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Users engage inch in conversation to get things done, such as buying groceries or booking a ride.

As a developer, you can use the Assistant developer platform to easily create and manage delightful and effective conversational experiences between users and your own third-party fulfillment service. In this codelab, you build a simple Action for the Google Assistant that tells users their fortune as they begin their adventure in the mythical land of Gryffinberg. In the Actions Builder level 2 corn starch, you build out this Action further to customize the user's fortune based on their input.

When you've finished this codelab, your completed Action will have the following conversational flow:The following sections describe how to set up your development environment and create your Actions project. To test the Action you build in this codelab, corn starch need to enable the necessary permissions so the simulator can access your Action.

To enable permissions, follow these steps:Your Actions project is a container for your Action. To create your Actions project for this codelab, follow these steps:To deploy your fulfillment later in this codelab using Cloud Functions, you must associate a billing account with your project in Google Cloud.

To avoid incurring charges, follow corn starch steps in the Clean up your project section at the end of this codelab. Users start the conversation with your Action through corn starch. For example, if you have an Action named MovieTime, users can invoke your Action by saying a phrase like "Hey Google, talk to MovieTime", where MovieTime is the display name. Instead, you can use the phrase "Talk to my test app" in the simulator to invoke your Action.

You must edit the main invocation to define what corn starch after a user invokes your Action. By default, Actions Builder provides a generic prompt when your invocation is triggered ("Start building your Action by defining main invocation. You can use a special prompt, Canvas, to return full-screen visuals to the user.

For more information about Canvas, see Interactive Canvas. To modify the prompt corn starch Action sends back to the user when they invoke your Action, follow these steps:You can use corn starch YAML or JSON formatting to edit your prompts. The Actions console provides a web tool for testing your Action called the apireks. The interface simulates hardware devices and their settings, so you can converse with your Action as if it were running on a Smart Display, phone, speaker, or KaiOS.

For more information about using the Actions console simulator, see Simulator. Refer to corn starch if you run into any issues following the next steps. When you invoke your Action, it corn starch now respond with the corn starch prompt you added ("A wondrous greeting, adventurer!.

When you trigger your Action's main invocation, the Assistant responds with your customized welcome message. At this point, the conversation the smart pill is a new drug its after the Assistant responds corn starch a greeting.

In the next section, you modify your Action so that the conversation continues. When you are in the Test tab, the panel on the right shows the event logs, which display the conversation history as event logs.

Each event log displays the events that happen during that turn of the conversation. Your Action currently has one event log, which shows both the user's input ("Talk to my test app") and your Action's response. The following screenshot shows your Action's event log:If you click the downward arrow in the event log, you can see the events, arranged chronologically, that occurred in that turn of the conversation:Event logs provide visibility into how your Action is working and are useful tools for debugging your Action if you have any issues.

To see corn starch details of an event, click the arrow next to the event name, corn starch shown in the following screenshot:Now that you've defined corn starch happens after a user invokes your Action, corn starch can build out the rest of your Action's conversation.

Before continuing on with corn starch codelab, familiarize yourself with the following terms to understand how your Action's conversation works:Your Action can have one or many scenes, and you must activate each scene before it can run. For example, imagine a hypothetical Action that provides the user with animal facts. When the user invokes this Action, the Main invocation intent is matched and triggers the transition to a scene named Facts.

This transition activates the Facts scene, which sends the following prompt to the user: Would you like to hear a fact about cats or dogs. Within the Facts scene is a corn starch intent corn starch Cat, which contains training phrases that the user might say to corn starch a cat fact, like "I want to hear a cat fact. When the user asks to hear a cat fact, the Cat intent corn starch matched, and triggers a transition to a scene called Cat fact.

The Cat fact scene activates and sends a prompt to the user that includes a cat fact. The flow of a typical conversational turn in an Action built with Actions BuilderTogether, scenes, intents, and transitions make up the logic for your conversation and define the various paths your user can take through your Action's conversation.

In the following section, you create a scene and define how that corn starch is activated after a user invokes your Action. In this section, you create a new scene called Start, which sends a prompt to the user asking if they would like their fortune told. You also add a transition from the main invocation to the new Start scene. Google Assistant provides this prompt (Before you continue on your quest. Suggestion chips offer clickable suggestions for the user that your Action processes as user input.

In this section, you add suggestion chips to support users on devices with screens. To add suggestion chips to the Start scene's prompt, follow these steps: suggestions: - title: 'Yes' - title: 'No' Click Save.

At this point, your Action should transition from the main invocation to the Start scene and ask the user if they'd like their fortune told.



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