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Companies are using AI tools like Perplexity Computer to build functional MVPs almost instantly. This cultural shift allows teams to interact with a working version of an idea to gauge its value before investing significant engineering resources, replacing the traditional text-based planning phase.

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Jay Parikh, Microsoft's EVP of Core AI, champions a culture of 'more demos, less memos.' He argues that AI tools enable teams to produce 15 product iterations in 15 minutes, making showing a working demo far more effective and creative than writing a planning memo.

Traditional "writing-first" cultures create communication gaps and translation errors. With modern AI tools, product managers can now build working prototypes in hours. This "show, don't tell" approach gets ideas validated faster, secures project leadership, and overcomes language and team barriers.

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 Alignment) is outdated.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.

Capable AI coding assistants allow PMs to build and test functional prototypes or "skills" in a single day. This changes the product development philosophy, prioritizing quick validation with users over creating detailed UI mockups and specifications upfront.

Instead of debating hypothetical ideas, tools like Vercel's v0 let anyone build and present functional prototypes. This shifts the conversation from prioritizing abstract concepts to evaluating tangible results, allowing teams to defend the merits of an actual working idea.

Anthropic leverages the low cost of execution in the AI era by building multiple potential product versions simultaneously. This "build all candidates" approach replaces lengthy spec-writing and low-bandwidth customer research, allowing them to pick the best functioning prototype directly.

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.

AI tools like Vibe Coding remove the traditional dependency on design and engineering for prototyping. Product managers without coding expertise can now build and test functional prototypes with customers in hours, drastically accelerating problem-solution fit validation before committing development resources.

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.

The product development cycle has shifted. Instead of writing a spec, Product Managers use AI coding tools like Bolt.new to build the initial working version of a product. They then hand this functional prototype to engineers for hardening, security, and scaling, dramatically accelerating the process.