Build and deploy your first AI agent without installing anything. All you need is a browser and an account.
Prerequisites
Agent Platform sends requests to a fixed set of IP addresses. If your organization applies IP restrictions, then add the following IPs to your allowlist to permit the platform traffic. The platform is available in the following regions at the listed URLs.
The platform supports three paths depending on your team’s skills and workflow:
Setup Guide
Set up your first multi-agent system in four phases:
Phase 1: Access Studio
Sign up and log in
Access the platform login page and create your account. After verifying your email, you land in Studio - the browser-based IDE where you build, test, and manage your agents.
Create your first project
Click New Project from the Studio dashboard. Give it a name like “My First Agents” and select a workspace. Projects organize your agents, supervisors, tools, and knowledge sources in one place.
Phase 2: Build your First Agent
Inside your project, click New Agent. Open the ABL editor and paste this definition:
This definition creates an agent that:
- Uses an LLM to understand customer questions.
- Searches a knowledge base for answers.
- Responds with sourced information.
- Has clear boundaries on what it can and cannot do.
Click Save to validate your definition. Studio parses ABL in real time and flags syntax issues inline.
Phase 3: Test your Agent
Open the Test panel on the right side of Studio and send a message:
Your agent processes the message, searches for relevant knowledge, and responds. The trace viewer below the chat shows the full execution - LLM calls, tool invocations, and reasoning steps.
Send a few more messages to see the agent handle different questions, maintain context across turns, and respect its defined limitations.
Phase 4: Add a Supervisor
Create a new Supervisor in your project and paste this definition:
The supervisor evaluates each incoming message and routes it to the right agent, passing conversation context along. Test it the same way - open the Test panel and send messages that should route to different agents.
What Have You Built
In a few minutes, you created:
- An agent that understands natural language, retrieves knowledge, and enforces boundaries.
- A supervisor that routes messages to the right specialist.
- Observable traces for every execution step, visible right in Studio.
Next Step
Check out the Template Gallery in Studio for ready-made agent definitions across industries - airlines, retail, banking, telecom, travel, and more.
