> For the complete documentation index, see [llms.txt](https://docs.wonderchat.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.wonderchat.io/setup-guides/adding-chatbot-workflows/set-up-chatbot-workflows.md). # Set-up Chatbot Workflows In this page, we will show how you can set-up your own workflow for your chatbot. For this example, we will be setting up a simple "Recommend clothes" workflow. 1. To create a Wonderchat workflow, select the chatbot of your choice and click on **Edit Chatbot**\\

Select "edit chatbot" from the dropdown menu

2. Within the edit chatbot menu, click on the **Workflows** tab, and click on **Add New Workflow**\\

3. A new workflow will be added. You can first select the type of trigger for your workflow. Here, we will select the **When AI detects a condition** trigger, and set the trigger when **The user asks what clothes he should wear**

4. Now that we have defined the trigger for the workflow, we can define a series of actions to take. For this workflow, we want to first **Collect the location of the user,** so we can click on **Add your first action** and create a new custom field called **Location**

Create a custom field called **Location**

5. Now, lets call add an API action to get the weather of the user based on the location that they have given.

Add a **Get Weather API** call under **Integrations** from **Add Action**

6. Finally, we can recommend the user some clothes they can wear based on the weather of the location they are in by adding an **AI Chatbot response action**

Add a **Chatbot Response** action that is based on an **AI Prompt**

7. Now that we have created our workflow, we can test it out by clicking **Save** and asking the chatbot a question that will trigger the workflow in the chatbot preview on the right. Alternatively, you can click on the **Play** button of each workflow to preview the workflow without manually typing in something to trigger it