A prototype tests an idea or interaction. A production release must also handle real data, access, failures, and ongoing operation within an agreed scope.
Prepared with AI assistance. These are practical scoping recommendations; examples are illustrative, not client results.
Identify what the prototype proves
A clickable screen can validate whether users understand a task. A technical spike can test one integration. Neither automatically proves the entire system is ready. Label what was simulated, hardcoded, or omitted so stakeholders do not infer capabilities that the exercise was never designed to demonstrate.
List the operational gaps
Ask about authentication, record persistence, permissions, error handling, backups, monitoring, and support where relevant. The exact requirements depend on the workflow. A prototype may deliberately omit these concerns; the important step is to make the remaining work explicit before estimating or announcing a launch.
Retest with realistic conditions
Replace demonstration assumptions with representative records and roles. Include interrupted actions and invalid input. Verify that the application tells users the truth about what was saved or completed. A screen that appears successful is insufficient when the business action behind it has not been confirmed.
Define the next milestone
Decide whether the prototype should be refined, discarded, or used as a starting point after engineering review. Do not assume all prototype code is suitable for production. The next commitment should describe a usable workflow and its operating requirements, rather than simply asking the team to make the demo live.