Why do AI answers sometimes seem less useful, even as AI tools keep getting better? Before blaming the AI, it may be time to look at the instructions you gave it. In this episode of Grounding AI, Donna Peterson explains why custom instructions should not be something you set once and forget. Your business changes. Your communication changes. The way you use AI changes. And the AI tools themselves continue to add new capabilities.
Why do AI answers sometimes seem less useful, even as AI tools keep getting better? Before blaming the AI, it may be time to look at the instructions you gave it.
In this episode of Grounding AI, Donna Peterson explains why custom instructions should not be something you set once and forget. Your business changes. Your communication changes. The way you use AI changes. And the AI tools themselves continue to add new capabilities.
Donna shares a practical exercise you can use to review how you've worked with AI over the last 30 days and identify where your custom instructions may need to catch up.
You'll hear how to look for:
Donna also explains why leaders should review permissions and access when AI tools are connected to other applications. The goal isn't to add more AI. It's to make sure the AI you're already using understands how you work today.
A simple place to start: Ask your AI tool to evaluate how you've used it over the last 30 days. What have you repeatedly corrected, added, or asked it to change? Then compare what it finds with your current custom instructions.
If your AI answers aren't as useful as they used to be, the problem may not be the tool. Your instructions may simply need an update.
Grounding AI is a World Innovators podcast for leaders looking for practical ways to use AI to improve communication, build trust, and make better business decisions without losing the human thinking behind the work.