Is Prototyping Really “Solved”? A Deep Dive into Current Challenges
Despite the buzz around AI tools like Cursor and Claude, many organizations—particularly in healthcare and regulated industries—face a convergence of challenges when it comes to prototyping. The creativity is abundant, but the execution is where it falters.
Key Bottlenecks:
- Internal IT teams are too focused on maintenance tasks.
- Engineers are overloaded with existing projects.
- AI tools still require context, ownership, and time to generate usable outputs.
- Agency and freelancer resources are often slow for rapid prototyping needs.
My perspective? The prototyping issue hasn’t vanished; it’s merely shifted to those least equipped to tackle it.
Let’s Discuss:
- Are you prototyping continuously or mainly one-off projects?
- Have AI solutions replaced your need for external assistance?
- If you could produce realistic prototypes in days, how often would you utilize that capability?
I’d love to hear your thoughts! Share your experiences and let’s explore these insights together. 🌟
