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The Product Requirements Document (PRD) isn't obsolete, but its position in the workflow has become flexible. A team might build and test a prototype first to validate a solution, then write the PRD to formalize the strategy, goals, and metrics behind it.

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An AI prototype is a powerful artifact that details user experience and functional requirements. However, it doesn't replace the Product Requirements Document (PRD). The PRD remains essential for outlining the strategic "why"—market differentiation, user acquisition, and monetization—which a prototype cannot convey.

AI prototyping doesn't replace the PRD; it transforms its purpose. Instead of being a static document, the PRD's rich context and user stories become the ideal 'master prompt' to feed into an AI tool, ensuring the initial design is grounded in strategic requirements.

The high-fidelity AI prototype is becoming the primary document for communicating user experience. The Product Requirements Document (PRD) is evolving to focus on edge cases and provide structured context that can be fed back into the AI for future iterations.

The traditional workflow (Idea -> PRD -> Alignment) is outdated. Now, PMs first create a functional AI prototype. This visual, interactive artifact is then brought to engineers and scientists for debate, accelerating alignment and making the development process more creative and collaborative from the start.

The team no longer relies solely on PRDs and design docs. Product managers are now required to build a functional prototype as a core part of the development cycle, ensuring ideas are validated with a working model early on.

In AI, low prototyping costs and customer uncertainty make the traditional research-first PM model obsolete. The new approach is to build a prototype quickly, show it to customers to discover possibilities, and then iterate based on their reactions, effectively building the solution before the problem is fully defined.

Product Requirement Documents (PRDs) are often written and then ignored. AI-generated prototypes change this dynamic by serving as powerful internal communication tools. Putting an interactive model in front of engineering and design teams sparks better, more tangible conversations and ideas than a flat document ever could.

The product management workflow is evolving from documentation to creation. With AI tools lowering the barrier to build, PMs can now develop and share functional prototypes to communicate ideas and test assumptions, a much higher-fidelity approach than traditional written documents.

The traditional Product Requirements Document (PRD) is too slow for a hypergrowth environment. Amol Avasare states that his growth team at Anthropic skips PRDs for ~70% of their work, preferring to kick off projects on Slack for smaller tasks and jump directly to prototyping for larger ideas.

Instead of writing detailed Product Requirement Documents (PRDs), use a brief prompt with an AI tool like Vercel's v0. The generated prototype immediately reveals gaps and unstated assumptions in your thinking, allowing you to refine requirements based on the AI's 'misinterpretations' before creating a clearer final spec.

The PRD Is Not Dead, But It May Now Follow the Prototype | RiffOn