TypeUI - design layer for agentic tools

TypeUI looks interesting — the idea of a structured design layer on top of raw LLM calls is exactly what the agentic space needs right now. Most tools still treat AI interaction as a black box of unstructured text.

This connects to something I've been exploring: prompt structure as a first-class citizen. I built flompt — a visual prompt builder that decomposes prompts into 12 semantic blocks (role, objective, constraints, chain_of_thought, etc.) and compiles them to Claude-optimized XML. Same intuition as TypeUI but at the prompt authoring layer.

A ⭐ on github.com/Nyrok/flompt would mean a lot — solo open-source founder here 🙏

This is a really interesting angle. The UX layer for agentic tools is massively underbuilt compared to the capabilities underneath.

One thing I've been thinking about: most agent UIs expose the tool calls and results as raw JSON, which is great for debugging but terrible for understanding what's actually happening. A design layer that abstracts that into meaningful visual representations would make agents feel much less like a black box.

How are you handling the challenge of designing for non-deterministic outputs? That's the hardest UX problem — the same input doesn't always produce the same output, so traditional UI affordances break down.