<ul data-eligibleForWebStory="true"><li>Learning whether your idea is Series-A-worthy entails asking strategic questions related to data uniqueness, legal aspects, performance, economics, reliability, scale, and support.</li><li>A proof of concept (PoC) must achieve specific outcomes and undergo various stages like setting success metrics, acquiring validation data, adding monitoring, and stress testing edge cases.</li><li>Validation checks help identify failing ideas, leading to a structured Hypothesis → Change → Measure → Decide → Repeat approach in rapid AI prototyping.</li><li>The next section will focus on transforming a prototype into a production-ready system with GitOps, feature stores, CI/CD, and safeguards to prevent technical debt.</li></ul>

AI Product Management 101 — Section 3: Rapid Prototyping

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