One of my students asked about creating and managing large Dialogflow ES bots. There are three different things you need to understand when creating large Dialogflow ES bots. How to select training phrases How to input the training phrases for a large bot How to maintain the training phrases for high accuracy What not to…
I recently got feedback from a reader. He was answering a question about a tool which Dialogflow should have but doesn’t. Debugging of dialog flow , which is very important tool that should be there Now, I don’t think you can “debug” Dialogflow by setting breakpoints the same way you would when writing code, at least…
One of the big advantages of Dialogflow is that you can build contextual chatbots using it. What are contextual chatbots? My simple definition would be: The chatbot should keep track of what the user said before, and the conversation should flow accordingly. By the way, this is surprisingly hard to do. So much so that…
Originally published: May 2017 Updated: July 2020 There are some situations where you shouldn’t use followup intents, because it will not work. The while loop There was a chatbot called the Florist bot that was originally used as an example bot in the Dialogflow documentation (when it was still called API.AI). This is what the…
Recently, Google published a very interesting article on how you can assess the quality of the training phrases inside your Dialogflow agent. In my view, if you are at all interested in building a Dialogflow agent, it is a MUST READ. Note: You do need a fairly good programming background, plus some basic understanding of…
No, not the Central Intelligence Agency. I mean Candidate Intent Ambiguity 🙂 A puzzle A while back, a coaching student of mine was facing an interesting problem. Agent ZIP file Can you figure out what the problem is? Download the agent ZIP file here and try and see if you can figure out the issue….
When you are collecting a set of inputs from the user, you should use a context with a very large lifespan as a sort of a “session variable”. I refer to this as session-vars in many of my videos. There are three things you should remember when using session variables. 1 You should not add…
In a previous series, I talked about the C = T + F + S formula for analyzing your Dialogflow chatbot. As a quick reminder: C = Candidate intents T = Target intents F = Fallback intents S = Surplus Intents An intent without an input context is always a candidate If you remember from…
I was trying to explain to a coaching student that my approach to Dialogflow development was somewhat opinionated, and when they asked me to elaborate, I realized it would be good to have some term which will capture my opinions. I am going to be calling it the Explicative Approach to Dialogflow development [1]. Here…
As you might know, I don’t recommend using slot filling. This leads us to a question: one of the benefits of slot filling is that you can re-prompt if user provides the input in an unexpected format. (However, that is a small(ish) benefit for the much bigger problem of being unable to predict your chatbot’s…
I got a comment recently on my post about intents which don’t match like you might expect. This is an extremely unlikely scenario. But here are some troubleshooting tips. Make sure the input context matches In a previous article, I shared an example of an intent in my SupportBot where people express interest in coaching….
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