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

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Sarah Philbrick
PMI Team Member
Director, Learning Design & Development| PMI Asheville, NC, United States

Validating and checking outputs is critical when working with AI systems like Generative AI. Such validation approaches may include establishing clear criteria, implementing strong testing protocols, and continuous refinement.

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

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Anonymous
use of CREATE model
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Anonymous
To ensure AI-generated results are accurate, relevant, and aligned with your goals, follow these practices

- Provide specific, detailed prompts.
– Cross-check responses with credible sources.
– Rephrase and ask follow-up questions for better accuracy.
– Be critical of potential misinterpretations or biases.
– Prefer domain-specific AI for expert topics.
– AI can hallucinate or provide outdated info.
– Avoid sharing sensitive data.
– Keep track of AI advancements and best practices.
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Bhargo Chakraborty Jamshedpur, Jh, India
AI integration can be used thoughtfully, Project Managers can enhance decision-making while maintaining control over quality and alignment. Like..
Define Clear Objectives, Validate and Cross-check, Refine Iteratively, Apply Critical Thinking, Ensure Data Quality.
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Glenn Boettger IT Project Manager| Express Computers Inc Surrey, British Columbia, Canada
We will need to feed specifics about our industry and overall project processes in order for AI to provide adequate responses.
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Anonymous
To ensure AI-generated results are accurate, relevant, and aligned with your goals, be clear and specific in your prompts, refining them as needed. Cross-check information with reliable sources, seek multiple perspectives, and be mindful of potential biases. Stay informed about AI’s capabilities and limitations, using it as a tool rather than the sole decision-maker. Specify the format and depth of responses to suit your needs, and always verify critical insights with expert opinions or up-to-date research. By following these best practices, you can maximize the effectiveness and reliability of AI assistance.
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Pradip Naik Program Manager| MI-GSO|PCUBED (Program Planning Professionals Inc.) Canton, Mi, United States
Most common mistake all users of AI do is treating AI tools as a replacement of Google Search Engine which it isn't.

Be creative in your prompts and use the prompt patterns.
Identify which patterns work best for which kind of problem you are trying to solve.
Keep iterating and challenging the AI tool instead of just accepting initial response.

One best practice I often use to ask a follow-up question to AI tools - 'Did you cover all the required elements/details, or you missed any or anything should be added?' and you will see some creative additional response from these AI tools which most of a human would cover too. "Human-In-The-Loop" is critical!!!
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Kaustubh Joshi Dallas, Tx, United States

To get the best results from AI systems, start with a clear objective. The more specific you are about what you need, the more relevant the response will be. Writing well-structured, detailed prompts also helps—vague questions often lead to vague answers. If you’re working with factual information, always verify AI-generated results with trusted sources, as AI can sometimes produce convincing but incorrect responses.



Iteration is key. If the first response isn’t quite right, refine your prompt and try again. Understanding AI’s limitations is also important—it doesn’t “think” like a human and may introduce bias or errors. Comparing answers from multiple sources can help identify inconsistencies.



Lastly, be mindful of security and ethics. Avoid sharing sensitive information, and consider how AI fits into your workflow without replacing critical human judgment. When used correctly, AI can be a powerful tool, but it should complement, not replace, your expertise.

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Wyramuttu Nirmalarajan Sydney, New South Wales, Australia
It depends on the subject I intend to use AI for. In most cases, I would have previously generated similar outputs without AI, giving me a reasonable understanding—if not expertise—of what the output should look like. Therefore, I would carefully review the AI-generated content to ensure it makes sense to me, checking for accuracy, relevance, and alignment with the original goals. If I lack expertise or experience in the subject, I would seek input from a subject matter expert to review the relevant sections.
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Shashank Kamthekar Panvel, MH, India
While using AI, the prompt should be formed with some of techniques of prompt engineering like CREATE ( Character, Request, Example, Adjustment, Type of Output, Evaluation ). Along with the AI response can be refined with Iterative Prompting Technics.
While using AI, the prompt should be formed with some of techniques of prompt engineering like CREATE ( Character, Request, Example, Adjustment, Type of Output, Evaluation ). Along with the AI response can be refined with Iterative Prompting Technics.
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Michael Farin Project Control Manager/ Claims Analyst| Hawk International Malolos, Bulacan, Philippines
Always verify information with reliable sources and cross-check key details for accuracy. Be mindful of AI hallucinations by critically evaluating results and consulting human expertise when necessary. Providing clear, precise prompts and refining queries iteratively can further enhance the quality and reliability of AI-generated responses.
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