cbrl is an AI-native studio of one. I design, engineer and polish digital products with AI in the loop at every step — the pace of a team, the focus of a single hand.
Care isn't the enemy of speed. When the fundamentals are right — the types, the data model, the state machines — the result arrives fast and it lasts. And nothing ships without being exercised: code, data, real-world scenarios. Rigor is what lets us move without tripping.
The studio is designed around it — prototyping, copy, variations, review, tooling. AI multiplies the thought at every step; the human decides what ships. Not a shortcut to mediocrity — the only honest way for one mind to hold the whole product without giving up on the detail.
cbrl is solo by design. The person designing is the person engineering is the person polishing — no handoffs, no diluted intention, no distance between the idea and the thing that ships.
Privacy and data protection aren't retrofits. They're project decisions from the first line — minimal attack surface, credentials well-kept, user data respected. LGPD and security as baseline, not as a checkbox ticked after deploy.
Whoever hires sees what's being built, why, and what comes next. Shared roadmap, documented decisions, zero surprises at sprint's end. Trust is built by showing the middle of the road, not just the finish line.
An AI-native platform for candidates studying for Brazilian civil service exams. Gabar turns preparation from raw effort into method — a live radar of editais, a personal match score, an adaptive study plan, and a bank of AI-corrected practice questions.
A well-defined problem is already half the work. Tell me what you are building.