Blog Posts

The hardest part of shipping a retrieval-augmented generation system is not getting the first version live. It is knowing when the next change quietly made it worse.

When people talk about prompt caching, they usually frame it as infrastructure optimization. Lower costs. Lower latency. Fewer repeated tokens. All true.

A lot of agent dashboards are visually impressive and operationally shallow.

Search is not disappearing. It is being translated.

If you are building serious AI products, the answer is almost never “use the biggest model for everything.”

A lot of the excitement around agents focuses on reasoning. I think a lot of the real progress is happening somewhere less glamorous: interface design.

RAG became the default answer to a lot of AI product questions because it solves a real problem: models do not know your data by default.

Synthetic data is one of the most useful accelerants in AI engineering, and one of the easiest ways to fool yourself.

I think AI browsers are more important than they look at first glance.

I like speed. Most startup people do.

Working at Evertune (NYC, 2025)

When Sora was announced, it moved AI video from concept to craft. It takes a few lines of text and produces fully coherent video . motion, camera work, lighting, physical realism included. What used t...

My fascination with artificial intelligence didn't begin in a traditional computer science lecture. it started in a classroom alive with sound. At Northwestern University, I enrolled in COMPSCI 352: M...