I Built a Way to Keep My Degree Within Reach
I did not want what I learned to disappear into old folders. I wanted it available whenever a new role, company, or problem gave me something new to ask.
I studied psychology and organizational leadership, but I am entering professional areas that use different language and come with their own bodies of knowledge. I wanted a way to learn those areas without treating everything I already knew as either universally transferable or suddenly irrelevant.
The useful question is not whether my education transfers. It is what a specific idea can help me understand in a new setting, where that connection ends, and what I still need to learn before I can use it responsibly.
The problem was access. My education lived across papers, course materials, notes, readings, and case analyses. I could remember the shape of an idea without remembering its name, its source, or whether I understood it as well as I thought I did. Finding it again meant searching through years of old folders.
So I built the Degree Lab, a local AI-assisted knowledge system that lets me bring a new role, company, industry, or problem into conversation with my own education. It retrieves relevant material from my files, traces the connection back to its source, and marks where the material does not support the conclusion I might want to make.
This is the use of AI in learning that interests me most. It is not answering on my behalf or replacing the work of knowing something. It makes what I have already studied available at the moment when I have a new reason to engage with it.
When I encounter a new concept, I can ask how it relates to something I already know, return to the original material, test whether the connection holds, and see what remains outside my foundation. Instead of leaving the degree behind, I have a way to keep working with it.