Structured Intent Over Raw Code: A Safer Approach to Generative UI

Modern applications increasingly use AI models to generate live user interfaces at runtime, but directly injecting AI-produced HTML or JavaScript into active sessions poses serious security and accessibility risks. Unlike AI-assisted code generation in development — where engineers review and test output before deployment — runtime AI generation bypasses normal quality assurance and authorization checks. A safer alternative involves having the AI return structured JSON that maps to pre-validated UI components from a controlled registry, rather than generating executable code from scratch. This approach keeps the AI acting as a coordinator selecting from approved building blocks, ensuring every rendered element has been tested and complies with security policies. Establishing a central component registry as a gatekeeper prevents unauthorized or nonexistent components from ever reaching the user interface.