The AI That Actually Gets You

Everyone’s had a generic AI rec that completely missed. Here’s the difference between an algorithm that averages and one that actually knows you.

The problem with most recommendation AI is that it’s built on collaborative filtering: find people like you, show you what they liked. But “people like you” is a rough approximation built on demographic data and browsing history. It’s not taste. It’s a proxy for taste.

What “actually knows you” looks like

It knows that you love ramen but only the tonkotsu, not the shoyu. It knows you’ll try something new on a Friday but want comfort food on a Wednesday. It knows the difference between what you eat alone and what you order when you’re with your parents. It learns over time, not just from what you rate, but from how you use it.

That’s the system we’re building. Not “people like you liked this.” You specifically, based on everything we’ve learned about what you actually like. There’s a difference. It matters.