About
Research AI Guardrails Assistant
An intentionally lightweight, local-first guide that applies policy, ethics, and privacy guardrails without relying on LLMs.
This MVP helps researchers and staff decide if a workflow is allowed, needs caution, or should be stopped. It is rule-driven and ships with a transparent library of guardrails and examples inside the repository.
- Deterministic rules—no calls to external services.
- Session-based storage only; no analytics.
- Built with Next.js App Router, TypeScript, Tailwind, and shadcn-inspired components.
Disclaimer: This tool offers guidance, not legal advice. Confirm with your institution's policies and privacy/IRB officers.