Conversation-Driven Development with Rasa X
The challenge with building great AI assistants is that it’s impossible to anticipate everything your users might say. The opportunity is that in every conversation, users are telling you exactly what they want.
Once you have built an assistant that can handle the most important happy path stories, you use Rasa X to improve your assistant.
- layers on top of Rasa Open Source and helps you build a better assistant
- is a free, closed source tool available to all developers
- can be deployed anywhere, so your training data stays secure and proprietary
Deploy Rasa X
- Check out the installation guide to pick the deployment method that's right for you.
Explore how Rasa X helps you follow Conversation-Driven Development:
- Share your assistant with users as soon as possible
- Review conversations on a regular basis
- Annotate messages and use them as NLU training data
- Test that your assistant always behaves as you expect
- Track when your assistant fails and measure its improvement
- Fix how your assistant handles unsuccessful conversations