Prototype Generation

Teams use generative AI to create and test early product concepts before building physical or production-ready prototypes.

Business impact

• Time to working prototype — NVIDIA reports about 3–5 days to create a working prototype instead of an estimated 2–3 weeks.
• Playground sessions — Expedia recorded more than 10,000 sessions in its internal generative-AI playground.
• AI agents created — Expedia employees created nearly 200 AI agents.

Data requirements

• Product ideas and design inputs (text) — Teams provide prompts or concept descriptions for generation.
• Generated prototype outputs (text) — The system produces draft language, code, or concept material for review.

AI methods and techniques

• Generation — The system creates draft prototype concepts, package-design variants, or early code.
• Iteration — Teams use AI output as a starting point for repeated refinement.
• Debugging support — AI assists with fixing problems in prototype code during development.
• Experimentation — Employees test ideas inside a secure playground before wider use.

AI models and model families

large language models, generative AI

Industries

Real-world evidence

3 documented case studies on record.

Companies using this: Expedia, General Mills, NVIDIA.