, and identifying details may be changed or omitted. The problems, decisions, and lessons remain intact.

No. Most issues focus on decisions, ownership, definitions, and adoption. Technical details are included only when they are necessary to understand the outcome.

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