Two Worlds, One Feedback Loop
Studying AI gives me frameworks. Shipping products gives me constraints. The loop between both gives me better decisions.
What Changes in Practice
When I learn a concept in class, I quickly pressure-test it in a product context:
- Is this robust enough for users?
- Can this be debugged by a team?
- What are failure modes in production?
Takeaway
Learning becomes practical only when it survives contact with real users.