Turn Your Ideas Into Reality

This assessment sits at the very beginning of your development journey, in the "discovery" or "validation" phase. It bridges the gap between having an initial idea and knowing exactly what to build first to test if that idea has merit.

AI has dramatically transformed the prototyping landscape. Traditional workflows once separated design and development, but AI now enables simultaneous prototyping and building. This creates both opportunities and challenges—you can move faster, but choosing the right AI tools becomes critical to avoid wasted effort or technical debt.

Yes. We help you navigate the growing ecosystem of AI-assisted development tools like Cursor, Claude Code, Roocode, Windsurf, and others. The key is selecting tools that match your specific needs and technical requirements rather than just following trends or using whatever seems newest.

This service primarily focuses on planning your approach and selecting the right tools. However, we understand that some clients want implementation support too. For those who prefer not to build themselves, we offer an additional "build your prototype in one sitting" service where we can rapidly implement the prototype we've designed together.

Traditional market research (surveys, focus groups) is good at collecting opinions but often fails to predict actual behavior. Our approach focuses on designing experiments to observe user behavior with minimal investment. Instead of asking "would you use this?", we help you build something small that lets users show you through their actions.

While AI makes implementation easier, it doesn't solve the fundamental challenge of knowing what to build and how to test your assumptions. The biggest risks in product development aren't technical—they're about building something nobody wants. Our service helps you avoid that outcome by focusing on validation first, then selecting the right tools for efficient execution.

Not at all—it's evolving. Rather than creating static mockups, modern prototyping often involves building functional components directly. But the purpose remains the same: validating assumptions with minimal investment. Our approach adapts to this new reality while maintaining focus on what matters most—learning whether your idea has merit before committing significant resources.

A risky assumption is one that, if wrong, would cause your entire project to fail. These are the assumptions that must be validated before investing significant resources. For example, assuming users will pay for your solution or that your technical approach is feasible are typically risky assumptions.

This service is for individuals or organizations unsure of which prototyping tools to use for their next project. This includes entrepreneurs validating new ideas, product teams exploring new features, or organizations navigating the rapidly changing landscape of AI-assisted development tools who want to make informed decisions about their approach.

You'll leave with a clear plan for what to build first, which tools to use, and how to validate your most critical assumptions. This focuses your efforts on the smallest possible experiment that will give you meaningful answers about your product's viability.

The session focuses on designing the right experiment to test your audience's behavior, not just telling you what to build. While I can't predict with certainty if your audience will use your product, I help you:

• Identify what assumption needs testing most urgently
• Design the minimal prototype that will give you real behavioral data (not just opinions)
• Select the right tools to build that prototype efficiently
• Create a clear plan to measure actual usage/engagement