Output validation
🔍 QA validation checklist
1. Logical consistency
- [ ] Do the cases make sense?
- [ ] Are there contradictions?
2. Real coverage
- [ ] Are critical scenarios missing?
- [ ] Did the AI ignore risks?
3. Business alignment
- [ ] Does it reflect real rules?
- [ ] Or does it invent logic?
4. Data quality
- [ ] Is the data realistic?
- [ ] Does it apply to the domain (insurance, fintech, etc.)?
5. Depth
- [ ] Are they superficial, or truly useful?