How We Make Our Picks

Imagine someone who had read everything printed about your city for years, interviewed the thousands of people who know it best, and remembered who turned out to be right. That person would give you better answers than any search engine. That is who we are trying to be.

Every category on The Cut List gets exactly three picks. They come from two places: local experts we interview, and a research desk that reads years of what each city has said about local people making great things.

Expert picks

We sit down with people who know a category from the inside: chefs, bartenders, trainers, builders, longtime local voices. We interview them, ask where they actually go, and share their picks.

Research picks

Google was built on a simple idea called PageRank. Every link to a web page was a vote, and votes from trusted pages counted for more. That is how search got good.

We do a similar thing with a different kind of vote. Ours are mentions: a critic recommending a restaurant, a chef naming the bakery they buy from, a local magazine praising a shop, a readers' poll crowning a winner. Most of those votes live offline, in print issues, newsletters, archived polls, our interviews, and the spoken reviews in local creators' videos. Search engines never indexed most of it, and it's largely invisible to modern AI.

Our research desk reads and tracks all of it, then asks one question of every mention:

Who is saying it, and how much should we trust them? A critic with a long record counts for more than a single post, and sponsored or hosted content counts for next to nothing.

AI workflows help us read at this scale. Our local human editors make every final call.