It truly cannot reason well yet about geometry, visual aesthetics, placement, etc. The performance varies: it's quite good at matplotlib but terrible at any non-trivial LaTeX / TikZ layout or graphic. Why? Not a clear idea yet -- would love to think more about it.
I've tried many things now to try and give it eyes (via text), and this is unavoidably a place where things are ... rough ... right now.
I've had bad results with image screenshotting. More often than not, it has no idea what it is looking at -- won't even summarize the image correctly -- or will give me an incorrect take "Yes indeed we fixed the problem as you can tell by <this part of the UI> and <that part of the UI>" which is wrong.
I typically have to come in and make a bunch of fine-grained changes to get something visually appealing. I'm sure at some point we'll have a system which can go all the way, and I'd be excited to find approaches to this problem.
Note -- tasks which involve visual design which I've run into diminishing returns: * proper academic figures (had a good laugh at the GPT 5 announcement issues) * video game UI / assets * UI design for IDEs * Responsive web design for chat-based interfaces
All of these feel like "pelican" tasks -- they enter into a valley which can't be effectively communicated via textual feedback yet ...