Conversational Experience

Links

Dialogflow

Dialogflow basics https://cloud.google.com/dialogflow/docs/basics

APIs & references https://cloud.google.com/dialogflow/docs/reference

Dialogflow: Python Client https://github.com/googleapis/dialogflow-python-client-v2

Actions

Actions on Google Glossary https://developers.google.com/assistant/actions/glossary

Conversational Actions https://developers.google.com/assistant/conversational/overview

Build fulfillment with the Actions on Google Node.js client library https://developers.google.com/assistant/actions/reference/nodejsv2/overview

Account Linking

Account Linking https://developers.google.com/assistant/identity
Design Guidelines for Account Linking https://designguidelines.withgoogle.com/conversation/building-blocks/account-linking.html
Choose your account linking type https://developers.google.com/assistant/identity/choose-type
Build Actions for the Google Assistant (Level 1) https://codelabs.developers.google.com/codelabs/actions-1/#0
Best practices https://developers.google.com/assistant/identity/best-practices
Account Sign-in https://developers.google.com/assistant/conversational/helpers#account_sign-in
Members: hasMember https://developers.google.com/admin-sdk/directory/v1/reference/members/hasMember

Conversation Design

Conversation design https://designguidelines.withgoogle.com/conversation/conversation-design/welcome.html

Creating Actions for the Google Assistant requires a breadth of design expertise (for example, voice user interface design, interaction design, visual design, motion design, and UX writing) that we’ve refined into a single discipline: conversation design.

Conversation design process https://designguidelines.withgoogle.com/conversation/conversation-design-process/how-do-i-get-started.html

Release

Releases https://developers.google.com/assistant/console/releases

Hangout Chat

Creating new bots https://developers.google.com/hangouts/chat/how-tos/bots-develop

Publish https://developers.google.com/hangouts/chat/how-tos/bots-publish

Verifying bot authenticity https://developers.google.com/hangouts/chat/how-tos/bots-develop#handling_events_from_hangouts_chat

Solutions

Building and deploying a chatbot by using Dialogflow

Overview

This article is an overview of a multi-part series of tutorials that show you how to build, secure, and scale a chatbot by using Dialogflow on Google Cloud.

A typical conversational bot system architecture is outlined in the following diagram.

The system architecture has the following components

Multichannel integration: Any conversational interface connects with multiple channels, which can be in both voice and text format.
Conversation management: This component is the heart of interface and typically provides the following functionality:
- Speech-to-Text (STT) and Text-to-Speech (TTS): Conversation interfaces have the ability to interact with speech and text.
- Virtual agent: Agents are responsible for managing the flow of the conversation based on the intent or motivation extracted from user conversation. A good conversation interface has an agent system that can handle linear and nonlinear conversations.
Fulfillment interface: No conversation interface system is complete without a robust fulfillment interface, which is required to connect virtual agents to external systems. This interface is required to connect with external systems to fetch dynamic information to continue or fulfill a conversation.

Dialogflow is an end-to-end, build-once, and deploy-everywhere development suite for creating conversational interfaces for websites, mobile apps, popular messaging platforms, and Internet of Things (IoT) devices.
As part of building a chatbot, you preprocess data to create topics and then extract and save associated synonyms for given topics. This data is uploaded to Dialogflow Agent, and topics are uploaded in entities.
Entities are Dialogflow's mechanism for identifying and extracting useful data from natural language inputs.
With entities in place, you create intents in your agent that map user input to responses. In each intent, you define examples of user statements that can trigger the intent, what to extract from the statement, and how to respond.
Dialogflow can connect to external systems on an intent-by-intent basis by using Fulfillment code, which is deployed as a webhook.
During a conversation, fulfillment lets you use the information extracted by Dialogflow's natural language processing to generate dynamic responses or trigger actions on your backend.

Building a chatbot agent by using Dialogflow (part 1)

Securing and scaling chatbots for production (part 2)

Enabling Identity-Aware Proxy

Identity-Aware Proxy (IAP) brings Google's BeyondCorp security architecture to your App Engine app. By enabling and configuring IAP, your web UI requires authentication and authorization to access—thereby helping to secure your app.

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