How We Built a Framework That Turns LLM Output Into Interactive UIs

Introduction MDMA (Markdown Document with Mounted Applications) is an open-source TypeScript framework we built at Mobile Reality to solve a problem that kept showing up in our AI projects: models generate great text, but people need interactive components to actually do something with it. This article explains what problem we hit, how we designed the solution, and what the framework looks like under the hood. If you're building AI-powered tools and tired of writing custom frontends for every use case, this is for you. The Problem: AI Output That Nobody Can Act On Gartner predicts that 40% of enterprise applications will feature task-specific AI agents by the end of 2026, up from less than 5% in 2025. But there's a gap between what these agents produce and what people can do with the output. Here's what we kept seeing across our projects: an LLM generates a loan recommendation, a risk assessment, or a support triage. The output is accurate. Then someone copy-pastes it into a spreadshee