Go Visualize

Marketing teams spend way too much time dragging pixels around design tools. Every social post, every ad, every flyer. Same grind, different day. And the moment you need something on-brand, you are digging through hex codes and font files again.

Go Visualize replaces that workflow. Type what you want. AI generates production-ready, editable vector designs with brand colors, typography, and layouts. Tweak if needed. Ship when ready.

The studio built a vector editor on top of Fabric.js. Multiple artboards in one workspace. Real-time manipulation of text layers, graphics, shapes, and grouped elements. The canvas handles simultaneous rendering across artboards without dropping frames.

A dual-agent AI system connects Gemini 3 Flash Preview and Claude. A user enters a prompt. Both agents fire in parallel. One handles layout, the other handles visual styling. The results merge into a single design.

Parallelization is the key. Both agents running simultaneously inside the Next.js backend means generation takes seconds, not minutes.

The most technically fun part. Drop in a company URL. The platform scrapes the public website and extracts the entire brand identity. Colour swatches, typography hierarchy, logo positioning. The whole visual language loads directly into the canvas editor. No manual setup, no brand kit uploads. Just a URL.

Authentication runs on Better Auth with session persistence. Three billing tiers: usage-based, monthly, annual. All wired through Stripe’s Clover API. The twist is a credit ledger system that lets users buy ad-hoc token packs for heavy AI generation, separate from their subscription. Self-serve, no support tickets needed.

As Technical Lead, Huzaifa defined the architecture: Prisma schema, component patterns, and repo structure. The core system was built from February to early April 2026, then handed off as a stable production codebase to the internal team. A complex multi-agent AI product shipped in under two months.