In an age of rapid AI prototyping, it's easy to jump to solutions without deeply understanding the problem. The act of writing a spec forces product managers to clarify their thinking and structure context. Writing is how PMs "refactor their thoughts" and avoid overfitting to a partially-baked solution.

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.

Historically, resource-intensive prototyping (requiring designers and tools like Figma) was reserved for major features. AI tools reduce prototype creation time to minutes, allowing PMs to de-risk even minor features with user testing and solution discovery, improving the entire product's success rate.

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.

For complex features, a 17-page requirements document is inefficient for alignment. An interactive AI-generated prototype allows stakeholders to see and use the product, making it a more effective source of truth for gathering feedback and defining requirements than static documentation.

A prototype-first culture, accelerated by AI tools, allows teams to surface and resolve design and workflow conflicts early. At Webflow, designers were asked to 'harmonize' their separate prototypes, preventing a costly integration problem that would have been much harder to fix later in the development cycle.

The V0 team dogfoods their own AI prototyping tool to define and communicate new features internally. Instead of writing specification documents, PMs build and share working prototypes. This provides immediate clarity and sparks more effective, tangible feedback from the entire team.

AI tools that generate functional UIs from prompts are eliminating the 'language barrier' between marketing, design, and engineering teams. Marketers can now create visual prototypes of what they want instead of writing ambiguous text-based briefs, ensuring alignment and drastically reducing development cycles.

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.