From Mockup to Production: How Aysha Built an AI Asset Pipeline

​You know that moment when AI generates a beautiful app mockup and then you try to actually build from it and your tool is like "...I don't know what to do with this"?

​That's because AI mockups are flat. One image. No layers. No individual assets. No way to hand it off to Figma, Lovable, Webflow, or your dev without manually cutting everything apart.

​Aysha solved this.

​She built an AI-driven agent flow that takes a single mockup and turns it into a full asset production pipeline:

​The agent analyzes the screen and extracts every visual element. Backgrounds, characters, icons, buttons, cards, badges, all of it. Then it classifies each one as either an image asset (something that needs to be generated) or a real UI component (something that should be built as code). Every asset gets production metadata: name, category, priority, style prompt, variant needs, QA notes. Then it generates individual prompts for each asset so the visual style stays consistent across everything. And the whole thing exports directly into a Notion database, ready for your design or dev workflow.

​One flat mockup becomes a reusable, trackable design system.

​If you're building products with AI and you've been stuck at the "it looks pretty but I can't use it" stage, this session is for you.