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AI Studio is where you build, configure, and improve your AI agents. Create intelligent assistants that answer questions, execute tasks, and provide exceptional user experiences.
AI Studio showing a list of configured agents with their models, tools, and status

AI Studio - Agents List

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What is AI Studio?

AI Studio is AGO’s agent development environment. It provides everything you need to create AI-powered assistants: from prompt engineering and tool configuration to quality testing and performance tuning.

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Key Concepts

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Agents

An agent is an AI assistant configured for specific tasks. Each agent has:
  • A prompt template defining its behavior
  • Access to knowledge sources
  • Tools for taking actions
  • LLM settings for response generation
  • Permission controls for access
AGO supports four agent types: Standard (real-time chat), Background (async processing), Reasoning (multi-step thinking), and Router (automatic delegation to specialists). See Agents for detailed configuration.

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Prompt Templates

Prompt templates are the instructions that guide agent behavior. They define the agent’s role, personality, response guidelines, and how it uses knowledge and tools. See Prompt Templates for configuration and best practices.

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Tools

Tools extend agent capabilities beyond conversation. Agents can create support tickets, send emails, query external APIs, invoke other agents, and return rich UI components. See Tools for the complete list and configuration.

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LLM Configuration

Configure the AI models powering your agents at the global level, then override per-agent if needed:
  • Main model for conversations
  • Fast model for quick tasks
  • Reasoning model for complex analysis

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How Agents Work

When a user sends a message:
  1. Message Routing: Determine which agent handles the request
  2. Knowledge Retrieval: Fetch relevant documents from sources
  3. Prompt Assembly: Combine template + knowledge + context
  4. LLM Processing: Generate response using configured model
  5. Tool Execution: Call tools if needed (tickets, APIs, etc.)
  6. Response Delivery: Stream response to user

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Quality Assurance

AI Studio includes built-in testing and debugging:
  • Simulation Testing: Automated test suites with personas and expected outcomes
  • AI Debugger: Inspect retrieval scores, tool calls, and token usage for any conversation

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Configuration Hierarchy

Settings flow from global to specific. Per-agent settings override global defaults when set.

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Next Steps

Agents

Create and configure agents

Prompt Templates

Write effective prompts

Tools

Extend agent capabilities

Simulation Testing

Automated quality assurance

Agent Best Practices

Design patterns and tips

Getting Started Tutorial

Build your first agent step-by-step