API.AI’s Cisco Spark and Tropo Solution at Cisco Live!

It’s always exciting to do a little show-and-tell with products you’re proud of. That’s why we can’t wait to be at Cisco Live in Las Vegas from July 10-14, where we’ll be demonstrating API.AI’s latest integrations with Cisco Spark and Cisco-owned Tropo. We’ll be exhibiting at the event as well – if you’re attending, come by and see us at booth C7.

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Manipulating Entity Entries via API

Let’s imagine an agent for a retail store app. There is a developer entity that matches items available in the store. Let’s call it @item. The initial version of the entity contains a list of items available in the store at the moment of the agent’s creation. But since the stock of items is updated regularly, it would be very inefficient to update the entity manually.

To keep the entity in sync with the store database, API.AI now offers three additional options in the /entities endpoint that allow you to add, update, and delete entity entries via our API. Read more...





Conversational Slack Bots 101

Following up on the VentureBeat article, here is a short tutorial on how to create a Slack bot at API.AI.

Millions of Slack users chat with each other and bots every day. Bots are the best, because you can integrate them with lots of useful services and apps. They provide you with information, deliver notifications, and offer a myriad of other handy features. You can simply talk to the bot naturally and it understands the context to respond intelligently. And now with the API.AI-Slack integration, you can train your bots, so they can have real conversations with users to perform their duties better. Read more...





What are contexts and how are they used?

A context is a powerful tool that can help to create sophisticated voice interaction scenarios. In this post we’ll look at how you can use contexts to build dialogs.

When a dialog is created, it’s usually the case that many branches of conversation are possible. Therefore, intents in an agent should be designed so that they follow each other in the correct order during a conversation.

The best way to demonstrate how this works is to build a conversation together, step-by-step. As an example, we’re going to create an agent for a floral shop. You can download it here and try the instructions in your account. Read more...





Introducing Slot Filling – the easiest way to build a dialog

We are super excited to introduce the slot filling in API.AI! It greatly simplifies building dialogs. In fact, you can build a simple parameter collection dialog within a single intent if you’d like!

Let’s say we want to create an agent for sending messages. We’ll need to collect values for the following parameters: “text” and “name”. We’ll also want to make sure that we’ve matched all the values correctly, and to give users an opportunity to edit the values.

Here’s an example of this type of dialog structure.
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