Training

A good training process (that is, the process of defining training phrases) can help you build a robust Dialogflow bot. You can actually break this process down into 5 steps. Breaking it down into a 5 step process has two advantages – it acts as a checklist when you are creating your Dialogflow bot. Second, by breaking down a complex process into individual steps, it helps you to keep things simple. Here are the five steps: 1 Intent identification Consider the PlanetsBot used in my step by step guide. You can ask questions like these: “what is the color of Mercury?” “what is the volume of Jupiter?” and so on. Each of them gets a unique response. So we could…

I recently got an email from a course student: Let me describe my background first. I am an engineer, but not in computer field, so I consider myself technical, but not programmer. With many reasons I choose to change my working field, and I have tried to learn about IT and programming and end up with building a chatbot. Before I took your courses, I enrolled in Javascript + NodeJS courses, then Dialogflow course in Udemy which teaches using Dialogflow with Facebook Messenger by custom integration (REST API approach). As a programming beginner, it was very painful and costed a lot of time. Even after I completed that course I still had no confidence I could build a real thing….

In a previous article, I talked about why it would be a good option to use a rules-based, conditional logic bot as a “pre NLU” bot before you build out your actual NLU-based website chatbot. A good option for this is Collect.chat. I tried out the Collect.Chat service for a month (I chose the Standard plan – $49/month so I could experience the entire set of features) and I really liked it. There are also other similar services, and while I haven’t compared them all, I have very little hesitation in recommending Collect.chat for creating your preNLU bot. Note: the link above is an affiliate link, but I am recommending the service because I believe it is best-in-class for the…