Most PM prototypes die for one reason: they were never designed to become a system.

The upgrade: prototype → system

If you want a prototype to survive, treat it like a minimal system:

• define the user + workflow
• define the data model
• define the API boundaries
• define what “done” means

Where AI helps (and where it hurts)

AI is great for:

• scaffolding UI
• generating boilerplate
• translating a spec into code

AI hurts when:

• you skip the data model
• you don’t define constraints
• you ship without error handling

In a Vibe Coaching Sprint, we build your use case end-to-end so you learn the fundamentals while shipping.