Workflow

A workflow is a defined sequence of steps that an AI agent follows to complete a task. Workflows specify the order of actions, decision points, tool calls, and human-in-the-loop touchpoints that guide an agent from a starting state to a desired outcome.

Workflows vs. Agentic Workflows

The term *workflow* is broad. In the context of AI agents, an agentic workflow is a workflow where the agent has autonomy to decide its own path rather than following a rigid script.

Components of an Agent Workflow

A typical agent workflow includes:

1. Trigger — An event or instruction that starts the workflow
2. Planning — The agent determines the approach
3. Execution — The agent runs tools and produces outputs
4. Checkpoints — Points where the agent pauses for human approval or input
5. Completion — The agent signals the workflow is done

Designing Workflows with AgentRQ

AgentRQ enables you to build human-in-the-loop workflows for Claude Code agents. A well-designed AgentRQ workflow looks like:

1. Agent receives a task (e.g., "implement OAuth login")
2. Agent calls getWorkspace to understand project context
3. Agent creates a task via createTask with status ongoing
4. Agent works autonomously — reading code, writing implementation
5. Agent sends notification via reply when it reaches a decision point
6. Human reviews and responds
7. Agent continues to completion
8. Agent calls updateTaskStatus to mark the task completed

Related Terms

• → Agentic Workflow
• → Task
• → Human-in-the-Loop
• → Approval
• → Agent