This document discusses building chatbots using Actions on Google. It begins with introductions from the presenters and an overview of what will be covered, including what a chatbot is, why you should build one, and how the presenters built their first bot. It then discusses key aspects of designing a bot like persona, voice, and tools. It provides a demo of building a recipe recommendation bot using Dialogflow for natural language understanding and fulfillment through APIs. It concludes with information on testing, analytics, and additional Actions on Google capabilities.

1. OK Google, it's time to bot!
Actions on Google
Droidcon TLV 2018

2. Let’s get to know each other

3. Stav Levi
Data Entrepreneur & Software Engineer @ monday.com
Community Lead @ Women Techmakers

4. Hadar Franco
Software Development Team Lead @ Albert
Community Lead @ Women Techmakers

5. And now, your turn...

6. The next 40 minutes
● What is a chatbot?
● Why should you start building your bot yesterday?
● Our journey building our first bot

7. What exactly is a chatbot?
A chatbot is an artificial intelligence (AI)
software that can simulate a conversation (or a
chat) with a user in natural language through
messaging applications, websites, mobile apps,
personal assistant, etc.

8. Why should you start building
your bot yesterday?

9. It’s the future!

11. It’s easy with Actions on Google
Devices with the Google Assistant built-in
The Google Assistant —
Actions on Google —

12. Growing audience
500M+ devices

13. Growing audience
Support different
languages

14. Growing audience
Cross platform

15. No installation

16. OK, let’s build a bot!

17. (Not so) Live Demo

18. How does it work?
Action
{ conversation
api request }
{ conversation
api response }
user input
Action
response

19. Design Infrastructure
Tools Testing

20. Design

21. What will my persona say or do?
● Voice
● Tone
● Word + phrases choices
● Pace
● Energy level
● Style
● Emotional state

22. Design

23. Choosing a voice...
Synthesized Recorded
Text to Speech Synthesis (TTS) Voice talent
Localization libraries Localized recording
Speech Synthesis markup (SSML) Voice delivery

24. Design

25. Tools

26. The Console
● Configuration
● Testing & Deployment
● Analytics

28. How do I understand my user?
● The secret sauce - DialogFlow
● NLU (Natural Language Understanding) as a Service
● Being used for…
○ ML powered intent matching
○ Automated entity recognition

29. Your community logo

30. Design

31. Your community logo

32. The secret sauce - DialogFlow

33. Recipe Recommendation - Intent

34. Protein
Duration
Temperature
Curbs
Recipe Recommendation - Entities

35. Protein
Duration
Temperature
Curbs
Recipe Recommendation - Context

36. Wrap it all together

37. Recipe Recommendation - Fulfilment

38. Webhook

39. Recipe API

40. Your community logo

41. errors

42. What to include:
1. Canonical “Happy path”
2. First time experience
3. Tapered experience
(Return user)
4. Repair
Sample Dialogs
USER
GOOGLE ASSISTANT CHEF
CHEF
USER
CHEF
USER
CHEF

43. Testing

46. Analytics

47. Discovery in the Google Assistant Directory

48. And there is more...
● Authentication
● Billing
● UI component
● Notifications
● Actions with your android app (triggers)
● BigQuery

49. Useful links to get started
● Platform & Documentation:
developers.google.com/actions/
● Code Samples: https://github.com/actions-on-google
● Dialogflow: developers.google.com/actions/dialogflow/
● Actions SDK: developers.google.com/actions/sdk/
● Templates: developers.google.com/actions/templates/

50. Thank You!
Hadar Franco
hadar.franco@gmail.com
hadar-franco
Stav Levi
stav@monday.com
stav-levi