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We’ve automated everything we can here at Every. Agents write our code, draft our emails, handle customer support, and help compile the newsletter. We alpha-test new models before they launch. We use AI in every way imaginable to build and ship everything we touch. We go as far and as fast as possible.
Yet there’s more human work to do than ever.
Today we’re publishing “After Automation.” It’s something I’ve been working through for a while. The popular narrative is that AI will eliminate human work. But I think technological progress creates more for people to do, not less. And that’s a good thing.
This report traces what happens when cheap competence floods in and creates sameness, and how no matter how good AI gets at executing complex tasks, there will always be a new frame for humans to hand it. I’ve included examples from inside Every: how we embed our agents, what benchmarks we use, prompt engineering we play with, and what the work looks like when humans stay structurally ahead of the models.
Of course, this report is agent-native. Drop it into Codex or Claude and argue with it to your heart’s content.
Dan Shipper is the cofounder and CEO of Every, where he writes the Chain of Thought column and hosts the podcast AI & I. You can follow him on X at @danshipper and on LinkedIn.
