Director, Learning Design & Development| PMIAsheville, 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?
Alexandra DiakiteChief strategy and organizational innovation| EffectiveHorizonsVendargues, France
I would recommend systematically asking for sources or references, just to ensure that output doe not come form different and non relevant areas for instances. Giving example is also something that may help. But for the community, I am wondering, whether we could ask the AI to demonstrate (on a reverse pattern) that its answer actually address our request properly... I would be happy to have your thoughts
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1 reply by Tonya Edwards
Nov 04, 2025 8:51 PM
Tonya Edwards
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Be Clear & Specific - Define your goal and provide detailed prompts with context, tone, and format.
Iterate & Refine -Treat the AI like a collaborator, review, revise, and guide it toward better results.
Verify Facts- Always fact-check important or time-sensitive information from trusted sources.
Align with Your Style-Share examples or preferences to match your voice and values.
Stay Ethical & Aware-Use quality data, watch for bias, and consider the impact of AI-generated content.
h3 /h3
Saving Changes...
Tonya EdwardsSR. IT PMO Team Lead| BlueScope North AmericaMurfreesboro, Tn, United States
Nov 04, 2025 12:54 PM
Replying to Alexandra Diakite
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I would recommend systematically asking for sources or references, just to ensure that output doe not come form different and non relevant areas for instances. Giving example is also something that may help. But for the community, I am wondering, whether we could ask the AI to demonstrate (on a reverse pattern) that its answer actually address our request properly... I would be happy to have your thoughts
Be Clear & Specific - Define your goal and provide detailed prompts with context, tone, and format.
Iterate & Refine -Treat the AI like a collaborator, review, revise, and guide it toward better results.
Verify Facts- Always fact-check important or time-sensitive information from trusted sources.
Align with Your Style-Share examples or preferences to match your voice and values.
Stay Ethical & Aware-Use quality data, watch for bias, and consider the impact of AI-generated content.
Use the persona pattern to input your data initially, Adjust and refine your prompt based on the LLM response Iterate until the responses align with your organization and project needs. Saving Changes...
First, we need to check the information's source on websites, articles, and other sources provided by the AI. Constant verification of the output also plays a vital role in ensuring that the expected results are achieved. This leads to maintaining focus on the objectives created. Saving Changes...
My two cents. Precise requests that are clear and provide examples of the outputs and formats, and lost of adjustments when reviewing the responses. Saving Changes...
Giving context is very important Saving Changes...
Roger BeaumontIndustrial Digital Transformation & Data Governance | Master Data (MDM)| rogerbeaumont.netBarcelona, Spain, Spain
Besides the prompt forumlas suggested by PMI (RFT, CREATE, SMART), I ask the same question to two AI chats, and sometimes confront the answers between them, and in some cases, I go to a third AI chat to assure what is the best answer . Saving Changes...
To ensure AI results are accurate, relevant, and aligned with your goals, define clear objectives before using the system, craft precise and contextual prompts, and validate outputs against reliable data or expert knowledge. Always iterate by refining prompts based on results, and apply critical thinking to verify consistency, logic, and source credibility.
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