
Step-by-Step: Building a GPT-Enhanced Twitter Bot with WordPress and Convoworks
In our previous article, we introduced you to the basic usage of the Twitter API in conjunction with Convoworks….
VIEW FULL POSTWe are all witnessing the increase in conversational platforms adoption throughout many industries. Due to the lack of complete native solutions, PHP and the WordPress are currently marginally represented in the market. This means that almost 80% of the Internet is not properly utilizing voice applications!
Convoworks finally brings forth a powerful interface based on an open architecture that the PHP and WordPress community can finally utilize to take advantage of voice enabled features to enhance their customer’s experiences.
Convoworks is the easiest way to create a podcast skill in a matter of minutes, and updates are just a button click away. With Convoworks, it is easy to launch and manage podcasts. The Convoworks team earns two thumbs up from me!
I can already see the interface is so much more intuitive than the Alexa Development Console.
Instead of using Entity-Relationship like diagrams that most of the others use, we divided conversation into blocks which are very similar to the classic web pages.
In the first phase, we present the user with information about the main options currently available and request his/her input. When we receive the user’s request, it is processed within the same block and, if required, we move the conversation focus to another block, where the process is repeated with the new set of options that user can choose from.
In Convoworks conversation, different components are used to define workflow. There are 3 main types of components used within a single conversation block.
Elements are running in a sequential manner; they can be nested and are executing useful actions (e.g. display or pronounce text; execute SQL query; modify variables; execute http request, if cases and other control structures; analytics tracking).
Processors are competing between themselves to handle user input and execute their own read elements flow.
Filters are a bridge to the specific platform and are aiding processors in deciding when to activate. Intent based filters (Alexa, Dialogflow), but also NLP and plain text filters, are supported.
We use enhanced Symfony expression language to manipulate variables.
Besides just defining variable values, you can apply various functions provided through extensions.
When working with intent based systems, you can define Intents and Entities in Convoworks and automatically publish changes to external platforms. You can also use predefined intents which are available to get through Convoworks extensions.
We are starting with Alexa and Dialoglfow as supported intent based platforms, but we are open to extend it with
Wit.ai, IBM Watson Assistant or any other simmilar engine.
You already have a bunch of registered users on your website? With Convoworks you can easily authenticate voice assistant users with your own website and give them all your usual features through the voice service including shop purchase. You have a webshop? Why not let your users shop through the voice enabled devices?
Unlike NodeJs & Cloud solutions, Convoworks runs inside your website and can use it’s resources without external processing.
When creating ConvoWorks extensions, you are able to develop all three types of components, including defining their property editors and preview! You can also predefine intents and entities, write custom expression language functions and full service templates.
You can enhance your existing WordPress plugin with Convoworks extension, providing your customers ability to access your features through voice assistant services. Let’s say you have a booking plugin. Now you can define a few Convoworks elements and let your customers more easily offer their services on Amazon Alexa and Google Assistant devices.
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Convoworks is co-financed by the EU and is being developed by ZEF Development
Project worth: 260.000 EUR
Amount financed by EU: 180.000 EUR
Project duration: 1.10.2019 – 1.4.2021