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AI Generative Design Studio — Vibranium Bytes
Creative Tech · AI

AI Generative Design Studio

Client
Creative Agency
Timeline
8 weeks
Stack
GPT-4o · DALL-E 3 · React · Node.js · Redis · S3
Result

500+ concepts per campaign, 3 weeks → 2 hours

The challenge

What we were up against

A creative agency needed to generate 500+ design concepts per campaign for client presentations. Designers were spending 3 weeks on concepts that clients would often reject in the first round. They needed an AI system that could generate on-brand designs at scale.

Solution

What we built

We built an AI-powered design generation platform with a multi-model pipeline (GPT-4o for concept briefs, DALL-E 3 for generation), a brand constraint engine that ensures outputs match client brand guidelines, and an iterative refinement workflow where designers can guide the AI.

Approach

How we did it

Week 1-2: Built the brand constraint engine and prompt template system.
Week 3-4: Integrated DALL-E 3 with the brand constraints and batch generation pipeline.
Week 5-6: Created the refinement workflow with variation controls and export system.
Week 7-8: User testing with designers, quality tuning and deployment.

Outcome

The results

The platform generates 500+ concepts per campaign in 2 hours instead of 3 weeks. Designers use it as a creative accelerator — generating starting points that they refine. Client approval rate increased from 30% to 75% on first presentations.

Architecture

System architecture

Documents ingested, embedded, stored in a vector database, retrieved with precision and validated before reaching the user.

Ingest PDF · API · DB Embed Vectorize Vector DB Store & Index Retrieve Semantic Search LLM Generate Validate Grounding Check Respond Cited Answer 01 02 03 04 05 06 07 Core AI Pipeline Infrastructure
Stack

Technology used

GPT-4o DALL-E 3 React Node.js Redis S3
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