Articles & notes

I didn't think I'd hear back from Runway. Then this morning, I got accepted into their Builders program. Reflecting on why this mission is personal, and how we can ensure kids don't get left behind in the AI era.

You can outsource thinking and execution to AI. But you cannot outsource understanding. Real learning and proactive groundwork are first-class survival skills in the AI era.

Everyone has access to the same AI tools now. But the differentiator is no longer who can generate the most content—it is who can make people feel something and use AI without losing their humanity.

People are finding things through ChatGPT and Perplexity instead of Google. I built a pipeline that handles the optimization for that automatically — here's how it works.

At Zeta Global, my team gave me room to figure things out. I tried to do the same for the people who came after me — from responsive templates to training engineers across time zones.

I had 45 rule files telling my AI how to behave. The output was getting worse, not better. Then I measured — 170KB of context loaded per session. Here's what happened when I deleted half of them.

When I build with one AI for too long, the output starts drifting — confident but incomplete. A second model catches what the first one misses. Here's the two-pass process I use now.

I added Husky because of an anti-pattern. CI because of an anti-pattern. PR requirements because of an anti-pattern. None of it came from reading best practices. It came from breaking things and writing it down.