AI + Learning
4 min read
Building an AI Study Helper for WGU
How a focused weekly build turns coursework into clearer explanations, practice prompts, and a useful public artifact.
The best study tools do not replace the work. They make the work easier to aim. That is the frame for this first build: a small AI study helper that turns dense computer science topics into explanations, practice questions, and review targets.
I am building it as part of a weekly loop: build something real, document the choices, share the result, then repeat with a slightly sharper instinct the next week.
The product shape
The initial version stays intentionally small. A user chooses a topic, asks for practice, answers questions, and gets explanations that point back to the concept they missed. The goal is not to make a giant learning platform. The goal is to make one reliable learning moment feel better.
- Keep the topic list focused on core computer science concepts.
- Generate practice questions with enough structure to be reviewable.
- Show explanations immediately while the answer is still fresh.
- Treat the app as a study companion, not a shortcut around studying.
Why this belongs on my own blog
Medium is useful for reach, but my own site should hold the canonical version of the work. That lets each build become a searchable page with stable metadata, internal links, and a URL I own.
This blog is the archive. Medium can be the syndication channel. That difference matters because the archive compounds.