Introduction

Hello, I’m Mia Sato, an AI Research Specialist.

Have you ever felt that, in many cases, you spend more time explaining the situation than actually doing the work itself?

For example:

• You already submitted the advertising report, but when the meeting starts, you still have to explain the background all over again.
• You are discussing an LP, but everyone has a different picture in mind.
• You simply want to improve an internal screen, yet the discussion drags on because no one can clearly visualize what that screen should look like.

These situations happen all the time.

The materials exist. The discussion points exist. And yet, everyone is still looking at something slightly different in their heads.

The longer it takes to align those assumptions, the more work slows down.

As I have been looking at the recent updates to Google Stitch, I have started to see an interesting possibility. Rather than viewing it simply as a tool for generating UI automatically, I see it as something that could reduce the back-and-forth explanation between planning, operations, and development, and help conversations move forward more quickly.

What This Article Covers

In this article, I will walk through the latest updates to Google Stitch and look at:

• what has changed
• where it can be useful in real business settings
• how to use it effectively without getting stuck
• what to review before adopting it

Why GDX

At GDX, we often hear similar frustrations from clients.

• Reports exist, but additional explanations are still needed because of background checks and follow-up questions.
• Information about promotions, inventory, and price revisions is scattered, which slows down decision-making.
• Different stakeholders are looking at the same issue from different angles, making it harder for discussions to move forward.

These kinds of misalignments gradually reduce the speed of execution on the ground.

That is why, at GDX, we see potential in tools like Google Stitch that can quickly visualize a rough first draft and help stakeholders align around the same picture.

The reason we are focusing on this topic is not simply to introduce another new UI tool. It is because we believe it may offer a practical hint for reducing the “loss caused by explanation” that happens so often in day-to-day work.

What Kind of Tool Is Google Stitch?

In short, Google Stitch is a design support tool from Google Labs that can quickly generate UI drafts from text or images.

You can describe things like:

• “I want to build a page like this”
• “I need a screen for users like this”
• “I want to organize this information more clearly”

And based on that description, it creates screen proposals for mobile or web.

What matters is that the output is not just a rough sketch. It is often detailed enough to start a real conversation.

That point is important.

In practical work, what you need first is not a perfect final design. What you need is something concrete enough to begin discussing.

What Has Changed in Google Stitch Over the Past Year?

Broadly speaking, Google Stitch has evolved from a one-off UI generation tool into something closer to a workspace for contextual design.

The early version of Stitch: AI for generating individual screens

In its earlier form, Stitch had features such as:

• generating UI from text or images
• exporting to Figma
• producing frontend code

Even at that stage, it was already useful.

Especially in the early phase of a project, when direction is still unclear, having even a single screen is far more useful than having nothing at all.

December 2025: Gemini 3 support and prototypes

In December 2025, Stitch added support for Gemini 3, which improved UI generation quality and introduced prototypes.

This meant it was no longer just about generating a polished single screen. It also became easier to show how screens connect and transition.

That is a subtle but significant change.

In real-world work, what matters is often not the screen itself, but what happens before and after it.

March 2026: Toward an AI-native design canvas

In March 2026, the feature set expanded even further:

• infinite canvas
• design agents
• agent manager
• DESIGN.md
• voice interaction
• tool integration via MCP / SDK

At that point, the impression changes quite a bit.

It starts to feel less like a tool for creating one UI screen and more like a place where design conversations can happen while preserving the broader intent and flow of a project.

Put another way, it has moved noticeably from:

AI that creates screens
to
AI that helps teams align through screens

Its Biggest Value Is Not Final Output, but Earlier Alignment

This is a particularly important point.

If you judge Google Stitch only by whether it can generate an impressive UI in a single shot, you may miss where its real value lies.

In practice, what matters most is that it helps stakeholders start reviewing and aligning much earlier.

A common problem in meetings is this:

• everyone is talking about the same thing, but imagining different outcomes
• the words make sense, but the image of the screen is still different from person to person
• people keep explaining, but no one is sure whether the message has actually landed

With Stitch, you can put something visible in front of the team right away.

And once that happens, the discussion becomes much more concrete.

People can say things like:

• This part feels off
• This order works better
• This flow might confuse users
• This information should be higher on the page
• This version would be easier for the team to use

In other words, abstract discussions become discussions that can actually be revised.

From GDX’s Perspective, Where Is It Easiest to Use?

Let’s now look at it from a more practical perspective.

In particular, there are several use cases where Stitch feels especially approachable in EC operations and internal business workflows.

1. Drafting EC LPs and campaign pages

The slowest part is often: “Can you just show us three initial directions?”

A typical example is a promotional planning meeting at the beginning of the month.

The situation may look like this:

• the team wants to launch a summer sale next week
• the campaign theme is already decided, such as a cooling-items feature
• but the page structure has not been defined yet

The EC lead says, “We need an LP draft for now…”

And then the meeting stalls.

No one can decide what the main angle of the page should be.

On top of that, marketing, merchandising, and design all care about slightly different things, so the first draft is surprisingly hard to agree on.

Everyone is making valid points, and yet the team cannot settle on the first proposal.

That is often the most time-consuming part.

How to use Stitch here

The key is not to try to create a perfect LP from the outset.

