Stitch-to-AI Studio Design-to-Build Pipeline
Design in Stitch, add functionality in AI Studio, then publish through Google Cloud
- Difficulty
- Easy
- Time to result
- ~days to results
- Steps
- 6
- Confidence
- 98%
Begin by prompting Google Stitch with the desired product, audience, visual direction, and screen requirements. Use Stitch as the dedicated design phase, reviewing its generated layout and iterating until the initial screen establishes a satisfactory visual system. Export that approved design into Google AI Studio, where the generated code becomes the scaffold for the functional prototype. Add subsequent pages one at a time so AI Studio can reuse the established layout, aesthetics, and navigation rather than repeatedly redesigning the product. Test each generated page and interaction before requesting the next one. Once the prototype is coherent, select a Google Cloud project and publish it to a public Google-hosted URL, connecting a custom domain later if needed.
Origin
Extracted from Marketing Against The Grain during Matt Wolf's demonstration of turning a Stitch dashboard design into a coded, multi-page AI Studio prototype.
Core principles
- 01Separate visual design from functional implementation
- 02Approve the initial design before expanding the product
- 03Preserve one visual scaffold across subsequent pages
- 04Build and verify the product incrementally
- 05Delay publishing until the prototype is worth exposing publicly
How to run it
- 1
Prompt the initial concept
Describe the website or application, its purpose, and the first screen Stitch should design. Include enough product context for the tool to establish an appropriate visual direction.
Pro tip Start with the most representative page because it will anchor the rest of the product.
Watch out Do not assume requested live information will automatically be grounded in current web data.
- 2
Select and refine the design
Review the generated screen, request variations where useful, and continue iterating on the strongest direction. Stop when the layout, color system, and aesthetics are suitable for reuse.
Pro tip Use Stitch for visual decisions rather than asking it to implement the entire product.
Watch out Moving forward with an unresolved design can propagate inconsistencies across every later page.
- 3
Export to AI Studio
Right-click the selected Stitch design and export it into Google AI Studio. Treat the transferred code and assets as the application's initial scaffold.
Pro tip Verify that images, markup, and styling transferred correctly before extending the build.
Watch out Stitch's own HTML preview is basic and should not be mistaken for the finished functional application.
- 4
Expand one page at a time
Ask AI Studio to build the next required page on top of the existing scaffold. Repeat for comparison, history, checkout, or other screens while preserving the original aesthetics.
Pro tip Name the specific page and its purpose instead of asking for the whole application again.
Watch out Regenerating the entire product can introduce unnecessary redesigns and visual drift.
- 5
Test the working prototype
Open each generated route, exercise its navigation, and confirm that the new functionality works. Correct defects before requesting another page.
Pro tip Use visible navigation actions as quick checks that the application is becoming functional rather than merely decorative.
Watch out A polished preview does not prove that links, data, or interactions work.
- 6
Publish when ready
Select a Google Cloud project and publish the application to the generated public URL. Connect a custom domain later if the prototype graduates into a real deployment.
Pro tip Use the temporary Google URL for internal review before configuring a domain.
Watch out Publishing makes the application publicly accessible even though the chat history and code remain private.
In the wild
Matt prompted Stitch to design a dashboard comparing large language models. After choosing the initial design, he exported it into AI Studio and asked the coding environment to build the models page on top of the existing dashboard scaffold. The resulting navigation opened a working models page while retaining the established design.
→ A static design became a coded, navigable multi-page prototype without rebuilding the visual system.
A marketer could describe a campaign landing page in Stitch, refine the strongest visual treatment, and export it into AI Studio. AI Studio could then add a checkout page and confirmation page using the same scaffold before the marketer publishes a review URL through Google Cloud.
→ The marketer produces a coherent campaign prototype in days rather than coordinating a week-long manual design-and-build cycle.
Common mistakes
Using one tool for every phase
Stitch is strongest as the visual design phase, while AI Studio is better suited to extending the code and functionality. Forcing Stitch to perform the complete build underuses the complementary workflow.
Building every page before testing
Generating the full application without checking each route allows broken navigation and design drift to compound. Verify every increment before adding the next page.
Publishing an unverified preview
A professional-looking interface can still contain stale data, inert links, or incomplete behavior. Test the prototype before making its URL public.
Is it for you?
Best for
It is best for marketers, founders, and small teams rapidly producing landing pages, sales pages, dashboards, or early web-app prototypes.
Not ideal for
It is not ideal for production systems requiring complex backends, rigorous accessibility work, sensitive data handling, or deeply customized infrastructure.
From the transcript
“Stitch is clearly designed to be your design phase.”
“That's how I would typically do it is you get the initial design in Stitch. Once you have this initial design in Stitch, export it…”
“Once you've exported to AI Studio, you can pretty much continually just tell it to build out the next page, build out the next page,…”
From the episode
I Replaced a $5,000 Designer with Google Stitch