A polished AI response can still be wrong. Self-validation adds a checking step by asking the model to verify, cross-check, or justify its own answer. section 3.2
Use a direct instruction such as “Provide your answer and explain why it makes sense.” The request encourages reflection, making the response more transparent and potentially more accurate. Self-validation can accompany task breakdown and chain-of-thought prompting. section 3.2
Checking an energy-drink tagline
Instead of accepting a generic tagline such as “Stay energized!”, ask the LLM to generate alternatives and justify why its recommendation makes sense. The explanation gives you an additional basis for reviewing the creative response rather than accepting it at face value. section 3.2
