The Watson Assistant Toolkit aims to help developers & data scientists using Watson Assistant build, deploy and maintain more effective AI solutions for their businesses.

If this is the first time you are accessing Watson Assistant features, please access the official product documentation

We believe that if we can help you leverage all of the capabilities available within Watson Assistant, you will be able to build highly effective AI assistants for your business. To that end, experts from the Watson Assistant team have created the AI lifecycle guide in addition to the open source Python notebooks Dialog Skill Analysis Notebook, Measure & Analyze Effectiveness Notebooks that are intended to help you build, manage and incrementally improve your assistant's AI capabilities. The team incorporates expertise gained from real world engagements with clients from around the world. We hope it helps you to discover ways to get the most out of your own AI implementation.

There are many different ways to integrate with Watson Assistant. This includes many built in channel integrations such as Webchat and Phone but also extends out to many different types of webhooks that can enable all kinds of use cases. The integrations section in this repo contains many useful assets that can be downloaded and used to enhance the capabilities of your Watson Assistant instance.