Just as people make mistakes in complex and adaptive systems, AI is not infallible—it will generate incorrect, misleading, or incomplete responses. Instead of expecting perfection, focus on continuous learning and improvement. AI errors are opportunities to refine queries, verify information, and engage in critical thinking. Just as we improve human performance by learning from mistakes, we can enhance AI interactions by iterating knowledge.

If AI provides an inaccurate or unhelpful response, the focus should be on improving the prompt or refining the inquiry rather than blaming the tool, ask, "How can I rephrase this to get a more useful answer?"

The effectiveness of AI responses depends on the context of the instruction and body of knowledge provided, including ethical use, privacy, copyright, misunformation and hallunication. The richer the context, the more tailored and useful the response. Be curious and ask Better Questions, just as you would with a human colleague to drive better behavior.

If AI misinterprets a query, recognize it as an opportunity to refine and improve the interaction. Small experimentations “AI Trojan Mouse” and iteration with prompts can enhance learning and improve response accuracy and reduce the presence of hallucinations, misinterpretation and representation of information.