DivasAI
Generative AI Platform for Designers
01 / The Challenge & Problem
Designers spend hours writing prompts and waiting for image generations without contextual file version control. DivasAI needed to create a collaborative interface to test, cache, and refine AI image outputs in real-time.
02 / Discovery & Research
We discovered that prompt engineering workflows are highly iterative. Designers needed to view history trees like Git. Additionally, API fees were high due to repeated image generation of identical prompt contexts, making semantic caching essential.
03 / Construction & Development
We constructed the user interface with Next.js and Framer Motion, designing an interactive visual canvas that tracks prompt revisions. We implemented a vector caching algorithm that reduced external OpenAI API expenses by 42%.
SYSTEM COMPONENTS
RESULTS RECORDED
42% savings on API generation expenses, 80% reduction in average wait times for cached images, and loaded with a 98/100 Google Lighthouse speed index.
Visual Blueprint & Metrics
DivasAI Case File
SYSTEM SCHEMATIC SUMMARY