Dialogflow Messenger Rich Responses The info type is similar to the card in the Google Assistant rich response, and it supports an image, a title and some text below the title. Create a new intent in your Dialogflow agent called show.info.type. The image URL points to an image on my website. Now click on the…
Dialogflow Messenger Rich Responses The description type allows you to add multiple lines of text under a heading. Create an intent called show.description.type as below: To see the result, type the appropriate phrase into the chat widget. Don’t like editing JSON by hand? Use my visual custom payload generator tool:
Dialogflow Accuracy This article provides a framework for adding unit testing to your Dialogflow ES bot. Introduction Recently I saw a question on StackOverflow about Dialogflow ES testing framework. Dialogflow CX does have built-in Test Cases. That is one more reason why CX is more powerful and better suited for building complex flows than ES….
Dialogflow Accuracy This article provides some tips for doing Dialogflow ES conversation analytics. You cannot do analytics if you cannot calculate accuracy The ability to do conversation analytics in Dialogflow is directly tied to the accuracy of your bot’s intent mapping. (Here is an article which talks about measuring your Dialogflow bot’s accuracy). At the…
Dialogflow Accuracy The Chatbase service, which was recently shut down, provided analytics for Dialogflow bots. However, it was missing an important feature: you had no way to ensure that the intent mapping was accurate. As a result, everything that was built on top of that assumption was not entirely useful. Here is a much better…
Dialogflow Accuracy A while back, I wrote a post which linked to Chatbase’s UMM method which provides a way to reason about your chatbot’s accuracy. While it is a good idea and I do derive some ideas from it, it is not particularly useful because there isn’t any way to measure the accuracy using the…
Dialogflow Accuracy In this article I provide a step by step guide for improving Dialogflow ES accuracy Export your agent for versioning First “freeze” your current agent version. Remember that the accuracy only makes sense with respect to a given version of the agent. Tip: You can also flatten your agent ZIP file and turn…
Dialogflow Accuracy This article explains how to download Dialogflow ES conversation logs. Download history JSON using Google Chrome I heard about this interesting “trick” on a forum a while back, but unfortunately I cannot even find the forum post anymore. 🙁 So here is how you do it. Use Google Chrome This will probably work…
Dialogflow Flowcharts I made some updates to the flowchart from the last part Let us translate the first intent – 1 identify.vertebrate You copy the intent name, obviously. Then check the input and output contexts. This intent has no input contexts, and it has an output context called await_has_fur. The user training phrase will be…
Dialogflow Flowcharts Once we generate the conversation script and add the context names, we need to add suitable intent names to these intents. You can see that these intent and context names follow the naming conventions that I suggest. Note: as you can see from the flowchart, the rounded rectangle represents an intent Once you…
Dialogflow Flowcharts In my tutorial which discusses how to move to the next intent, I point out that you can do this by setting the appropriate input and output contexts. Add a new node under node 2 and add the text await_has_fur into the node as shown below Select the node highlighted and click on…
Dialogflow Flowcharts The first step is to write out the conversation script into your mindmap directly. This is based on the decision tree bot which can identify a vertebrate class. The flowchart of the decision tree bot looks like this: Inside Mindomo, click on Create Hover your mouse over the Organigram. On the top right…