To test the interaction between physical buttons and the on-screen UI, the designer used a simple, reprogrammable keyboard from Etsy. The OS recognizes it as a standard keyboard, allowing for rapid, low-cost simulation of custom hardware controls directly within a Figma prototype.

A product manager's casual comment to an engineer about combining parts led to the engineer building a functional prototype overnight using existing components and a 3D printer. This tangible model quickly gained executive attention and became the basis for a formal project, bypassing typical ideation hurdles.

Instead of starting with a blank slate, Nike's team prototypes new ideas by physically cutting and modifying existing products. This "cobbling" method enables rapid, low-cost testing of core concepts before investing in new designs and expensive molds, allowing them to fail fast and forward.

Solgaard's founder Adrian Solgaard prototypes new physical products using simple materials like cardboard and duct tape. This "make it work, then make it good" approach, rooted in Scandinavian design, prioritizes function over form in the early stages, making innovation less intimidating.

At OpenAI, the development cycle is accelerated by a practice called "vibe coding." Designers and PMs build functional prototypes directly with AI tools like Codex. This visual, interactive method is often faster and more effective for communicating ideas than writing traditional product specifications.

Boom Supersonic accelerates development by manufacturing its own parts. This shrinks the iteration cycle for a component like a turbine blade from 6-9 months (via an external supplier) to just 24 hours. This rapid feedback loop liberates engineers from "analysis paralysis" and allows them to move faster.

Unconventional AI operates as a "practical research lab" by explicitly deferring manufacturing constraints during initial innovation. The focus is purely on establishing "existence proofs" for new ideas, preventing premature optimization from killing potentially transformative but difficult-to-build concepts.

Moving from a science-focused research phase to building physical technology demonstrators is critical. The sooner a deep tech company does this, the faster it uncovers new real-world challenges, creates tangible proof for investors and customers, and fosters a culture of building, not just researching.

Anduril prototypes drone frames by milling them from solid metal blocks. While extremely wasteful and expensive for mass production, this method bypasses the slow and costly process of creating molds for casting, drastically reducing latency during the critical iterative design phase and getting products to market faster.