PRODUCT · PROMERE.APP
Promere: a prompt intelligence platform.
The intelligence layer under AI image prompts. Search, reverse-engineer, organize, and connect prompts across models, built and operated by the Lab.
The problem
Creators rebuild the same prompts every project. Prompt knowledge is fragmented across tools, with no way to search by what you actually want to see or to reuse what already worked.
The build
A searchable library of more than 6,800 classified images with sub-second semantic search. Any image can be reverse-engineered into an 8-element prompt recipe, and prompts reformat across 10 different models.
How it works
Images are embedded and indexed for meaning rather than keywords, so a search returns results by intent. The reverse-engineering pipeline decomposes a reference image into structured prompt elements you can edit and port between models.
The stack
A full-stack AI product: semantic search, a vector database, and an LLM pipeline. pgvector was chosen over a dedicated vector database for cost and operational simplicity, keeping the whole build at $120 in API credits.
Want the full build story?
The complete write-up covers the architecture, what broke, and what came next.