For years, static prototypes have been the norm. We’ve built frames in Figma, stitched them together with simple click-through interactions, and called it a prototype. It worked—it was fast, it was familiar, and for a long time, it was enough. But that’s no longer true. AI-powered prototyping has changed the game.

It’s no longer a nice-to-have—it’s quickly becoming the new standard. That’s why we’re not just exploring AI prototyping tools—we’re actively upskilling design teams and individuals to work with them confidently.

Why AI Prototyping Matters for Designers Today

Static prototypes can no longer keep up with the complexity of modern products. They don’t handle real interactions, conditional flows, dynamic states, or edge cases. And ultimately, they’ve always been a throwaway step—disconnected from what actually ships.

AI prototyping tools are eliminating this waste. They allow us to design interactive, dynamic experiences from the start—prototypes that feel real, that test better, and that move teams closer to production-quality outputs without endless rework.

But here’s the thing: it’s not just about the tools—it’s about the people. We’re focused on helping designers and teams build these AI prototyping skills now—because the longer you wait, the more your workflow will fall behind.

Upskilling Design Teams in AI Prototyping

Across the industry, we’re seeing a skill gap emerge. Many designers are still clinging to static prototyping workflows—not because they don’t see the value in AI prototyping, but because they’ve spent years getting fast at what they know.

It’s comfortable. It feels efficient. But what feels fast today is often slowing you down tomorrow. Designers who keep relying on static prototypes will eventually hit a wall—they’ll find their work disconnected from development, harder to test, and increasingly outdated compared to AI-driven workflows.

That’s why we’re actively training and upskilling design teams in AI prototyping. We’re helping them confidently move beyond click-through screens and build real, interactive prototypes that better reflect the products they’re designing.

Whether it’s navigating tools like Figma Make, Lovable, Cursor, Bolt, or V0, we’re focused on bridging the skills gap now—not later. The sooner designers upskill, the sooner their workflows get faster, smarter, and far more aligned with modern product teams.

What We’ve Learned Testing the Tools

We’ve spent the last few months embedding AI prototyping tools into real-world design workflows—testing Lovable, Cursor, Bolt, V0, and Figma Make. Here’s what we’ve seen:

Lovable, Cursor, and Bolt

Perfect for individual designers and freelancers. They’re intuitive, fast, and great for solo workflows where you want to design, prototype, and ship in one tool. But they’re harder to scale for larger teams that depend on shared libraries, tokens, and tightly managed design systems.

V0

An exciting AI-powered tool for generating front-end components, but currently feels more aligned with developer workflows than design teams managing system-wide consistency.

Figma Make

For design teams, Figma Make is the most sensible choice. It offers seamless library syncing, a single-tool workflow, and the ability to prototype complex interactions without leaving the Figma environment. It scales beautifully across teams, keeps systems intact, and reduces the friction between design, prototyping, and production.

Why Upskilling Can’t Wait

It’s easy to stick with what you know. Many designers will naturally default to the tools and workflows they’ve been using for years—it feels faster, it feels comfortable, and it feels like the safest option when timelines are tight. But sticking with what’s familiar can quietly hold you back.

The design process is moving forward. Tools are advancing, teams are adopting AI-powered workflows, and the speed of modern product development is outpacing static prototyping. The sooner you upskill, the sooner your workflow will catch up to where the industry is going. Waiting only widens the gap.

The Bottom Line

AI prototyping isn’t the future—it’s here. And we’re committed to upskilling designers and teams so they can work faster, smarter, and better—today. We’ve tested the tools. We’ve lived the workflows. And we’ve seen the impact when designers fully embrace AI prototyping.

There’s no need to waste time building static prototypes anymore. The next chapter of design is already in motion.