AI-native software studio — Melbourne
02 / Practical example
Example / assessing an AI-generated prototype

From a promising prototype to evidence the business can trust.

A leader has already generated a prototype. It looks convincing, but nobody yet knows whether it handles the real rules, data, exceptions, ownership or path to production.

Example / assessing an AI-generated prototypeHover or focus to clarify

A leader has already generated a prototype. It looks convincing, but nobody yet knows whether it handles the real rules, data, exceptions, ownership or path to production.

Before— A polished demo hides unanswered risk— Business rules are only partly represented— Readiness is judged by appearance
FIRSTPROOF
After the first useful version The critical workflow is tested end to end Limits, data paths and gaps are explicit The next investment rests on evidence
Business outcomeKeep what is sound, replace what is not, and make a next decision without starting blindly again.