Please enable JavaScript.

Coggle requires JavaScript to display documents.

Creating Your Chatbot - Coggle Diagram

- - - - If you're logging in Dialogflow for the first time, you should see a blue "CREATE AGENT" button in the middle. Alternatively, you can click on "+ Create Agent" near the top left.
    - - CarreyTheCarAgent
        
        We will give our agent a name - CarreyTheCarAgent. Here, you can give it any name you want, of course, so long it is easily understandable. When you have more agents in future, you want to be sure of the purpose of each agent.
        
        Ensure Carrey understands English conversation, and she is in the correct timezone of GMT+8.
        
        Click on the blue "CREATE" button once done.
- - - - Click on "Default Welcome Intent"
        
        The "Default Welcome Intent" and "Default Fallback Intent" are already there. Let's click on "Default Welcome Intent" and see what it says!
      - Step 2:
        
        Training Phrases (under Default Welcome Intent)
        
        You now enter the "Default Welcome Intent". All changes made on this page will affect this intent.
        
        Scroll down and you will see a list of Training Phrases. These are what the user might type to the chatbot. For example, the user could say "heya" or "greetings" etc.
        
        Remember, training phrases are what the customer might type to the chatbot.
        
        Step 3:
        
        Entities and Responses
        
        Further down the "Default Welcome Intent" page, you will find there is a section for you to define parameters (and entities). We will discuss this later.
        
        Scroll on down and you will see the "Responses" section. Based on what the end-user says, the agent will match to see if it is similar to the Training Phrases above, and if so, it's a match and the agent will reply any one of the text response.
        
        You can also add a response variant -- give it a try. Type "Hello, I am Carrey. How can I help you?" into the text response variant.
        
        Step 4:
        
        Try the "Default Welcome Intent"
        
        You can try out the Test Console on the right side of the screen. Type "hi hi" [hi space hi] into the console and see how your chatbot would respond.
        
        Notice how "hi hi" is not an exact match with any of the Training Phrases, but the system still correct identifies the intent as the "Default Welcome Intent". Also, the response is any one from the list.
        
        Try to type a few different ways that you would say hi to a chatbot, and see the response. At this time, you can also add more Training Phrases or/and Responses to this "Default Welcome Intent" if needed.
        
        Step 5:
        
        Click "Save" and go back to "Intents"
        
        Each time you add training phrases or responses, remember to click "SAVE" to apply all changes you made to the "Default Welcome Intent".
        Now, click on "Intents" on the left panel to go back to the list of intent. Review "Default Fallback Intent", which is what happens when your chatbot cannot understand your user. Add in more Response Variants if needed.
        
        Step 6:
        
        Create New Intents
        
        1 more item...
        
        Step 7:
        
        2 more items...
  - - - Add Follow-up Intent for "Servicing"
        
        Mouseover the "Servicing" intent, and click on "Add follow-up intent" > custom
      - Step 2:
        
        Configure the Follow-up Intent
        
        You will see a new "Servicing - custom" intent. Click on it and configure the following:
        
        Intent Name: Servicing - Car
        
        Training Phrase: car
        
        Response: For cars, it is a flat $300 for servicing. All checks and necessary parts replacement are included in this price.
        
        Click "SAVE".
        Now, try to type "I wanna do servicing" in the Test Console, and when prompted for the vehicle type, type "car" into the Test Console.
        
        Step 3:
        
        Create Another Follow-up Intent under "Servicing" Intent
        
        Create another follow-up intent under "Servicing" using the instructions below, and when done, your list of intents should look like the above.
        Mouseover the "Servicing" intent again, and click on "Add follow-up intent" > custom. For this follow-up intent, configure as follows:
        
        Intent Name: Servicing - Truck
        
        Training Phrase: truck
        
        Response: For truck, it is a flat $600 for servicing. All checks and necessary parts replacement are included in this price.
- - - - Step 1:
        
        Create Entity
        
        Click on "Entities", then click on "CREATE ENTITY".
        
        Step 2:
        
        Creating Entity - "VehType"
        
        Name this entity "VehType".
        
        In this entity, we will only type in two possible values - "car" and "truck", since we assume ABC Automotive Workshop only handles these two types of vehicles.
        
        Then click on the "SAVE" button.
        
        Step 3:
        
        Go to the "Rental" Intent to Add Parameter
        
        In the "Rental" intent go to Actions and Parameters. We will add in the entity we created.
        
        Key all information below (similar to image above):
        
        Required: YesIf user does not let us know the vehicle type, our chatbot will prompt.Parameter Name: VehType - This is the Parameter name.
        Entity: VehType - This is the entity which we created earlier.
        Value: $VehType - The $ symbol allows us to use this in our chatbot replies later.
        IsList: No - We are expecting a singular item from the user (i.e. car/truck), not a list.
        Prompts: What do you want to rent - car or truck? If user doesn't mention, we will prompt for VehType using this.
        
        Click "SAVE".
        
        Step 4:
        
        Modify Training Phrases to Recognise Entity
        
        For all the training phrases under this intent, highlight the words "car" and "truck" and click VehType:VehType so that the agent will know they are defined entities.
        
        Step 5:
        
        Test Your "Rental" Intent
        
        5 more items...
        
        Step 6:
        
        2 more items...
- - - - Botfather is a bot that can help us to create chatbots on Telegram. Search for botfather in Telegram.
    - - Press the "START" button
        
        Hit the "START" button to begin creating our chatbot, and we will be guided through step by step.
      - Step 3:
        
        Create Your Chatbot
        
        Type /newbot into the message bar.
        
        Step 4:
        
        Give Your Chatbot a Name
        
        Public users can search for your chatbot using this name, so it should be a unique name for you or your business.
        
        Step 5:
        
        Chatbot Username (or Handle)
        
        Earlier, we gave our chatbot a name, and here, we will give it a username. The username must end with _bot. Note that your chatbot cannot have the username abccarworkshop1234_bot, simply because I have taken up this username!
        
        Step 6:
        
        Chatbot Token
        
        You will see a token that is generated - this is a very long string of text and numbers. Keep this token private and secure, as anyone with the token can control your chatbot!
        
        Step 7:
        
        In Dialogflow, click "Integrations" and select "Telegram"
        
        1 more item...
        
        Step 8:
        
        2 more items...
- - - - Step 1:
        
        Enable "Small Talk"
        
        On the left panel, click on "Small Talk" and enable small talk. By doing so, we can teach our agent how to reply to phrases like "thank you" and "you look great today" - just in case anyone decides to praise our bot.
        You can even customise small talks, but we will leave you to explore that on your own.
        
        Step 2:
        
        Enable "Agent Validation" under Agent Settings
        
        Dialogflow provides a validation feature to help us create high-quality agents. Agent validation results are available automatically whenever agent training is complete. These enable us to know if there are any issues with our agents.
        To enable agent validation, click on the "Setting" icon, go to "ML Settings", then "Enable" Agent Validation and "TRAIN" your agent. Remember to click "SAVE".
        
        Step 3:
        
        Use the "Validation" Tool to Evaluate Chatbot
        
        On the left panel, click on "Validation". Here, you can see any Info, Warning and Error that exists in your agent. Expand on the issues to read more on how you can improve your agent.
        
        Step 4:
        
        Accessing Chat Conversations
        
        On the left panel, click on "Training". Here, you can see all the conversations made with your chatbot, and manually train your chatbot better. (Note: All conversations can also be accessed from the History button.)
        Click on any one of the conversations.
        
        Step 5:
        
        Training Based on Chat Conversations
        
        1 more item...