On April 25, I played with gpt-image-2 again.
This time I did not continue making resume posters, nor did I seriously test any complex infographic. I only did a very private little thing: I generated a set of posters for several F1 drivers I like.
And once again, it hit something inside me.
Here is what happened.
On 2026-04-21, OpenAI released Introducing ChatGPT Images 2.0.
At first, I did not take it too seriously.
It was not that I was not looking forward to it. It is just that over the past two years, AI image generation has produced so many astonishing moments that everyone has become a little numb. You give it a sentence, and it gives you a beautiful image. The lighting is good, the atmosphere is good, and the details are quite full. And then?
And then, often, there is no "then."
Especially when it comes to real work, problems appear. You want it to make a usable poster, and it starts inventing text. You want it to organize a pile of information, and it turns the layout into a colorful PPT cover. You want it to balance a person, resume information, technical direction, and visual style, and it often tries very hard, then exposes itself very clearly.
So in the first two days after release, I browsed what other people had made with ChatGPT Images 2.0. It was indeed impressive, but I was still only watching from across the screen.
Until today, when I tried it myself.
I gave it my own information and asked it to make a personal resume poster.
When the image appeared, I was genuinely stunned for a few seconds.
Here is what happened.
On April 7, I spent some time reading LangChain's article, The Anatomy of an Agent Harness.
At first, I was drawn in by the word "harness."
It has been appearing more and more often in the Agent world recently, but it is also a slightly awkward word. If you translate it directly as "tack" or "restraint gear," it sounds strange. If you translate it as "framework," it feels too light, as if it is only a few layers of code wrapping. "Exoskeleton" may be a bit closer, but it is still not exact.
In any case, it points to this thing:
the whole system outside the model that lets an Agent actually do work.