Long before we understood orchestration graphs, memory persistence, or tool-calling loops, we spent weeks sketching developer workflows. We believed that the user interface dictates how humans cooperate with machines.
We asked: How would a developer want to watch an AI build? Not in a narrow chat drawer with raw markdown dumps, but in a structured, transparent workspace.
This interface-driven design process forced us to think about a spatial board where design wireframes, active logs, requirements, and generated code sit side-by-side. The UI became our primary framework for thinking through the technical challenges.
Interactive Demonstration // UI & Design
Video recordings from our initial interface prototyping sessions.
Key Lessons & Engineering Principles
- 1Design is a way of structural thinking, not just decorative styling.
- 2Building UI early clarifies what tools and context the AI backend actually needs to expose.
- 3Developers need transparent observability over AI actions rather than opaque black-box generation.