Build and share interactive prototypes in Codex
Summary
OpenAI's Product Design plugin collapses the idea-to-shareable-prototype workflow into a single AI-assisted process, enabling designers to generate interactive prototypes, auto-test across screen dimensions, and share to Figma or web in minutes instead of days—fundamentally reshaping design-to-handoff timelines.
Key Takeaways
- AI-generated prototypes include automated quality assurance: the model tests different screen dimensions and compares outputs against reference images before delivery, reducing manual QA cycles.
- Multi-option ideation workflow accelerates design direction selection: the model generates 3 distinct visual directions simultaneously, allowing rapid comparison and decision-making before build phase.
- Context-preserving handoffs to Figma include user stories, critique notes, and prototypes—not just screenshots—enabling seamless team collaboration and iterative refinement in existing design tools.
- Interactive web deployment via Sites feature enables real-time team feedback at scale without requiring Figma access, democratizing prototype testing across non-design stakeholders.
- Annotation-driven refinement loop allows designers to point to specific prototype elements and request changes conversationally, reducing design spec documentation overhead.
Related topics
Transcript Excerpt
The OpenAI Product Design plugin helps product designers change the way they work. It turns one of the biggest challenges in design, going from idea to shareable prototype, into a streamlined workflow, enabling companies to build better products faster. Here's an example: designing a new calendar feature inside of ChatGPT. First, the model will begin to orient itself by asking a few clarifying questions. I'll answer those and provide a reference file for it to use as a visual brief. Now it has a strong understanding of the direction, so we'll start the ideation process. The model generates three different visual directions. I can review each one, compare the options, and decide which prototype I want to build. All pretty good, but I like option one, so let's build that. From there, the mod…