Project
Project profile with current status, technical context and short description from the project database.
/projects/ai-asset-pipeline
A concept for a technical asset pipeline that organizes AI-generated images, variants and post-processing in a traceable way. It is most interesting for prototyping, moodboards and more consistent visual experiments.
Project story
Notes on the idea, the origin and what became visible while building it.
01
The goal is to make image experiments repeatable enough that useful results do not disappear in a folder full of unnamed variants.
02
The workflow became relevant while exploring assets for prototypes such as Alpendorf and trying to understand where AI image tools help and where they create noise.
03
Prompting was only one part of the problem. Naming, selection, versioning and post-processing mattered just as much.
04
Keep the workflow simple, document useful steps and separate promising assets from throwaway experiments more consistently.
The stack describes the most important tools, libraries or technical directions of the project.