Product Strategy for a Prompt-Driven AI Music Generator

You have a model that generates music from a written text prompt. How would you turn this capability into a product? ```hint Start with who needs music Many groups need music they cannot easily compose or license, but for different reasons. Compare them on how often they need it, what they would pay, and what they need to be sure of before using generated music. ``` ### Clarifying Questions - How good is the output today: short instrumental clips, or full songs with vocals and lyrics? - Was the model trained on licensed music, so that users could be allowed to use what they generate commercially? - Should the product be a standalone app, a feature inside a product the company already ships, or an API for other companies? - Are there policies already set on imitating specific artists' styles or voices? ### What a Strong Answer Covers - Target segments compared on how often they need music, what they would pay and the risks they bring, with a reasoned first segment - That segment's pain points, such as licensing, cost and fitting music to content, and the features that address them - Product form and business model (consumer tool, integration into creator workflows, or API) and the order in which to ship them - Rights and trust: licensed training data, commercial-use terms, protection against imitating real artists, and provenance of generated tracks - Success metrics tied to generated music actually being used, with legal and quality guardrails ### Follow-up Questions - A well-known artist says publicly that the tool can make tracks that sound like theirs. How do you respond in the product and in policy? - Creators generate many tracks but export few. How would you find out why? - Would you let users register generated tracks with the copyright-matching systems that video platforms run? What could go wrong if you did?