10 years ago, product design started in tools like Figma: wireframes, screens, and user flows.
Also, that's how the process has been executed.
Define the interface - connect the flows - test the experience.
However, that process assumed something critical: the product thinking behind those screens was already clear.
Now, that assumption is broken.
Now, with the emergence of tools like Stitch from Google Labs, design is moving one layer up, from interfaces to generation.
Now, you can describe a product, prompt it, and, instantly, generate flows, structures, and UI directions.
This transforms something fundamental:
Now, it is easier than ever to generate a product, but definitely not to build the right one
Here is where the Eureka time arrives; most founders will see Stitch and think: this will make us faster.
And absolutely will.
However, speed without clarity doesn’t create better products; it creates faster confusion, because Stitch doesn’t solve product design, it compresses it.
From Designing Interfaces to Generating Outputs
There is a before and an after in product design:
The traditional workflow: Idea - Figma - Prototype - test - Iterate.
Now we face the emerging workflow: Idea - Prompt - Generate - Refine- Validate.
At first sight, this feels like acceleration, but in reality, this introduces a new dependency.
The quality of the output is now directly tied to the quality of the thinking.
The Illusion of Progress
Generated UI could give an extreme sensation of progress when you see screens, flows, and something that looks like a product.
However, without clear product design fundamentals, in reality, what you are seeing is:
Unvalidated assumptions.
Disconnected user flows.
Surface-level solutions.
Basically, stitched interfaces, not designed products.
The product design clarity framework (working under pressure)
There is something we can give for warranted, tools like Stitch don’t remove the need for product clarity; actually, they expose the lack of it.
That’s why, before generating anything, these three layers must be defined with precision:
User problem (context clarity)
It is important not just to define who the user is, but when and why the problem exists:
What triggers the need?
Why is it painful?
Why now?
Without the proper answers, this could generate outputs that lack relevance.
Product concept (solution clarity)
This is about more focus than features.
What is the simplest possible solution?
What are we deliberately NOT building?
And yes, AI tends to expand, but product design must be strategically constrained.
Experience intent (UX clarity)
Finally, here we found the real meaning, more than just flows.
What should the user understand immediately?
Where does value happen?
What should feel obvious without explanation?
This is the moment when product design becomes a system, NOT a set of screens.
When these layers are clear, Stitch and other tools become powerful; when they are not, they generate noise.
Practical Tip
Before using Stitch or any other AI design tool, write a structured product prompt:
Take into consideration:
User context
Problem definition
Desired experience
If it is possible, avoid describing UI, just focus on behavior, intent, and outcomes, then (and only then), use tools like Stitch to explore solutions.
Conclusion: Stitching isn’t building
Stitch is not the problem, but it’s not the solution either. It’s a multiplier, because it will amplify whatever product thinking you already have (no matter if it is good or bad).
Great products are not generated; they are built through clarity, decisions, and intentional design.
Tomorrow, tools may change, but the fundamentals of product design do not.
In our next edition, we will break down how to actually use prompt design as a system and how founders can turn AI into a real product advantage, not just a faster way to create interfaces.
Because the real leverage is not in stitching faster, it is in thinking better before you do.