When generative AI produces generic or " vague " summaries, it is often because it lacks the specific context of the meeting. " Prompt engineering and contextual anchoring " involve providing the AI with clear instructions (e.g., " focus on control exceptions " ) and anchoring the request in specific data (e.g., " refer only to the attached meeting transcript " ). According to ISACA, this technique directs the model ' s attention and reduces the likelihood of hallucinations or omissions. Increasing " temperature " (Option A) would actually make the model more random and less reliable. Anchoring ensures the AI stays grounded in the actual facts of the audit walkthrough.