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Managing Your AI Agents

This guide covers best practices for managing your deployed AI agents.

Build and test your agent in the development environment.

Deploy to staging for final validation before production.

Deploy your agent to production for end users.

Regular updates and improvements based on performance data.

  • Web widget
  • API endpoint
  • Mobile app integration
  • Messaging platforms

Configure deployment parameters and access controls.

Manage configuration across different environments.

Track active conversations and agent status.

Monitor key performance indicators:

  • Response time
  • Success rate
  • User satisfaction
  • Error rate

Set up notifications for critical events and issues.

Track and manage different versions of your agents.

Deploy updates and rollback if needed.

Plan and execute maintenance windows.

Manage team member access and capabilities.

Work together on agent development and management.

Maintain internal documentation for your agents.

Your agents are automatically backed up.

Create manual backups before major changes.

Restore agents from backups when needed.

Track API calls, compute usage, and costs.

Tips for reducing operational costs.

Manage your subscription and view invoices.