When using AI systems, what are some best practices for ensuring the results you receive are accurate, relevant, and aligned with your original goals?

Break down complex requests into smaller, more manageable prompts if needed.

Provide enough background or context so the AI understands your domain, audience, or constraints.

Use examples to illustrate your expectations when possible.

Don't rely on the first output. Ask follow-up questions or rephrase your prompt for clarification or deeper insights.

Use “chain-of-thought” prompts (e.g., “Walk me through your reasoning”) for more thoughtful responses.

Cross-check factual claims or references against trusted sources.

Use AI to assist with research but verify using authoritative or original materials.

Know that AI may “hallucinate” (generate plausible but false information) and lacks real-time awareness unless connected to current data sources.

Understand that biases from training data may affect results.

Avoid using AI-generated content without disclosure in high-stakes or sensitive contexts.

Respect privacy, copyright, and data handling policies.

Keep a record of your prompts and the AI’s responses, especially in project settings, to trace decision-making and improve future use.