MVP no longer means “skip architecture”
When AI is in the critical path, the cheapest mistake is an unobservable prototype that teaches you the wrong lesson. You learn that “users liked the demo,” not whether the system can recover from bad outputs.
An AI-native MVP still cuts scope. It does not cut contracts: evaluation sets, human review queues, logging, and a product surface that exposes uncertainty.
The loop is the product
Capture input → produce output → measure quality → improve the system. Whether you are shipping music feedback tools or B2B agents, the companies that compound are the ones that instrument the loop early.
That is also why disconnected faces kill MVPs: if the web intake, the product core, and the automation layer do not share events, you cannot learn.
Scope like a cube
Pick one face that unlocks the rest. Ship the smallest volume that holds under pressure. Resist the urge to sprinkle AI on every screen. Depth beats decoration when search traffic arrives with real intent.