Sequential Thinking Improves AI Prompt Responses

Today’s video will help you get much better responses from your AI. And I’m using something today called sequential thinking. And I’m going to show you the same prompt used in two different scenarios. So the first is without using sequential thinking. And here’s my prompt. I’m asking the AI to give me a risk analysis for transitioning to a cloud-based customer management system. Now, the response is okay. It gives me some prior and higher risks. And then it shows me a little bit of information that it considered along the way. However, here’s the exact same prompt this time with sequential thinking. And you’ll notice that what it’s done is it’s actually strung together a whole series of different prompts. So it’s identified the main risk categories. And then for each of those risk categories, it’s gone and done an assessment of those risks in detail. And it’s only when it got to the end that it then considered putting together a priority assessment for me. You can see that we’ve got a lot more detail in the response. And with my priority risk results, it’s showing me an impact level and a probability level for each of these also. Now, what you’re seeing here is unique to plaud and it’s using a functionality called MCP servers, which allows you to add on extra functionality that the language model wouldn’t be able to do on its own. The sequential thinking add-on breaks your initial query down into small chunks and attempts to assess each of those chunks and then brings it all back together to give you a better response. If you’re interested in setting this up, let me know.