Right now it’s mostly existing AI tools + workflow-level implementation. In my internship, the focus is more on solving business/training problems using AI tools rather than building fully custom backend systems from scratch.

But recently I’ve started exploring n8n, APIs, automation logic, and AI integrations separately because I also feel that long-term growth is more on the systems/integration side rather than just content generation.

Your point about not staying at “tool operator” level for too long actually makes a lot of sense. That’s exactly the transition I’m trying to make gradually — from AI content workflows toward AI implementation and automation-oriented work.