Tech • IA • Crypto
Build and share interactive prototypes in Codex
TL;DR
OpenAI has introduced a product design plugin that streamlines the process from concept to interactive prototype, enabling faster and more collaborative product development.
KEY POINTS
End-to-End Design Workflow
The OpenAI Product Design plugin consolidates ideation, prototyping, and sharing into a single workflow. It addresses a long-standing bottleneck in product design: translating early ideas into functional, testable prototypes. By automating multiple steps, it reduces the need for fragmented tools and manual handoffs.
AI-Guided Ideation
The system begins by asking clarifying questions and analyzing reference materials such as visual briefs. Based on this input, it generates multiple design directions, allowing teams to compare concepts quickly. This accelerates early-stage exploration while maintaining alignment with user intent and design goals.
Automated Prototype Generation
Once a concept is selected, the model converts it into an interactive prototype using code. It creates necessary visual assets and conducts internal testing, including responsiveness across screen sizes and visual consistency checks against the original concept. This ensures a higher level of fidelity before human review.
Interactive Testing and Iteration
Designers can interact directly with the prototype, testing features such as navigation, toggles, and scrolling. The system supports iterative refinement through annotations, enabling targeted feedback and rapid adjustments without restarting the process.
Seamless Integration with Figma
The plugin exports work into Figma, either within an existing board or a newly generated file. Rather than static images, it includes full design context such as user stories, screenshots, and critique notes, allowing teams to continue collaborative editing within familiar tools.
Web-Based Sharing via Sites
Prototypes can be published as interactive web pages using a feature called Sites. This allows broader teams to explore and evaluate product concepts directly in a browser, improving accessibility and cross-functional collaboration.
CONCLUSION
By unifying ideation, prototyping, and sharing, the OpenAI Product Design plugin reduces development friction and enables teams to move from concept to testable product experiences more efficiently.
Full transcript
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 model takes that image and starts to build an interactive prototype in code. It generates the supporting images and assets needed for the experience, then goes through and tests the prototype itself before handing it over. It checks different screen dimensions, and it even compares the reference image against the local prototype to make sure that the result is looking good. Now we can test it ourselves. I'll open the prototype in full screen and start clicking around. I can interact with the application, toggle features on and off, scroll around, and get a strong sense of how this calendar experience could work in practice. If I wanted to refine it further, I could annotate specific parts of the prototype and ask for changes. For now, this looks good, so we'll move on. Next, we'll share the idea with the team. One option is to create a Figma artifact. This sends the work into an existing Figma board, though it could also generate a new one. Once this finishes up, let's open up that Figma file and take a look. Here we can see the new Agenda co-pilot page that was added. What I like about this is it doesn't just send over a screenshot. It brings the full context of the feature into Figma so the team can continue editing and refining it. We have the prototype screenshot, context about the user story, and even critique notes about the feature itself, all placed directly in the file. Now let's take the final step and share this with the broader team. We'll use our new capability, Sites, for that. Once it opens, you can see that same prototype is now available as an interactive website that the whole team can access. They can browse through it, click on different elements, and experience what this feature could look like inside of ChatGPT. So what would typically be a potentially laborious process is now streamlined into one place, helping you build and ship better products. Thanks to the OpenAI product design plugin.