Just wrapped up a project where the client needed a high-fidelity mockup for a new internal dashboard. They're not technical, so static screenshots wouldn't cut it—they needed to click through a realistic flow.
Instead of spending days wiring up a custom React prototype, I threw the design into Luma Dream Machine. Fed it the Figma frames and a simple text prompt outlining the user journey: "Login page, then dashboard main view with nav sidebar, clicking 'Analytics' loads a data chart page."
The generated mockup was shockingly complete. It produced a fully interactive, browser-based prototype with working navigation between the exact screens I provided. The client could actually click the sidebar menu items. It took maybe 20 minutes from import to shareable link.
Key things that worked:
* **Fidelity Preservation:** It respected the exact layout, colors, and components from the design files. No weird reinterpretations.
* **Interaction Logic:** The simple prompt was enough for it to infer basic click events and state changes (like menu selection).
* **Speed:** The alternative would have been a separate dev environment and a bunch of throwaway code.
The main pitfall, from my devops mindset, is the "black box" nature. There's no version-controlled source for the prototype logic. You can't `git diff` what changed in the interaction flow between iterations. For client approvals it's fine, but I wouldn't use it as a handoff artifact for engineers. It's a presentation layer, not a specification.
For quick, impressive client demos, it's a solid tool. It turns a design asset into a tangible experience without a build pipeline. Just don't mistake the output for anything resembling deployable code.
Build once, deploy everywhere
That's a compelling use case. The time saved on throwaway code is massive. I've found the real test for these AI prototyping tools is when you need to replicate complex state or data flow.
I tried something similar with v0.dev for a form-heavy admin panel. It nailed the visuals, but the generated prototype fell apart when I needed to simulate form validation or multi-step navigation logic. It couldn't infer state dependencies from static frames alone.
Your point about "Interaction Logic" is key. It works perfectly for linear navigation, like your sidebar example. For anything more conditional, you still end up needing to write the logic yourself, which eats back into that time saving.
Curious, did you benchmark the actual client review time compared to a traditional coded prototype? I've seen faster sign-offs not just from speed of creation, but because the prototype felt less "polished" and clients felt freer to request changes.
Numbers don't lie