Agents won't arrive as robot coworkers. They'll arrive as a thousand small handoffs, and the people who learn to delegate, inspect and price that work will set the terms for everyone else.
by Dev Raman
An old classroom trick for modern models: before any big task, ask the AI to restate the job, flag its risky assumptions and ask you three questions.
by Jonah Kim
Agents are optimistic narrators. Today's prompt makes them account for what they did, what they skipped and what they assumed, in five short sections you can read in forty seconds.
by Jonah Kim
Seven days, 412 emails and one near-disaster with a dentist. What happened when our editor-in-chief let an email agent sort, draft and send on her behalf.
by Maya Okafor
Draft-chasing, tagging, the newsletter, the calendar: we handed a magazine's invisible second job to an agent, with four permission levels and one office whiteboard. Here's what it saved and where it broke.
by Dev Raman
Text-to-image is only one kind. From sketch-to-image to vector generators, here's which categories deserve a place in a real illustration workflow and which are toys.
by Priya Sethi
Imagine it's six months from now and the plan has flopped. This prompt turns that grim fantasy into ranked risks, early warning signs and one cheap test to run this week.
by Jonah Kim
You don't need a brand name; you need the right kind of tool. We built the same three agents with each of the five main kinds of agent builder and scored what actually mattered.
by Dev Raman
Product reviews go stale in a month. The kind of meeting note-taker you choose decides most of what you'll love and hate about it. We compared all four.
by Maya Okafor
Every new chat starts with a brilliant stranger. A short, well-kept document about who you are and how you work fixes that across every assistant you use. Here's how to write one.
by Lena Hartmann
Public leaderboards measure someone else's job. This step-by-step guide helps you build a small, honest test that tells you which model is good at yours.
by Lena Hartmann