Build a Google Assistant App with DialogFlow

Having a better understanding of the Welcome and Fallback intents in DialogFlow

11/20/2018

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Ending your DialogFlow conversation

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Making your DialogFlow action smarter by editing the training phrases from the users usage

About

As shown before, the welcome intent and fallback intent are created as default when you start the DialogFlow action project.
The welcome intent is triggered by the welcome event, so it will be called everytime your action is initialized.
The fallback intent is triggered when no intent is mapped to the phrase the user provided.

Summary of content

Customizing the Welcome intent
Customizing the fallback intent
Testing the intents with the simulator

References

Intents
DialogFlow
Actions on Google

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Lessons in Build a Google Assistant App with DialogFlow

Introduction to Actions on Google and using the Google Assistant

DialogFlow and the other available options of actions on Google

Creating an Google Assistant Action with DialogFlow

Creating your first DialogFlow Intent

Creating Dialog Follow up intents

Using the DialogFlow System Entities

Creating your first DialogFlow entity

Making your DialogFlow action smarter by editing the training phrases from the users usage

Having a better understanding of the Welcome and Fallback intents in DialogFlow

Ending your DialogFlow conversation

Create a DialogFlow agent fulfillment webhook using the Inline Editor

Deploying a DialogFlow fulfilment cloud function using the Firebase client

Adding JavaScript code to Firebase CloudFunction for your DialogFlow action

Creating a simple response to the user in JavaScript with Firebase Cloud Functions and DialogFlow

Creating a BasicCard UI element response with Firebase Cloud Functions and DialogFlow

Creating a Carousel of items UI element response with Firebase Cloud Functions and DialogFlow

Playing a media object to the user with a Firebase Cloud Function using DialogFlow

Playing media object and customising the Google's assistant voice using Speech Synthesis Markup Language on DialogFlow

Accessing users restricted data by requesting permission using Firebase Cloud Function and DialogFlow

Storing users data in the users storage using Firebase Cloud Functions and DialogFlow

Reading the stored data in the user storage using Firebase Cloud Functions and DialogFlow

Detecting, interacting and sending conversations between surfaces using Firebase Cloud Functions and DialogFlow

Debugging and fixing bugs in your Firebase Cloud Function

Deploying your Google Assistant Action to testing or production