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

To get accurate, relevant results from AI, I start with a clear, well-structured prompt, using formulas like RTF or CREATE to define the role, the task, any constraints and the output format I need. I give the AI enough project context, but never share confidential or proprietary data. For complex work, I use prompt chaining, breaking the task into steps and keeping the same role and context throughout, so the output stays aligned with my original goal. I always verify the results against trusted sources or expert input, because AI can hallucinate. I review key outputs with my team to catch blind spots, and I test new AI uses with anonymized or synthetic data before relying on them. Finally, I refine my prompts based on what works. AI supports my judgement, but the decisions and accountability remain with me.

The user needs to give good prompts and to be able to do that the user itself needs to have basic knowledge or the request to identify any inaccuracy

The user needs to give good prompts and to be able to do that the user itself needs to have basic knowledge or the request to identify any inaccuracy