Still designing apps the old way?
There's a growing gap in how we build products with AI.
On one side: "vibe coding" that's fast but chaotic, leaving you with inconsistent UI and technical debt from day one.
On the other: tediously hand-holding AI agents through every decision, which defeats the purpose of using them at all.
The missing piece isn't better prompts or smarter models—it's a deliberate process for making design and product decisions before you hand anything off to AI.
In this live workshop + Q&A, I'll walk you through the AI-first design methodology I've developed and built into a new tool called Design OS. You'll learn how to structure your product thinking so that AI agents can execute with precision and fidelity—exporting real, working components directly into your codebase. No Figma. No mockups. No gap between what you designed and what gets built.
Attendees will also get a first look at Design OS, my new free and open source tool that operationalizes this entire methodology.
What you'll learn:
- Why current AI coding workflows produce inconsistent UIs, and what to do instead
- A sequential decision-making process for data models, design systems, and application architecture
- How to create handoff documents that give AI agents exactly what they need—nothing more, nothing less
- The component-based export approach that maintains perfect fidelity between your vision and final implementation
- How Design OS makes this workflow practical and repeatable
