Vantis AI Builder
The AI application builder I engineered for Vantis, turning product briefs into working app surfaces with project workspaces and live previews. My role was limited to the technology; I am not part of the Vantis.sh crypto project.
Highlights
- Engineered the product technology behind Vantis AI Builder.
- Built a prompt-to-app workflow for creating and refining application interfaces, data flows, and protected routes.
- Connected project sessions, workspace files, environment configuration, and live previews in one builder experience.
Context
Vantis AI Builder turns a product brief into a working application surface. Users can describe an idea, generate responsive routes and components, shape data and access flows, and inspect the result through a live preview loop.
The product needed to make application generation feel like an ongoing workspace rather than a one-shot prompt: projects remain available, build sessions stay traceable, and users can return to refine an existing result.
What I focused on
I engineered the technology behind the builder, connecting prompt-driven generation with project state, workspace files, session history, environment configuration, data paths, and running previews.
The central engineering challenge was keeping a multi-step generation process understandable and usable while the system moved from an initial brief to a working application that could be inspected and refined.
Role and affiliation
My involvement was limited to building the product technology. I am not a member of, partner in, or otherwise affiliated with the Vantis.sh cryptocurrency project, its token, or its financial activities.
Outcome
The result is a live AI application-building workspace where users can move from a product idea to generated application surfaces and continue refining them through project history and live previews.