What to provide
Ten normal examples, five edge cases, expected answers, and a named workflow owner.
Starting prompt
For each test case, compare the GPT response with the expected answer. Record source support, missed exceptions, and whether a human would need to correct it before use.
Trial case
Run a normal request, a missing-data request, and a request outside the GPT's scope. Approval requires a correct result, a visible uncertainty, and a safe refusal or handoff respectively.
Review gate
The owner approves deployment only when critical errors are resolved and staff know how to report failures.
How to score the result
Critical error count and percentage of outputs accepted after human review.
Use the current approved source and keep it available to the reviewer. Check a small set of finished outputs against the previous process before adopting this workflow.
Related workflows
Explore Custom GPTs for Repeatable Business Tasks or the AI business strategy guide.