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

Be Precise in terms of your inputs and ensure the check of outputs as AI gives vast output where you have to select the right information.

Provide a clear objective, with outcome you desire, who it is for and how it will be used. Provide context like you would to a human, giving background information, constraints and what has been done and what needs to be done. Use formulas like RTF or CREATE for specificity and expectations. Ask the LLM for analysis to back up its answers and reasoning. Always iterate to get the most consise outcome from the LLM.

Using AI effectively comes down to being clear, thoughtful, and a bit skeptical. I always start with a clear goal and give enough context so the output is actually useful. I don’t take responses at face value - important information needs a quick validation.

I also refine my prompts as I go, because the first answer is rarely the best. Most importantly, I check if the output truly supports the objective, not just sounds good.

In the end, AI works best when it’s guided by clear thinking and backed by human judgment.

It would require the Data Relevance and Quality , guided by structured and detailed prompt mainly.

Provide detailed, refined, and structural information.

Be as precise as possible!