AI Never Gets Tired and Always Knows What It Wants

Hello, and happy Sunday! This week we launched Every Studio, our AI product incubator. If you’d like to be among the first to try our earliest prototypes, sign up to be an Early Adopter. Read on for more details, along with everything else we published this week and our take on the latest tech news.—Kate Lee

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Knowledge base

"How to Figure Out What People Want" by Dan Shipper/Chain of Thought: What is the key to building products people actually use? Forget about discovering hidden needs. Instead, learn to be the kind of person who can generate wants in others. Dan Shipper argues that needs arise in context, not as pre-existing facts. Read this if you want to understand why "make something people want" is terrible advice—and what to do instead.

🔏 "How to Use AI to Find Profitable Niches on the Internet" by Rhea Purohit/Chain of Thought: Ideas are abundant, but profitable ideas are rare. Rhea Purohit distills wisdom from internet entrepreneurs Steph Smith and Ben Tossell on using AI to find, validate, and execute business ideas online. From nurturing unconventional thoughts to creating your own AI toolkit, this guide offers practical tips for aspiring digital entrepreneurs. Read this if you're ready to turn your internet browsing into a profitable venture.

🔏 "AI Never Gets Tired of You Asking" by Michael Taylor/Also True for Humans: Want better results from AI? Just ask again...and again. Prompt engineer Michael Taylor shares a powerful trick: self-consistency sampling. By generating multiple AI responses to the same prompt, you can overcome inconsistencies and errors. Read this if you want to learn how to make AI work harder for you without complaining (unlike your human employees).

"Introducing Every Studio" by Dan Shipper and Brandon Gell: Every is launching a product incubation arm to develop new software incubation. We’re bringing on five new team members who will build prototypes in days, not months. Read this if you want to see how a media company can leverage its audience to create the next big tech product—and write about it along the way.

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Fine tuning