Developer builds reliability layer to validate LLM outputs before production use

A developer building AI applications observed that LLM responses could appear valid while still containing critical errors, such as missing fields in otherwise well-formed JSON. The core problem identified is that subtly incorrect outputs are more dangerous than obvious failures because they can slip through automated checks undetected. To address this, the developer is creating a tool called Linden, designed to act as a reliability layer between LLM outputs and production systems. Linden evaluates every AI response before the application acts on it, routing outputs based on whether they meet defined safety criteria. The project aims not to make AI perfect, but to make AI-powered systems safer and more trustworthy to build and deploy.