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

Experience and soft skils allows us to challenge AI Answers and refine questionning to get the most relaible and usable information

Use iterative prompting refinement and the create formula to get even better results.

Requesting specific sources with outputs has allowed me to cross-reference data and content to ensure it is accurate and from reputable sources.

Always reading for accuracy and iterating on the prompt

Use the RTF or CREATE approach.

Define clearly and precisely what you what the AI to help.

And, the most important, is keep refining the interactions, and evaluate the responses.

When using AI systems, the quality of the output largely depends on how thoughtfully they are used.

To get accurate, relevant, and goal-oriented results from AI, it is important to recognize common problems and apply the right fixes.

1. If responses are vague, the best practice is to give more detailed and explicit instructions. Clear guidance leads to clearer outputs.

2. When responses are not aligned with expectations, using a structured prompt formula (such as RTF or CREATE) helps the AI understand exactly what you want.

3. If the AI is hallucinating or making assumptions, don’t rely on what it infers. Instead, state key facts, constraints, and assumptions explicitly in your prompt.

4. When answers seem outdated, it usually means there isn’t enough context. Providing relevant background information and timeframes helps keep responses accurate.

Ask Ai to share the source of the data being shared to check the authenticity of it before utilizing the information