12/8/2022 0 Comments Google actions![]() ![]() This makes it more reliable than Custom Slots defined by developers since the built-in Slots use Alexa’s already existing knowledge-base without depending only on examples you provide. Google actions tv#For example movies, tv shows, names of people etc. Both are raw objects which can be customized by the developer by providing examples for each.Īlexa provides a large variety of built-in Slots. Google uses “Entities” while Alexa uses “Slots”. Both Google and Alexa use similar objects to capture this information. In order to drive the conversation in a funnel format we require data from the user. Google lets the developer upload the JSON using “gactions” tool. This is, in essence, a conversation funnel.Īlexa only has the option of typing the JSON into a form on the Alexa Skill’s developer page. The idea is that once an intent is identified, the bot can ask for missing variables from the user to complete the functionality. For example, the statement “Get me an Espresso” may not be enough for your bot to complete a functionality as it may require further information on the size, sugar level etc. Intent captures the type of functionality requested by the user and any additional data required to fulfill the functionality. For example: “Get me an Espresso” vs “Get me a Chai tea”. Intents are used to classify the various functions of your bot requested by the user. ![]() Example: “Could you get me Coffee Express” or “May I talk to Coffee Express” The only requirement is that the invocation must contain the name of your bot. You must provide sample invocations and the Google Assistant trains itself to cater to different ways a user might invoke your bot. Google Assistant on the other hand gives the developers an option to customize the invocations. Here, “Coffee Express” is the name of your bot and Start/Run is the predefined phrase that you have to use. For example “Start Coffee Express” or “Run Coffee Express”. Invocation is a set of particular phrases which activates your bot.Īlexa uses predefined invocations for its bots. Once published, any Google Assistant user can right away start using your bot if they know the “invocation” to activate the bot. Google assistant on the other hand does not require any activation. Without completing this step, Alexa won’t recognize your bot even if you’re published in the Alexa Skills Store. Photo: Alexa Skill Discovery on Mobile Source: Īlexa users need to find and activate your bot using the Alexa App. Lets us start with the way a user discovers voice bots. In this article, I summarize my experience while building voice bots on these two platforms. They are similar both in their functionality and development framework. ![]() We used Alexa and Google Assistant to further enhance Archie’s capability to speak. It connects to already existing data source like Google Analytics and makes data conversational. This sets up voice as the perfect medium for AI.īuilding Voice capability for Archie.AI :Īrchie is a bot that is able to understand and respond to your data related questions in plain English. However, bots were never good enough to understand the nuances of human speech until Deep Learning platforms came into play. One of the most efficient ways humans interact is through speech. But voice enabled bots reside in a medium with no competition from traditional websites or apps. However, most bots fail to provide better performance and compete with websites and apps that reside in our screens. So, there is no learning curve to use them. ![]()
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