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Part 6 – I Built the Next Layer. It’s a Research Wiki That Grows Itself.
ByMichaelI thought the next layer would be more Obsidian configuration. It wasn’t. More graph view, more backlinks, more manual connection-making. That is what I used to do in Roam. I would spend real time threading notes together, following paths between ideas, maintaining a map of how everything connected. I did not do any of that….
Leading the Dialogue: My Keynote on AI’s Place in the Future of Career Services at MWACE
ByMichaelThank you, Midwest ACE! ๐ It was a privilege to present “AI and the Art of Career Services: A Balanced Approach” at the MWACE 2023 Annual Conference. Discussing AI’s role in career services highlighted the importance of blending technology with human insight. ๐ค๐ผ. Special thanks to President Katie Kennealy, the organizers, and the dynamic audience…
- AI | Doctorate | Education | HigherEd | Personal Development
Until You Know It Cold
ByMichaelThe first time I watched a large language model generate research output in forty seconds, I was not impressed by the quality. I was impressed by the volume, and by how quickly it could pivot when I changed the question. The results were plausible, competently organized, and largely superficial. What changed things was connecting to…
From Old School to AI: ChatGPT’s Vision Reads a Scanned Document from My Past Program!
ByMichaelSo this is blowing my mind. I had scanned this image from my Master’s work some time ago and stored it in Evernote. I then uploaded it directly to ChatGPT, without any introduction, and received the following response. Below is what I got
Quick AI productivity tip! Have you used ChatGPT and Mermaid together?
ByMichael๐ก ChatGPT can help you communicate your ideas more clearly and effectively, while Mermaid can help you visualize them. ๐ Mermaid is a simple yet powerful tool for creating diagrams and flowcharts in Markdown. Take a look at the video below. ๐ I highly recommend giving them both a try! #ChatGPT #Mermaid #ProductivityHacks 4
I buried the AI lede
ByMichaelWhen new data enters the pipeline, a full rerun used to mean hours. Pull everything, re-join everything, wait. That was the cost of keeping enrollment data current. The architecture I described last week does not work that way. New data drops into the stage where it belongs and everything downstream picks up from there. A…

