Write
Working Overtime
The lived experience of AI at work: ambition, ease, voice, compulsion, and agency.
Katie Parrott / Every / October 2024 - now
Working Overtime began as my dispatch from inside a changing working life. It led into a larger role at Every: testing new models, writing practical guides, building tools, and helping readers figure out how to use AI deeply without handing over their judgment.
The through-line
I put the newest capabilities into an actual writer's working life, notice the relief and the failure modes, and turn the result into something readers can use. Sometimes that is an essay. Sometimes it is a guide, a benchmark, an app, or an argument with an AI pope.
Write
The lived experience of AI at work: ambition, ease, voice, compulsion, and agency.
Test & teach
What the models can do now, and the workflows that make those capabilities usable.
Build
Tastemaker, agents, and interactive projects that make the argument concrete.
Recent work across Every / Spring 2026
In one month I wrote about entry-level careers and agent-managed workweeks, helped readers set up Codex for knowledge work, and tested a new frontier model. Just before that, I showed my full writing-with-AI process, including the parts I still refuse to delegate.
My Every arc / selected stops
Working Overtime now runs to 25 essays. Along the way, writing about AI opened into building editorial systems, testing models, making products, and translating Every's frontier work into something readers can take into their own jobs.
Working Overtime started with career panic and a chat window. The early question was intimate and enormous at once: what happens to a knowledge worker when intelligence gets cheap?
I was reporting on AI's effect on jobs while using it to cross the boundary of my own. A literature major became the person building workflow tools for Every in public.
The reporting and the making converged. I encoded Every's standards, trained writing partners on my voice, ran models in parallel, and wrote about the support that made work possible.
Building more with AI gave me better evidence about its cost. I wrote through compulsion, AI writing, and autopilot: the moment when a useful tool gets fluent enough to hide your own absence.
The latest work reaches beyond the column: agent-managed workweeks, career advice for an automated era, Codex workflows, model tests, and cultural arguments about automation. The recurring question is still which decisions remain ours.
Where the work lives now
The first-person column remains home base. Around it is the practical layer of my work: guides people can follow, tests of the models they might use, and products or interactive projects that make an idea tangible.
Use agents
Set up an agent workspace for planning, research, writing, and reporting.
Read the guide →Keep taste
A writing tool I built to make your preferences explicit before a model edits them away.
Explore Tastemaker →Test models
Every's hands-on tests of whether a new model improves the work people do.
Read Vibe Check →See the stakes
I build the AI the Pope is warning about. My boss makes the optimistic case. I put all three of us in the argument.
Start the dialogue →Katie at Every
Working Overtime is where I narrate the change from inside it. The rest of my work at Every is where I test, build, and hand over what I learn.