Agent orchestration is a setup that allows us to build several independent agents that are then connected through the agent orchestrator. The agent orchestrator decides which agent should answer which questions, and if no agent fits it handles the rest...
Are you a new AI trainer looking to train your first custom NLU model? Well, in that case, the basic onboarding might not be enough. This add-on contains some extra courses to help you on your way.
Are you a new AI trainer looking to build your first voice agent? Well, in that case, the basic onboarding might not be enough. This add-on contains some extra courses to help you on your way.
Testing ensures your AI agent works as intended and catches issues early. This course introduces boost.ai’s testing tools, showing how to use them effectively and understand their strengths and limitations.
This short introduction explains how the onboarding is structured and suggests which courses you should focus on first.
The clean-up reports are built-in reports that tell you where to improve your trained NLU model. In this course, we will go through some of the more important reports and give you an idea of where to start.
Learn how to train a custom NLU model in boost.ai — from preparing training data to evaluating performance.
Learn how to create clear, helpful responses using the essential tools for designing AI agent replies.
Learn how to build and navigate the intent hierarchy — the foundation that defines what your AI agent knows and how it responds.
Are you an aspiring AI Trainer? This is the perfect onboarding for you to take as you build your first AI agent. Learn all the basic tools to train a custom model, create responses, and get a feel for how...
The language processing algorithm is a central part of how our custom NLU model understands languages. In this course, we will see how big of an impact this algorithm can have on model performance and how it works.
Test results are the ultimate tool for benchmarking and improving a custom-trained NLU model. This course introduces the various kinds of issues we can find here and how to resolve them, improving prediction accuracy.
We learn the basics of designing content for voice agents. We look at how the voice channel differs from chat and which features you can use to enhance your voice flows.
Data security is essential for protecting sensitive information and maintaining customer trust. Boost.ai helps businesses build trust by offering tools for data protection and compliance. This lesson covers Boost.ai’s security measures, emphasizing cloud hosting as a secure solution and how...
If you are interested in finding out how multiple languages work, why and when it should be implemented, and how to get started. Then this is the course for you.
Discover how boost.ai leverages Generative AI to build and implement high-performing AI agents on our custom platform.
Boost.ai is an organisation that takes security and privacy very seriously, and the platform has several features that will help you manage you and your end user's date securely and responsibly. We can not give advice on how to configure...
Are you new to boost.ai's platform, or curious what it is? In this course we explain how our platform is set up, in broad lines, to help you understand how we help you deliver great AI agents.
In this course, we cover methods to increase your traffic based on real data from live projects. You'll learn how to categorize initiatives to increase traffic, and how to find ones that fit your AI agent project.
In this course, we introduce the intent overview tool and explain why it's such an important tool for running an efficient AI agent project. We show what you can do with it, and share examples of how to use it...
Understand automation rate as a key KPI for AI agents. This course explains how to measure it, why it matters, and how to identify new users and use cases to boost automation.
In its simplest form, an AI agent needs to understand what users are saying and respond appropriately. In this activity, we are going to dive into how we build understanding and create responses in the boost.ai platform.
Get a quick overview of AI agents — what they are, how they’re built, and how they function within the boost.ai platform.
