Workflow Activities

Last updated May 16, 2025

Creating and displaying an AI summary callout

This tutorial guides you in creating a callout that shows an AI summary of user-selected information within a web application. Check the following sequence of actions presented in this tutorial:

Begin by launching the Windy.com website.
Once the Windy logo appears, we display a callout with user instructions.
When the website search bar appears, another callout prompts you to search for their desired location to check the weather.
After performing the search request, the displayed weather results from the website serve as the content for generating an AI summary.
This summary suggests a day with optimal weather for walking.
The callout displays for 30 seconds, after which the callout is closed and all triggers are deactivated.

Prerequisites

This example was created using these activity packages and versions:

UiPath.Callout.Activities 25.2.0
UiPath.IntegrationService.Activities 25.2.1
UiPath.System.Activities 25.2.1
UiPath.UIAutomationActivities 25.2.1-preview

Steps

Open your Studio project, and go to the Main workflow.
1. Add a Use Application/Browser activity, and enter https://www.windy.com/ in the Browser URL field.
2. Add a Run Local Triggers activity.
  This enables all trigger workflows, and allows them to run when their triggering event occurs.
Create an uiform file for the initial callout, which prompts you to follow further instructions as soon as the Windy logo appears.
1. In your Studio project, from the New dropdown menu, select Form to create a new form.
  The form file is used here as a callout.
2. Name the callout as Basic callout.
3. In the Components panel, expand the Basic section, and drag three Label/Header components into the callout file. Edit the components as follows:
  1. For the first component, enter the following text in the Content field: "Welcome to Windy.com!".
  2. For the second component, enter the following message in the Content field: "Please follow the instruction on the screen to learn which day will be best for a nice walk."
  3. For the third component, go to the Field Key tab, and change the Property Name to aiSummary.
    Leave this component's Content field empty, as it will be dynamically populated with the AI-generated summary at runtime.
4. Save the callout file.
Create a new workflow named Show Basic Callout, and add an Application Event Trigger activity.
This workflow shows the callout that welcomes you to Windy.com, and the callout where we will display the AI summary.
1. Select Indicate target on screen, and indicate the UI element for the automation to start monitoring.
  For this example, we indicate the Windy logo, that we want to monitor.
2. From the Event type dropdown list, select Appeared.
3. Add a Show Callout activity.
  This activity allows you to select a uiform file, that you can display to a certain UI element, as well as pass data to the uiform file, using an Arguments dictionary.
  1. From the Select Form dropdown list, select the callout file you previously created.
    For this example, we selected Basic callout.
  2. For the UI Element field, enter the UI element indicated for the Application Event Trigger activity, which is the Windy logo, to which we want to bind the callout.
    To access that target element, use the TriggerEventArgs.TargetElement expression. TriggerEventArgs is an argument here, that is automatically generated when adding a trigger activity into your workflow. In this case, the Application Event Trigger activity generates the argument.
Create an uiform file for the callout that appears when the website's search bar becomes visible, and prompts you to search for their desired location.
1. In your Studio project, from the New dropdown menu, select Form to create a new form.
  The form file is used here as a callout.
2. Name the callout as Please search for your desired location.
3. In the Components panel, expand the Basic section, and a Label/Header component into the callout file.
4. Save the component and the file.
Create a new workflow named Please search for the desired location, and add an Application Event Trigger activity.
This workflow shows the callout that requests you to search for their location where they want to find weather information.
1. Select Indicate target on screen, and indicate the UI element for the automation to start monitoring.
  For this example, we indicate the Windy search bar, that we want to monitor.
2. From the Event type dropdown list, select Appeared.
3. Add a Delay activity, and set its Duration to three seconds, so you have enough time to read to first read the welcoming callout, and then check the one that appears next to the search bar.
4. Add a Show Callout activity.
  This activity allows you to select a uiform file, that you can display to a certain UI element, as well as pass data to the uiform file, using an Arguments dictionary.
  1. From the Select Form dropdown list, select the callout file you previously created.
    For this example, we selected Basic callout.
  2. For the UI Element field, enter the UI element indicated for the Application Event Trigger activity, which is the Windy logo, to which we want to bind the callout.
