In an AI-driven workflow, the primary value of a rapid prototype is not for design exploration but as a communication tool. It makes the product vision tangible for stakeholders in reviews, increasing credibility and buy-in far more effectively than a slide deck.
The rise of AI tools isn't replacing the PM role, but transforming it. PMs who embrace an "AI-enhanced" workflow for research, docs, and prototyping will gain a massive productivity advantage, ultimately displacing those who stick to traditional methods.
Dramatically accelerate product development by "tool-hopping": use Perplexity for research, feed results to a custom ChatGPT for a PRD, generate a UI prototype with V0 from the PRD, and create a promotional video with Flow or Sora for stakeholder buy-in.
Prompt an AI tool like Perplexity to create two personas—one for and one against your idea. Have them debate using Reddit discussion data to surface the minimum features needed to convince skeptics and achieve product-market fit.
Instead of prompting a generic LLM, create a custom GPT pre-loaded with your preferred Product Requirements Document (PRD) template and writing style. This generates consistent, high-quality, personalized documentation in seconds by simply feeding it a feature list from your research phase.
Go beyond static prototypes by using text-to-video tools like Flow or Sora to create promotional clips. This final step allows stakeholders to visualize the product in a real-world context and emotionally connect with the user experience, making your pitch significantly more persuasive.
A novel use for Google's NotebookLM is to act as an impartial judge. By uploading audio recordings of multiple pitches and providing specific judging criteria (e.g., innovation, impact, storytelling), the AI can analyze the content and announce the winners, adding a unique and data-driven element to events.