In this video, I demonstrate how product teams can leverage AI to dramatically accelerate the prototyping process - taking a product concept from idea to functional prototype in just minutes.
What you’ll learn
The video walks through a complete end-to-end example of creating a bakery ordering system prototype, inspired by my previous posts on product planning and prioritization frameworks.
I demonstrate:
How to set up an AI project in Claude (or similar tools like ChatGPT) with proper context
Converting product requirements into effective AI prompts
Using Replit Agent to generate a working prototype from those prompts
Comparing different approaches to prototyping (conceptual vs. functional)
Practical applications in the product development lifecycle
The power of contextual prompting
One of the most fascinating aspects demonstrated is how providing the right context to AI tools fundamentally changes what they can produce. By loading a project with relevant documentation and clear requirements, the AI is able to transform a simple product brief into detailed specifications that Replit can turn into functioning code and a testable prototype.
Why this matters for product teams
This approach opens new possibilities in the product development lifecycle. Imagine being able to rapidly test concepts with customers before committing engineering resources or exploring multiple design directions in a fraction of the traditional time.
As I mention in the video, “Is this always the best way to go about doing it? Not necessarily. Is it another tool in our toolbox as a product manager? Absolutely.”
Is it another tool in our toolbox as a product manager? Absolutely.
Key takeaways
AI-powered prototyping bridges the gap between concept and implementation
Focus on outcomes rather than specific implementations when crafting prompts
Rapid prototyping can strengthen the discovery phase of product development
These tools complement (not replace) the expertise of the product trio
The most valuable use case is getting tangible feedback earlier in the product lifecycle
If you’re interested in seeing how these capabilities and tools might fit into your product development approach, the full video provides a practical demonstration that could spark ideas for your own processes.
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