Definition: A minimum viable product (MVP) is the simplest version of a product that real users can use, built to test its core value and gather feedback with the least effort before investing in a full build.
The term was popularized by Eric Ries in The Lean Startup, where an MVP is part of a build, measure, learn loop. The goal is validated learning, not a polished release.
A prototype shows how something might look or work, often without real data. An AI proof of concept tests whether a technical approach is feasible. An MVP goes to real users in real conditions, even if its feature set is narrow.
A good MVP focuses on one core workflow, uses managed services to avoid building infrastructure, tracks usage from day one, and is built with code quality that can grow rather than be thrown away. For AI MVPs, that includes basic evals and guardrails from the start.
Ryz teams build MVPs through MVP development, with senior engineers working on your team and reporting to your leads.
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