Course contents
Concept

Images at Work

GPT Image 2 for real image jobs: targeted edits, queued changes mid-generation, and pinned comments.

Work's image engine (GPT Image 2) is built for jobs, not just generation: hand it an existing image and change only what you name. "Change the text to the new title, swap the logo for this one — only change those things, give me three variations" preserves everything else. That only-change-X discipline is the whole trick for thumbnails, banners, product shots, and social graphics.

Two workflow features beat re-prompting. While a generation runs, you can queue further edits — hit edit and add "brown shirt on the left, reduce the glow" without waiting. And on a finished image, pinned comments give spatial feedback: click the exact spot, leave a note there ("darken this corner", "whiten teeth"), and the revision applies feedback where you pinned it — the design-review workflow, minus the designer round-trip.

Images compose with everything else: generate the variations, then "email all four to Emily for a vote" via the Gmail plugin, or drop the winner straight into the deck the agent built an hour ago.

Check your understanding
Q1. You need one element of an image changed without touching the rest. What works best?
· Score 100% on the quiz.