Hello folks, it's Y Gan, welcome back to my channel. Today we have another discussion about ChatGPT and AI, and how helpful they are in our professional business analyst life. In my previous video, I already talked about ChatGPT and its proven use cases that were very helpful.

In my experience, in the same video, I talked about how ChatGPT is very limited on diagramming, and that's still true. When you ask ChatGPT for a diagram, it provides usually great descriptions in words, and if you ask for the picture, it gives you this yeah thanks, no, I won't be taking that. So for now, ChatGPT is very limited to produce the result you need right there in the chat. My gears started turning, and I thought maybe there is a way to somehow convert the text into the

code which will be interpreted by some tool, and I will get the actual diagram. Maybe you guessed already that at this moment, I remembered about PlantUML. PlantUML is a syntax which allows you to basically write some text in a specified format. You then put this text into a PlantUML reader, and you get an actual diagram. PlantUML supports all kinds of UML diagrams: sequence, class, use case, and others. So when I remembered about PlantUML, I thought that maybe ChatGPT could provide me with the response in that format, and we will try that together. Let's pretend

that we will have a call with a client soon. Our first call about the project, about a business idea, and all we know is that it's a task tracking application. As business analysts, we want to prepare for this meeting, and we would like to create a list of use cases and maybe a diagram.

so let's dive into that what we want to do is to ask ChatGPT to generate a list of 10 most common use cases for a task tracker application for personal productivity now we have a beautiful list of use cases and we need to make a

diagram out of them so we prompt ChatGPT to do that for us now that we have this beautiful piece of code in PlantUML we can actually use it and copy paste into the system that can read the PlantUML now I use Miro so we

will use that so to copy it to Miro we copy it here cool we go to Miro boards uh you find the PlantUML application that you actually need to to install first we open this beautiful code editor we paste what we created and we have this

yeah the result generated by ChatGPT this PlantUML format it's not always ideal sometimes you need to edit it and actually most of the time you need to edit it but what you can do to increase the efficiency of the output is actually to use the reference by PlantUML you can

go to the official website of PlantUML and find this file download it it's a 600 page reference and you can input it into the ChatGPT ask it to learn from the reference and create a new diagram based on it believe me the results become much

better right away as I mentioned before it also works for other types of UML diagrams so let's try a couple of them to see how it works for example let's work with the class diagram a class diagram or a domain model how we call it

as well is used when we need to discuss uh key entities of the system, attributes, mean functions, and we do that almost all the time in my experience when we start the project, right? So we have this discussion with domain experts and we're trying to find the common ground, so

let's pretend we have this discussion with the client and after the discussion we need to generate the model to confirm elicitation results. You can prompt ChatGPT to create a UML class diagram based on the information you have. Again, you have your results which you can copy, go

to Miro, call the UML code editor, and boom, you have an actual class diagram for the system. Now let's try one more example of a diagram and proceed with a sequence diagram. I love it and I use it all the time, and especially I love how a sequence diagram

greatly works for the login feature. So let's describe it with PlantUML. So here you can prompt ChatGPT to create a complex, maybe two-factor authentication for your website. And again, copy the PST here and boom, you get another example, another beautiful diagram that

you can reuse. Of course, you will need to probably fix it a bit, but you can see how it works with sequence as well. This is how it works in Miro. Of course, there are more tools on the market that read PlantUML format. Most of those

readers are not user friendly, so I'm not suggesting to use them. There is also Lucid charts that can read PlantUML, but it is included into paid features. So the only one that I know that works with PlantUML for free, like Miro does, is

diagrams.net or Xdraw, so to make a diagram in diagrams.net, you copy the codes, you go to diagrams.net, you go to Arrange, Insert, Advanced, and plant UML. You remove what's here, paste your code, and yep, you

have the same result right here. You can uh edit it as a diagram. So you need to get back to UML, but it works great as well, but UML is not the only format that ChatGPT can generate. There is also another one, which is called Mermaid, to

use it. You can simply prompt ChatGPT to regenerate the same UML response into Mermaid format. You can copy the result, go to Mermaid format in Miro, paste the result, and add it to the board. As you see, you get pretty much the same result as

you've got with UML. To work with diagrams.net, do the same, go to Insert, Advanced, Mermaid, paste the code, and insert. What is great with diagrams.net, that it works with Mermaid, not as with an image, so you can actually modify it as a

diagram, and that's it. Today, we learned how to make diagrams with ChatGPT, how to convert them into UML or Mermaid formats, and then how to import them for visualization into Miro or diagrams.net. Jump into comments and share if you knew about this method before, and how it

worked for you. And if you didn't, do you think it's going to be useful for you or not? Also, if you like this video, don't be shy to subscribe, like this video, and maybe check other content on my channel, because there is many things to do there.

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UML Diagrams with Chat GPT | Use Case, Class, Sequence [2024 Tutorial]

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