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?
It is an oportunity to give context, to inquire, to dailog, to be more specific, to ask points of view, to iterate and ask for format the output till you find the best answer. Saving Changes...
Antonio GalanCountry Manager| AYESAQuito, Pichinca, Ecuador
I use the "double path pattern". Let's see it with an example. I ask it to generate a description of a technical solution that I want to include in my offer to a client to describe what I want to develop and to be sure that this client actually knows what I'm offering him/her. Then, with this output I send it to my LLM and ask it to suppose that is a client with no much knowledge of technical stuff and ask it to improve the description Saving Changes...
Antonio GalanCountry Manager| AYESAQuito, Pichinca, Ecuador
I use the "double path pattern". Let's see it with an example. I ask it to generate a description of a technical solution that I want to include in my offer to a client to describe what I want to develop and to be sure that this client actually knows what I'm offering him/her. Then, with this output I send it to my LLM and ask it to suppose that is a client with no much knowledge of technical stuff and ask it to improve the description Saving Changes...
AI is incredibly powerful for generating ideas, synthesizing information, and creating first drafts. But your value as a PM lies in your ability to validate, contextualize, and strategically apply those outputs within your unique organizational reality.
The PMs who succeed with AI won't be the ones who trust it blindly - they'll be the ones who develop sophisticated frameworks for making AI outputs truly valuable to their stakeholders.
AI is incredibly powerful for generating ideas, synthesizing information, and creating first drafts. But your value as a PM lies in your ability to validate, contextualize, and strategically apply those outputs within your unique organizational reality.
The PMs who succeed with AI won't be the ones who trust it blindly - they'll be the ones who develop sophisticated frameworks for making AI outputs truly valuable to their stakeholders.
To get accurate and relevant AI results, it’s crucial to start with clear, specific prompts aligned to your goals. Always validate AI outputs with reliable sources and apply your own critical thinking—AI should assist, not replace, human judgment. Iterative refining of questions and combining AI insights with domain expertise help ensure alignment and usefulness. Saving Changes...
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