Getting Started

Step-by-step guide to creating and deploying your AI agent system with Control Hub.

This guide walks you through the complete workflow from entering Control Hub to having a deployed, production-ready AI agent system.

Step 1: Agentic System Generation

When you enter Control Hub from a use case, the AI architect automatically generates a multi-agent system tailored to your specific use case. The system creates:

  • Specialized agents tailored according to your use case
  • Platform agents to manage overall infrastructure, security and observability
  • Appropriate model selections for each agent
  • Tool configurations based on required capabilities
  • Memory settings for conversation management
  • System prompts that define agent behavior

Generation typically produces 3-7 agents depending on use case complexity.

Step 2: Review Your Agents

Examine each generated agent to understand its role in the system:

  • What problem does this agent solve?
  • What tools does it need access to?
  • How does it communicate with other agents?
  • What model is appropriate for its complexity?

Step 3: Configure Tools

Connect your agents to the systems they need:

  • Knowledge Base (RAG) -- Upload documents or connect data sources like Confluence, SharePoint, or S3
  • Business Integrations -- Connect to Slack, Gmail, Jira, Salesforce, and other tools
  • Web Search -- Enable real-time internet search capabilities

Step 4: Refine with Natural Language

Use the chat interface to modify your architecture:

  • "Add a Slack integration to the support agent"
  • "Change the coordinator to use long-term memory"
  • "Add a sentiment analysis agent to the team"

The AI architect updates your configuration in real-time.

Step 5: Test Your Agents

Switch to the Test Bed to validate agent performance:

  1. Review the extracted features from your architecture
  2. Run tests to evaluate agent behavior
  3. Inspect execution traces to understand agent reasoning
  4. Identify and fix any failing tests

Iterate between configuration and testing until all features pass.

Step 6: Access Your API

After deployment:

  1. Copy your API endpoint URL
  2. Generate an API key (store it securely -- shown only once)
  3. Start making requests to your deployed agents

Your multi-agent system is now live and ready for integration.

Step 7: Deploy to Production

When satisfied with your agents:

  1. Click "Approve" to trigger deployment
  2. Monitor the deployment progress
  3. Wait for code generation and infrastructure provisioning (3-6 minutes)