<ul data-eligibleForWebStory="true"><li>The Minimum Viable AI (MVA) is emphasized as a way to prove the concept with minimal model power.</li><li>Creation of a one-page Data Spec, choosing a sourcing tactic, and scoring readiness are key steps in the process.</li><li>Weighted points from readiness scores will determine if the project is 'good to go' or requires changes.</li><li>A single fail is a setback, while two fails indicate the need for a pivot.</li><li>A lean squad is recommended for a six-month Minimum Viable Product (MVP) with a budget overview and macro timeline.</li><li>Starter documents mentioned include a Data-Processing Agreement, model card template, risk log, and rollback Standard Operating Procedure (SOP).</li><li>Plans to transform the data spec into a demo within 48 hours using off-the-shelf models and fail-fast checklists are highlighted.</li><li>Contact information for further engagement is provided at the end of the article.</li></ul>

AI Product Management 101 — Section 2: Planning & Requirements

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