Type any engineering topic. It comes out in your style.
Every image uses the same fixed setup: one style card and one reference image. You only type the topic, in Russian, German or English. Then compare the new image with the others.
All images, same style
Cards marked «typed» or «new» were made with the box above, from the topic shown. The «example» cards also carry a simulation result. Click any card to edit it below.
Edit the selected image
This page is the pipeline in small. In your setup it runs with your style, your logo, your templates and your formats, on your own account.
I asked the AI to change only the headline.
This is the request you would type into ChatGPT: «Change only the headline to ‘Where the plate fails first: at the hole edge’. Keep everything else exactly as it is.» I sent it twice to GPT Image 2.5, OpenAI’s current image model, and compared each result with the original, pixel by pixel.
The map shows what the eye misses. Flat color areas survive. The parts that carry information do not: mesh lines, contour edges, the legend numbers. The model does not edit a file. It draws a new picture that looks like the old one.
Three rounds of edits, zoomed in
This is the problem you describe: every revision costs a little detail, and you only see it when you zoom in. On OpenAI’s own developer forum, staff confirm there is no pixel-exact edit mode yet. That is fine for a background. It is not fine for a result your engineers approved.
Four layers. The AI touches only one of them.
- 1
Background.AI
Made by the pipeline from your topic, a fixed style card and reference images. This is where the AI is useful. - 2
Your simulation or technical image.original file
Placed as it is. It never goes through the AI, so nothing can be redrawn. It also never leaves your company. - 3
Headline, logo, caption.template
Real text and a real logo file. Locked fonts and colors, editable words. - 4
Format.template
One template per channel. The same three layers fill all five sizes.
What the pipeline does, and what stays in ChatGPT
| Task | Where it lives |
|---|---|
| Background illustrations, cover motifs | Pipeline: your topic plus a fixed style card and reference images. Same look every time, nobody writes image prompts. |
| Simulation results, CAD renders, photos | Pipeline: the original file goes into a fixed frame. It is never sent to the AI. |
| Headlines, logo, captions, colors | Pipeline template: real text and your logo file. Fonts and colors are fixed, the words stay editable. |
| Formats for each channel | Pipeline: one click exports all formats from the same layers. |
| Infographics with numbers | Pipeline template with typed numbers. Image models invent numbers, so numbers never come from the AI. |
| Article text, captions, translations RU / DE / EN, ideas | ChatGPT, with a short brand voice guide. |
Two weeks, then your team runs it alone.
Style card and reference setweek 1
One page: colors, fonts, motifs, what never appears. Three reference images that fix the look.
Your pipelineweek 1
The tool from this page with your style card, references, logo, fonts and colors. It runs on your own account with your own image service key.
Your templates and formatsweek 1 to 2
Covers, social posts, infographics, website headers. A fixed frame for simulation images.
Test run on your real materialweek 2
Ten of your real topics and images go through the pipeline. I fix what does not fit.
Training and handoverweek 2
Training live and recorded, a two-page guide, the code and all accounts in your name, then two weeks of questions by message. Running cost with the image service used here: 3 to 5 US cents per image.
What I need from you
- Logo files, brand colors, fonts
- 5 to 10 visuals you like, yours or others
- 3 to 5 real simulation images
- The channels you post on