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

Agree to keep it simple if you are new using Gen AI. Think of what you want to achieve and how the result should look like. Start small, look at the outcome and add some more context. Check and review it again etc, etc.

Use it like a continuous improvement process and check the outcome. Get the right (technical) people to verify your outcome.

Be specific, validate the answers and tailor with your iterations until the result is desired

To my mind, using RTF or CREATE formula for PROMPT creation are the best practices

To ensure AI outputs are accurate, relevant, and aligned with your goals, begin by clearly defining your objective, constraints, audience, and desired format so the system understands the intended outcome. Avoid vague prompts; instead, provide specific context and criteria for evaluation. Ask the system to state its assumptions, identify potential uncertainties, and distinguish facts from interpretation to reduce hidden inferences and overconfidence. When accuracy matters, request sources or independently verify key claims, especially for time-sensitive, technical, legal, or financial topics. Iteratively refine responses by clarifying ambiguities, correcting misunderstandings, and narrowing scope, treating AI as a collaborative draft generator rather than a final authority. Finally, apply critical thinking; cross-check important conclusions, watch for overly confident language without evidence, and ensure the output aligns with your original intent before relying on it for decisions.

Be precise and specific in your instructions. Run test case against known responses. Consult subject matter and project experts. Update with new information and data. Provide constraints round data and information to be considered.

We need to provide correct prompt

be as specific as possible