I have been experimenting with a specific question: can an AI independently author the test cases needed to challenge structured business decision logic?
Consider a vendor-screening policy with sanctions rules, country restrictions, personal-data conditions, and risk thresholds. If that policy is converted into executable decision logic, someone still needs to test the difficult boundaries - exactly 70 versus just below 70, whether an embargo-list member is handled correctly, or whether a condition changes when personal data is involved.
In the earlier Judgment Pack evaluator experiments, I gave an independent AI model the policy and asked it to author those kinds of records without seeing the Judgment Pack or the defects that would later be tested.
Before the authoring call, six classes of potential defects had already been committed.
The model authored records that covered all 6 of 6 classes.
