Yes, some AI startups try to skip either the MVP or MMP phase, but it usually increases risk. In AI development, testing the core concept through an mvp vs mmp approach is important because an MVP validates the model’s basic accuracy while an MMP proves real-world usability. Skipping directly to a polished release without understanding minimum marketable product vs minimum viable product differences can cause wasted resources, poor user adoption, or inaccurate AI outputs. Conclusion: For AI products, following both stages—first MVP for validation, then MMP for market fit—creates a safer and more scalable launch strategy, reducing failure chances.