Build AI agents with boost.ai
Learn the basics of building AI agents — a step-by-step overview that makes the process simple and approachable.
Learn the basics of building AI agents — a step-by-step overview that makes the process simple and approachable.
Get started with generative actions — learn how to write instructions, upload knowledge, and design dynamic responses with control and flexibility.
Let's explore the building blocks of conversation design: generative and predefined responses.
Reduce immediate human escalation and improve automation. Learn how to reduce the number of users who ask to speak to a human without trying the AI agent first.
We can combine a variety of different methods to create n AI agent ready to answer questions on thousands of topics. In this course we will se what they are and their strengths.
Customer satisfaction, or CSAT, is an important metric that can be difficult to work with. In this course you will learn not only how to best measure CSAT, but also how to analyse your CSAT data.
Explore the key steps of AI agent implementation — from building to testing and ensuring quality throughout.
Are you the project manager for a new AI agent? This onboarding covers the entire implementation journey, from planning to building to going live. Take this onboarding to stay one step ahead and lead your team to success.
Learn how to plan a successful AI agent project — from defining scope and KPIs to setting the stage for long-term success.
Learn how we improve AI agents in production — from boosting visibility and expanding usage to adding capabilities and personalization.
Discover what happens after go-live — from conversation reviews to optimization tools, learn how we support AI agents during hyper care.
If you want to implement more than one language in your AI agent then there's two main tasks: First we have to train the second language so that the model can understand and detect it, and second we have to...
Learn how to use goals to track flow usage and generate key statistics. This course shows how goals reveal user behavior and provide insights into how your AI agent is performing.
How are generative AI and large language models redefining conversational AI? That's the question we are going to explore in this course.
Discover how to use the API connector to link your AI agent with external systems and databases. Learn how integrations enable personalized experiences, perform actions for users, and significantly increase your agent’s value.
In this course we will focus on how the AI agent itself works and how we build it
Curious to find out what a project together with boost.ai looks like? In this course, we outline the typical steps we take together to create a great AI agent project.
Learn how system actions help your AI agent recover conversations and guide users forward. This course covers when they trigger and what to consider when designing them effectively.
This course will cover the basics of entity extraction, how we gather and use information from our end users. It also covers the basics of API connectors and if statements.
In this course we'll teach you all about context topic: the AI agent's capability to remember what the user was talking about. This ensures a much smoother conversational experience, and improves customer satisfaction (CSAT).
In this course we will teach you how to use context action: improving your AI agent's capabilities to understand follow-up questions like "why do you need to know?", or "Can you help me find it?".
In this course we'll explore how conversational IVRs, or voice agents, can help create customer experiences that help us retain customers and bring value to our businesses. We'll also learn about the synergies between chat and voice and the benefits...
Learn the basics of conversation review — what it is, how it works, and how to use it effectively in your daily workflow.