Katie Parrott is a staff writer and AI editorial lead at Every. She writes Working Overtime, a column about how technology reshapes work, and builds AI-powered systems for the Every editorial team.
It one-shotted a problem other models missed—and brings agentic, parallel work to non-coding tasks
OpenAI nailed the interface. But it's built for hardcore engineering.
Cursor team members share their thoughts on building software with AI and why model selection beats prompting tricks
The asynchronous, agentic workflow developers love is finally accessible to everyone—but the polish isn't there yet
‘Does this mean I'm good at my job?’
Lessons from the team that built Codex and launched a number-one app with it
OpenAI's latest model update excels at instruction-following and extended tasks, but don't expect it to surprise you
Five patterns from our Opus 4.5 Claude Code Camp you can apply today
But it’s not perfect—it failed our editing test
What the del Toro film adaptation has to say about creation and responsibility
How AI tools provided the support I needed to end years of work turmoil
Everything we learned at Droid Camp about switching between GPT and Claude while staying in flow
The feature is powerful for individuals and tricky for teams—but it does lighten the cognitive load
Five tests across blind comparisons, editorial standards, and deadlines—here's what changed our setup
It feels less like learning something new than a browser that has caught up to how we already want to work with AI
Anthropic’s coding agent promises work from anywhere. After a weekend of testing, it still feels very beta.
Why Every's non-technical team members reach for the terminal instead of the chat window
How to build a personalized writing partner that knows your patterns and enforces your standards
Forget maker versus manager—we’re all model managers now
Voice-first AI removed the invisible friction between my brain and the page
Demos and tips from our second expert workshop, on subagents
To build Every's AI editor, I had to make our taste legible—starting with my own
How I successfully failed at my first AI operations project
Four model launches, four ideas about where AI goes next