
Keeping Up With AI Is a Full-time Job
Plus: A coding skill for non-coders, using AI to address a cybersecurity incident, what happens after engineering
Today, Every engineering co-lead Andrey Galko explores what happens when AI gets better at the work people have built their lives around. First, though, head of enterprise AI adoption Natalia Quintero sits down with each member of our frontier team, the small crew whose job is to keep pace with AI advancements so the rest of us can focus on our jobs; head of operations Arielle Shipper shares a code-review skill for non-coders, and eight new Thesis Statements.
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‘The Every Podcast’: Why every company needs a frontier team
Every company right now faces the same dilemma: Do you try to keep up with the latest in AI or focus on getting your work done? You could ignore the frontier, but you risk getting suddenly disrupted by “some agent-native version of your product you didn’t see coming,” says Dan Shipper. Or, you could stay on top of the latest model capabilities by tinkering with every new tool but never build anything that lasts.
Every solves this dilemma with a frontier team: a small group whose job is to get their hands on each new model, figure out what it means for our products and workflows, and turn useful experiments into articles, products, and tools for the rest of the company, which stays focused on the roadmap. We’ve been running it for a couple of months, and Dan calls it “kind of transformative.”
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