Create your AI-agent

Overview

Creating a high-performing AI agent involves configuring its personality, capabilities, and interaction channels—including voice. This guide gives you a one-glance understanding of the core setup areas needed to deliver seamless, intelligent user experiences across text and speech.

✅ Whether you're building an agent for chat, voice AI, or multi-turn automation, this setup ensures every interaction aligns with your brand, meets user expectations, and scales effortlessly.

Configuration at a glance

1. Start with the Super Agent: Define high-level agent identity and behavior defaults.
2. Add an Agent: Configure specific use cases your bot will handle.
3. Design Conversations: Use prompts, actions, and logic to shape user interactions.
4. Set Up Voice AI: Fine-tune speech capabilities for natural, spoken dialogue.
5. Manage Variables: Keep conversation context with reusable, testable variables.
6. Test and Go Live: Validate behavior in dev, then publish to production safely.

Here’s what you’ll find and can customize in every part of the AI agent setup.

Configuration Area	Purpose	What You Define
AI Agent Profile	Establishes the agent’s identity and scope.	Name, role, supported region, model, and data policies.
Persona & Tone	Shapes the agent’s personality and communication style.	Welcome message, fallback handling, tone, and brand voice alignment.
Conversations	Defines what the agent can do and how it responds.	Prompt-based logic, input collection, workflows, fallback flows.
Voice AI Settings	Enables and tunes voice-based interactions.	Voice model, speech-to-text accuracy, and conversation pacing.
Global Components	Centralized control of variables and data context.	System, session, user 360, and output variables.
Testing & Publishing	Ensures quality before going live.	Preview conversations, validate logic, and publish to lower or live environments.