In this article, we look at how Colang components can be used inside a VoiceFlow design.
In this article, we look at a proof of concept integration of a colang model into an existing conversational AI platform using the CoAPI.
Colang was built to address the core challenges in building advanced conversational bots. One of these challenges is interoperability. In this article, we look at the motivation and the high-level design of the CoAPI.
Streamlining customer support is one of the main drivers for conversational AI adoption, and it has the potential to provide genuine value to both customers and enterprises. However, designing and building conversational AI bots with a broad range of capabilities is a big challenge. Colang was built to address the core challenges in building advanced conversational bots, such as the one below:
How do you think about designing and implementing a conversational AI bot? Let's say you have your sample dialogs from the Wizard of Woz simulations and have identified the happy paths. And let's take the initial greeting and write down our thought process.
Last week, I was a speaker at two conferences in the conversational AI space: Conversation Design Festival and L3-AI. I talked about the gap between conversation design and engineering, and I introduced a new modeling language, colang, which we've developed at RoboSelf as a potential solution. In this article, we will look together at the motivation and need for a common language for Conversational AI.