Product prototyping turns a problem or opportunity into something users can inspect or try. A prototype may test workflow, interaction, data needs, feasibility, or demand without implementing every production requirement.
AI coding tools can lower the time and cost of creating prototypes. Teams should label limitations, use representative tests, and avoid mistaking a convincing demonstration for secure, reliable, maintainable production software.
ELI5
Product prototyping builds a smaller working version of an idea so people can learn before investing in the full product. It helps test whether the problem, workflow, and proposed solution make sense.
For example, a knowledge worker can use a coding agent to create a simple recurring-analysis dashboard and try it with sample data. If the idea proves useful, the next stage adds production security, reliability, and maintenance.
