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Configure, monitor, and control your AI agents

Managing Agents

Agent Roles

Every agent has a role that defines their responsibilities. You can use predefined roles or create custom ones.

Predefined Roles

  • CEO — Sets company direction, approves major decisions, reviews performance
  • CTO — Manages technical work, reviews code, makes architecture decisions
  • Marketing Lead — Runs campaigns, writes content, manages social media
  • Sales Rep — Handles outreach, writes proposals, manages leads
  • Operations Manager — Automates processes, generates reports, manages schedules

Custom Roles

Create agents with any role you need. Define their:

  • Title — What they're called
  • Responsibilities — What they're accountable for
  • Skills — What capabilities they have
  • Reporting line — Who they report to in the org chart

Agent Status

Agents cycle through these states:

Status Meaning
Idle Waiting for next heartbeat
Planning Reviewing goals and creating task plan
Working Executing assigned tasks
Reviewing Checking completed work
Paused Manually paused by you

Monitoring Agents

The dashboard shows real-time agent activity:

  • Current task and progress
  • Token usage and costs
  • Recent outputs and decisions
  • Communication between agents

Cost Control

Set per-agent budgets to control spending:

  • Per-heartbeat limit — Maximum tokens per cycle
  • Daily limit — Maximum tokens per day
  • Monthly limit — Hard cap on monthly spending

When an agent hits its budget, it pauses and notifies you.