Prototyping at Speed: How Rently PMs Use AI Tools

Introduction

Product management often lives in the space between ideas and execution. At Rently, we’ve learned that the faster we can turn ideas into something tangible, the better our conversations and decisions become. That’s why AI-powered no-code tools (such as V0) have been a great addition to our toolbox.

The Challenge: From Idea to Alignment

Traditionally, moving from a product idea to a design concept involved multiple rounds of explanation, handoff, and iteration. As PMs, we’d spend a lot of time describing what we had in mind—only to realize later that what others understood wasn’t quite the same. In other words, it’s a bit like trying to describe a movie scene over the phone; you can get the gist across, but it’s never as clear as actually watching it.

The Solution: Rapid Prototyping with AI

With these AI powered no-code tools, we can bypass that bottleneck. Instead of stopping at written specs or static slides, we now generate prototypes that look and feel like the real thing. These prototypes don’t need to be pixel-perfect; however, their value lies in making the abstract concrete.

As a result, this approach allows us to:

• Communicate ideas more visually and directly.
• Identify usability concerns early.
• Explore multiple directions before committing resources.

It’s like swapping a sketch on the back of a napkin for a walk-through model you can experience in minutes. Consequently, ideas become clearer for everyone involved.

The Impact: Better Conversations, Better Decisions

We’ve seen this approach transform discussions. Rather than debating abstract possibilities—“What if the button was here?”—we review a working prototype together. The conversation therefore shifts from theoretical to practical. Because of that, decisions get made faster, with more clarity, and with better buy-in across teams.

Importantly, this doesn’t replace our design partners. On the contrary, it helps us come to the table with clearer starting points, aligned expectations, and fewer lost-in-translation moments.

Conclusion

AI no-code tools have given us, as product managers, a new superpower: the ability to prototype at the speed of thought. They not only help us bridge the gap between vision and reality, but also improve collaboration, and ultimately lead to smarter product decisions.

And truth be told—it also makes the day-to-day of product management a lot more fun.