People ask me how I stay current in a field that moves this fast.

Here's the honest answer: structured daily habits.

Morning (before "real work"): one ML paper from arxiv or Hugging Face daily papers — usually just the abstract and figures, maybe the methods section if it's relevant. Two LeetCode problems with coffee. Quick scroll through GitHub trending for interesting repos.

Work day: deep focus on building and deploying. This is the part that actually matters.

Afternoon: experiment with one new tool or framework for 30-60 minutes. Write a few paragraphs of documentation or a blog post. Some open source contribution when I can.

Evening: something not AI. Poetry, music, a walk. Seriously — creativity matters, and burnout is the fastest way to become a mediocre engineer.

This routine has produced 250+ AI systems, 3 books, and 7 research papers over the years. Not because any single day is extraordinary, but because doing small things consistently adds up to something big.

The secret isn't intensity. It's showing up every day and doing a little more than yesterday. 1% better compounds into something unrecognizable over time.