AI Prompt Health Check — Diagnosing Why AI Outputs Go Wrong

I developed the AI Prompt Health Check as a quick diagnostic for people who are using AI but getting vague, inconsistent or frustrating results.

Instead of assuming the AI itself is the problem, the process examines the prompt systematically: what the user is actually trying to achieve, whether enough context has been supplied, how clearly the task is defined, what constraints are missing, and whether the required output has been properly structured.

The Health Check identifies the main causes of poor output and provides practical recommendations for improving the prompt and making the interaction more reliable.

The objective is deliberately simple: diagnose the problem before making the solution more complicated.

This process was developed and internally tested as part of a live 30-day commercial AI experiment. No invented client results or hypothetical savings are presented here.