    To access that target element, use the TriggerEventArgs.TargetElement expression. TriggerEventArgs is an argument here, that is automatically generated when adding a trigger activity into your workflow. In this case, the Application Event Trigger activity generates the argument.
  3. Open the Arguments dictionary, and in the Value field of the generated key, enter the text that you want to display.
    For this example, we show the following text: "Please search for your desired location and select it from the list".
Create a new workflow named Fetch and deliver AI Weather Summary.
This workflow starts generating an AI summary of the best day for having a walk outside, based on the weather results that appear for the location you previously searched.
1. Add an Application Event Trigger activity.
  1. Select Indicate target on screen, and indicate the UI element for the automation to start monitoring.
    For this example, we indicate the Windy weather results, that we want to monitor.
  2. From the Event type dropdown list, select Appeared.
2. Add a Close Form activity, to close the callout that requested you to search for a desired location.
3. From the Select Form dropdown list, select the Please search for your desired location callout.
4. Add a Set Form Values activity, to update the original Basic Callout with information about process of generating the AI summary.
5. Add a Use Application/Browser activity to attach to the Windy browser window and extract the weather information. In the Browser URL field, enter https://www.windy.com.
6. In the Do block, perform the following actions:
  1. Add an Extract Table Data activity.
    1. Select Indicate target on screen and select the weather results.
    2. Create an output variable for the Extract to field.
      In this example, we named it extractedWeatherDetails.
  2. Add an Output Data Table activity.
    1. Enter the previously created variable (extractedWeatherDetails), that holds the weather data, into the Data Table field.
    2. Create an output variable for the Text field. In this example, we named it weatherData.
  3. Add a Set Form Values activity to display information that should update you about the state of the analyzing process.
    1. From the Select Form dropdown list, select the Basic callout form
    2. In the Arguments dictionary, enter the following value for the aiSummary argument: "...analyzing weather data...".
  4. Add a Content Generation activity to generate the AI summary.
    1. Inside the body of the activity, select Add new connection to create a connection to UiPath GenAI Activities, which allows the activity to execute.
    2. From the Model name dropdown list, choose the desired AI model.
    3. In the Prompt field, enter the result variable from the Output Data Table activity. In this example, input weatherData.
    4. In the System prompt field, enter the instructions for the AI model to use for generating a summary based on the provided weather data. In this example, we used the following prompt:
      "You will be given a set of data in the following format: Day, hour, missingiconfortheweahter, temperature, rain, wind, wind gusts, last one can be ignored. Please let me know which day will have the best weather for a nice walk. In your output, please stick to the short recommendation and a reason, without any details of your specific analysis".
    5. Create an output variable for the Top generated text field. In this example, we named it as topGeneratedText.
  5. Add another Set Form Values activity to display the AI-generated summary.
    1. From the Select Form dropdown list, select the Basic callout form.
    2. In the Arguments dictionary, enter the following expression, containing the output of the Content Generation activity, and information about the callout state: "topGeneratedText + Environment.NewLine + "This callout will close in 30 seconds.".
  6. Add a Delay activity, and set it to 30 seconds.
  7. Add a Close Form activity, and from the Select Form dropdown list, choose Basic callout.
  8. Add a Stop Local Triggers activity, to stop the execution of all trigger workflows.
    This activity is especially important if your project consists solely of trigger workflows. Without incorporating this activity, the triggers will persistently run in a continuous loop without stopping.

Result

The automation opens the Windy website, and triggers the Show basic callout workflow once the logo appears. When the search bar is displayed, the Please search for your location workflow starts running, requesting you to search for the desired location for which they want to find information about the weather. When weather results are displayed, the Fetch and deliver AI Weather Summary workflow starts running, retrieving the weather results, and sending them as part of a prompt to an AI model, that will later be displayed back into the same form. After the AI summary is displayed, the form is closed after 30 seconds. This description of the runtime process is visualized in the following animated image:

Figure 1. Callout displaying AI-generated summary