ReStruct
Project Gallery
Overview
ReStruct explores a more usable interface for structured LLM work: capture input, enforce output shape, and transform messy responses into something teams can actually reuse.
Key features include:
- Clean sign-in flow and hosted product shell for structured AI workflows
- Schema-aware positioning around transforming LLM output into usable content
- React-based front end tuned for speed, clarity, and low-friction experimentation
- Space for future knowledge-base and structured content workflows
- Compact interface design that keeps focus on the transformation task itself
The project is intentionally narrow and product-led, centered on making structured AI output easier to adopt in real teams.
Technologies Used
- React
- TypeScript
- Vite
- Cloudflare
- LLM Tooling
The live preview is currently the hosted sign-in surface rather than a fully open demo workspace.
