All articles on how to create & orchestrate LLM-powered AI Agents
- Getting Started with AI Agents
- Prerequisites: Set up your AI Agent's brain
- Create your AI Agent's persona
- Give your AI Agent a Job
- Make knowledge available to your AI Agent
- Give your AI Agent access to memory
- Deploy and use your AI Agent
- Improve your AI Agent’s skills using Tool Actions
- Enable your AI Agent to understand images
- Talk to your AI Agent via voice or phone
- Debugging your AI Agent
Cognigy Academy |
In this tutorial you will learn the essentials on how to create your first AI Agent with Cognigy.AI.
An AI agent is driven by a Large Language Model (LLM), similar to ChatGPT. Unlike intent- or rule-based systems, where conversational flows need to be designed, generative AI Agents can dynamically adapt to a conversation based on their persona and instructions. For more human-like and flexible interactions, generative AI is ideal, while intent- or rule-based conversational AI offers greater control over dialog and output. In Cognigy.AI, you can combine both approaches in a single hybrid application for maximum efficiency.
In this tutorial, we will create a Logistics AI Agent who can answer general questions and help you with your parcel. The creation is as easy as this:
- Describe an AI Agent
- Describe an AI Agent’s job
- Deploy and use the AI Agent
But we won’t stop here. Additionally, we will show you how you add knowledge, improve skills, give access to memory, enable image recognition and give your AI Agent a voice.
➡️ Let’s get started with a quick look at the prerequisites.
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