Writing that sounds like them, not like a robot.
The client needed to produce 50+ pieces of marketing content per week across product pages, email, and social. Generic AI tools gave them bland output that sounded nothing like their brand. A full content team wasn't an option. They needed something smarter - a system trained on their voice.
We built a full-stack AI platform that ingests existing content as a brand voice model, then generates aligned copy across formats. A structured prompt engine feeds GPT-4 with brand guidelines, tone examples, and target audience context. Editors review and approve inside a clean Next.js interface with history, versioning, and one-click export.
Content output
same headcount
Editor approval rate
on first generation
Saved per writer
daily
Content production cost reduction
Voice profiling
We analysed 200+ existing content pieces to extract tone, vocabulary patterns, and structural preferences, encoding them into reusable prompt templates.
Platform design
A minimal, editor-focused UI: generate, review, tweak, export. No noise. Fast keyboard navigation. Built for people who write for a living.
Review & export pipeline
Editors review generated content inside a clean interface with version history and one-click export. Every output is traceable, auditable, and ready for publishing without leaving the platform.
We take on a handful of projects each quarter.
Let's see if we're the right fit.
we read every message. yes, actually.