Instead, create only four screens that are good enough to review in a meeting:

• top page
• product listing
• FAQ
• purchase flow

The prompt can stay simple.

For example:

A summer cooling-items campaign page. The structure should make the value clear at a glance, even for first-time users. Include a hero section, campaign details, popular products, reviews, FAQ, and a purchase path. Mobile-first, bright, and easy to understand.

What to evaluate

What matters here is not the design polish.

The team should be looking at:

• which version is closest to the intended direction
• where the gaps are
• what should be prioritized

In other words, the question is not “Is this already usable?” but “Does this help the discussion move forward?”

2. Organizing requirements for internal screens that need to bring together fragmented information such as inventory, price changes, and customer inquiries

The most dangerous moment is when everyone assumes, “If we explain it, people will understand”

This kind of situation also happens frequently.

For example, during a Monday morning check-in with the EC operations team:

• some products have started running low on stock since yesterday
• several products have undergone price revisions
• customer inquiries are increasing, and the CS team is starting to get concerned

The problem is that the relevant information is spread across multiple screens and datasets, so it is not immediately obvious which products should be checked first.

That is when someone says, “Maybe we should make the internal screen easier to read.”

At first glance, that sounds like a routine improvement request.

But this is often where the discussion suddenly becomes difficult.

Why? Because even when everyone is looking at the same overall issue, the information they want differs by role.

Operations, CS, MD, and engineering all have slightly different priorities and assumptions. On top of that, the data sources are fragmented, which makes it unclear what the first screen should actually include.

Everyone is making reasonable points.

And yet the conversation often ends up stuck on one question:

“So what exactly were we going to put on the first screen?”

There are also practical constraints: the screen has to be easy to scan during busy morning operations, it should not overload users with too much information in one view, and ideally it should avoid requiring a major rebuild.

The most dangerous thing at this stage is to keep the discussion at the level of, “People will understand once we explain it.”

How to use Stitch here

Again, the point is not to lock down detailed specifications from the beginning.

Start by generating just four screens that reflect the actual workflow:

• product list
• product detail
• inventory anomaly list
• price change review

The instructions do not need to be technical. A practical description of the business situation is enough.

For example:

The user is an EC operations manager. On busy mornings, they need to quickly decide which products require attention first. The UI should make anomalies easy to identify across multiple signals, such as stockouts, price changes, and increased customer inquiries. The list view should make priorities clear, and the detail view should explain why action is needed.

Even this is often enough to significantly move the conversation forward.

What to evaluate

What matters here is not whether the UI is “complete.”

The team should be discussing questions such as:

• what belongs in the list view
• what should move into the detail view
• whether anomalies are being represented clearly enough
• whether priority can be understood at a glance

At that point, requirements stop being something defined only in words and start becoming something shaped while looking at the screen together.

That alone can move the requirements discussion forward considerably.

What to Review Before Adoption

1. Treat its role as drafting and alignment, not production-ready delivery

Google itself positions Stitch and related features as experimental.

That means the safer and more effective way to use it is not:

• to push the output directly into production

but rather:

• to create drafts quickly
• to compare alternatives side by side
• to make conversations more concrete

Once you frame it that way, it becomes much easier to use effectively.

2. The riskiest approach is to paste in real data just because it is convenient

This point is especially important.

Under Google’s general policies, how inputs and usage data are handled can vary depending on the service and configuration. At the same time, there are limits to what can be confirmed publicly about Stitch-specific handling in detail. For that reason, it is safer not to paste in raw customer information, sales data, cost data, or confidential upcoming initiatives as-is.

A better approach is to start with:

• dummy data
• placeholder product names
• approximate numbers
• no real CSV uploads
• just the fields and structure needed to examine the screen layout

At the beginning, the main job for AI is not to process confidential business data.

It is to help build the screen structure and create a shared basis for discussion.

Conclusion

Looking at the latest updates to Google Stitch, it feels increasingly clear that this is no longer just a UI generation tool.

It is becoming a design-support AI that helps planning, operations, and development align earlier and more smoothly.

In particular, it seems well suited for:

• creating rough drafts for EC LPs and feature pages
• organizing requirements for internal screens
• handling first-round alignment with vendors
• comparing user flows and presenting multiple directions

The key is not to expect a finished product from the start.

Instead, it is more effective to use it as a tool for accelerating drafts, comparisons, and consensus-building.

Used with that mindset, it can be highly practical.

For teams that are tired of meetings that begin with long explanations, and for teams that constantly wish they could “just make it visible first,” this is the kind of tool that may be worth trying.

References

Official:

• Introducing “vibe design” with Stitch / Google Blog
• From idea to app: Introducing Stitch, a new way to design UIs / Google Developers Blog
• Stitch from Google Labs gets updates with Gemini 3 / Google Blog

Expert commentary:

• I tried Google Stitch. Here’s what I loved (and hated) about it / Chinwe Uzegbu / LogRocket Blog
• Google Labs turns Stitch into a full AI design platform that converts plain text into user interfaces / Matthias Bastian / THE DECODER

For more information about GDX Inc., please visit the company website.

Parts of this article were created with the assistance of ChatGPT and then reviewed and edited by the author. The content reflects the personal views of the author and does not represent the official opinion or position of GDX Inc. This article is intended for reference only. Please refer to official announcements and primary sources for confirmation.