New Cognigy.AI Video Tutorials: Master AI Agent Development for Chat and Voice

6 min read

Authors name: Sebastian Glock September 27, 2024

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We’re excited to announce the release of a new two-part series of video tutorials, designed to help developers and technical professionals build advanced AI Agents using Cognigy.AI. These tutorials cover the full spectrum of creating agents for both chat and voice interactions, guiding you through best practices and proven design patterns.

What You’ll Learn:

Building an AI Agent for Chat

This comprehensive tutorial walks you through the process of developing an AI Agent specifically designed for the insurance industry, capable of efficiently managing customer claims, processing invoices, handling frequently asked questions, and automating routine inquiries to enhance customer satisfaction and streamline operational workflows.

📺 Watch tutorial "AI Agents for Chat"

Key topics include:

Intent Handling & Conversation Flow: Learn how to guide conversations smoothly, ensuring the agent detects and responds appropriately to user intents.
Knowledge AI: Discover how Cognigy.AI’s Knowledge AI can power dynamic, real-time responses and set up fallback strategies for unrecognized queries.
Authentication & Transaction Flows: Secure user interactions with authentication, and guide them through more complex processes, such as claim submissions, using LLM support.
Deployment: Deploy the agent to a live channel, ready for real-world customer engagement.

Enabling Voice Interactions

**** This advanced tutorial expands your existing chat agent by introducing voice capabilities, enabling you to build a fully voice-enabled AI Agent that can engage in natural, spoken interactions, process voice commands, and provide real-time, spoken responses, all while maintaining the same high level of performance and user experience as your original chat agent.

📺 Watch tutorial "Phone-based AI Agents"

Key topics include:

Voice Enablement: Configure your AI Agent for voice by adding speech-to-text (STT) and text-to-speech (TTS), while managing latency for smooth, real-time responses.
SSML Customization: Use Speech Synthesis Markup Language to fine-tune voice output, ensuring natural, clear responses in complex voice interactions.
Contact Center Integration: Learn how to seamlessly integrate your voice agent into contact center systems, using SIP trunking for robust voice connectivity.

Flexibility and Power with Cognigy.AI

These tutorials offer a step-by-step guide to building intelligent, scalable AI solutions, helping you leverage the full power of Cognigy.AI in your projects. Start learning today and bring your AI Agent to life!