Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.

Hands-on IBM Watson Chatbot: Basic


Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.

I spent some good time a few months back, reading about IBM Watson Assistants. And I thought, how about I build one. It’s smooth. So I built it using their console and not actually coding it. I manually added the requests and responses and built them. In the next blog, I’ll code one!

I built a bakery-shop bot that takes an order for a Cake of the user’s choice and displays the bill for that particular cake. Well, it doesn’t have too many functionalities, as it’s for starters!

Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.

First, we log in to IBM Cloud. Link: https://cloud.ibm.com/

Our dashboard would look like this:

Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.

We click on “Create Resource” and on the Search bar, right under Catalogue, we search for: IBM Watson Chatbot.

We create a new resource.

Now, we are prompted to give the assistant a name, description, and assistant language. This is what the page will look like:

Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.

As we go to the Actions section on the left sidebar. We create our first action.

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What is an action?

Actions let us create dialogues or questions differently. Each action has a beginning and an ending. Action always comes to an “action” when a user enters something that the action is built to recognize and respond to. This was a tricky explanation 😉

Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.

I designed a little happy path for this bot. So, what is a Happy Path exactly?

Have you heard of conversational design?

If so, awesome. If not, then here I’ll tell you. Every application that we build has to have a constructive design. Be it visual or voice. This design should give the customer a good experience. While designing bots, we call it conversational design, as this design decides how the conversation is going to start, flow in between and end, with a customer and the bot.

To design a good conversational experience, we need to know our participants

well enough to have an idea of where they are coming from. It puts us in a

better position to map out scenarios of the possible needs they have for each

Engagement.

Hence, this is a little workflow of the conversation that I have designed for this chatbot!

Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.

Now, I have added all these responses here in the action area of the Chatbot.

Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.

For the final part, here’s a little conversation about me with the chatbot.

Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.

That’s all! You can always add more functionality to this. There’s no end to it. Since this was a very basic one, to understand the flow, I didn’t dig in much. You can access the Live Chatbot and use it! Begin by saying:

I want to order a cake

Thanks!

Don’t forget to give us your 👏 !

Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.

Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.
Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.
Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.

Hands-on IBM Watson Chatbot: Basic PlatoBlockchain Data Intelligence. Vertical Search. Ai.


Hands-on IBM Watson Chatbot: Basic was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

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