AI prototyping might change everything—so I’m putting it to the test
What if you could turn an idea into a working prototype in just a few hours—without needing a dev team in the first place?
For years, I’ve been stuck in perfectionism paralysis.
Not in the "I never get anything done" kind of way, but in the "I overthink an idea until it dies in a Notion doc" way. You know how it goes—the idea is nearly there, but before you can test it, you need a seamless user flow, a refined wireframe, and, ideally, a fully functional MVP.
And that’s where things stall. Because building something takes time, resources, and a level of commitment that makes every decision feel high-stakes.
The result? Ideas sit on ice while the market moves on.
Lately, though, I’ve been watching other Product Managers and founders move at lightning speed—all thanks to AI.
And I’m excited to get on board!
AI as a shortcut to "good enough"
I’ve seen people toss a rough idea into ChatGPT, generate product copy in seconds, get AI-written code structured by Cursor, and deploy a working prototype on Replit—all in a single weekend.
No waiting for designers.
No hunting down developers.
Just rapid execution and instant feedback.
Sounds kind of unreal, right? But it’s happening. And while I haven’t gone all-in on AI-powered prototyping yet... I’m about to.
Why??! Because speed is a superpower
We all know "perfect is the enemy of done." But let’s be honest—how often do we actually follow that advice?
It’s way too easy to get caught up in tweaking and refining before putting anything out into the world.
What if, instead, we just got things out there faster?
What if we embraced messy, imperfect, but functional?
With AI, the excuses are disappearing:
Need to validate demand? AI can spin up a landing page in minutes.
Need a quick prototype? AI can write a scrappy version of the code.
Need to understand users? AI can summarize insights from feedback instantly.
This isn't about replacing the process—it's about cutting out the busywork so we can focus on what really matters: quickly figuring out what works and what doesn't.
I’m diving in to test this out—trust me, you’ll want to see how it unfolds!
I’ve spent way too much time watching others do this. Now, it’s my turn. I’m diving in headfirst—experimenting, iterating, and seeing just how much AI can supercharge product validation.
And here’s the juicy part: I’m working on a secret collaboration that could take this to another level. I can’t spill all the details just yet, but let’s just say it has the potential to change how we think about rapid prototyping.
If you’ve been waiting for a sign to start playing with AI, this is it.
Let’s stop overthinking and start building.
More soon. Stay tuned! ✌️
Got thoughts, questions, or just want to chat? My DMs are always open—let’s connect!
Commenting for reaching out to similar AI builders or vibe-coders.
Been experimenting building my own apps using Replit and Cursor. The recent Sonnet 3.7 launch has been wild! I could build my quite complex to do list app with only 1 prompt.
Curious to see what are you building!
This really resonates with my experience. The "idea to prototype" gap has been my biggest frustration in product development for years. I've recently been exploring this exact approach - using AI as a prototyping partner to validate concepts before investing heavily.
What surprised me most was how showing developers actual working code (even if imperfect) changes the conversation entirely. The feedback becomes immediately actionable rather than theoretical.
You're absolutely right that it's about finding "good enough" to test ideas quickly. Looking forward to hearing how your experiments turn out!
For those interested in this approach: https://thoughts.jock.pl/p/product-owners-technical-founders-building-mvps-2025