Why Most AI MVPs Break After Launch

A founder recently showed me an AI product he built without prior technical experience.

At first glance, the product looked complete.
Good UI.
Multiple pages.
Working workflows.

But when I reviewed the codebase, the real problems appeared.

• environment variables were hardcoded
• authentication was broken
• no rate limiting existed
• several pages crashed with blank screens
• the project had no proper architecture

This is something many founder's underestimate.

Building screens is not the hardest part anymore.

Modern AI tools can generate interfaces quickly.

The difficult part is everything underneath:
• security
• scalability
• system design
• dependency management
• production reliability

Real example:
An AI SaaS app may work perfectly with 10 users. But without proper architecture, the app starts failing the moment hundreds of users hit the APIs simultaneously.

That’s the difference between a demo and a real product.

Have a product idea in mind?
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30+ projects shipped across AI agents, SaaS tools, websites, and mobile apps.

Contact: https://thesquirrel.tech

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Видео Why Most AI MVPs Break After Launch канала Ganesh Ghatti Daily