Agent Layer

Agents & Orchestration

Explain what agents are, where they are appropriate and how autonomous systems should be structured.

Why This Matters

Most teams reach for an agent before they have a workflow. Orchestration is how you decide autonomy, human gates, and failure handling before the model starts looping.

Architecture Position

Agents occupy the Agent Layer and the Experience Layer. Planning, orchestration, and tool use happen here; durable execution belongs to the Runtime Layer. See it on the architecture map.

Start Here

Core Concepts

Fundamentals

  • What is an agent?
  • Agent vs workflow
  • Agent vs assistant
  • Levels of autonomy

Agent Loop

  • Observe
  • Reason
  • Act
  • Evaluate

Patterns

  • ReAct
  • Router
  • Planner / Executor
  • Supervisor / Worker
  • Reflection

Orchestration

  • Sequential execution
  • Parallel execution
  • Event-driven agents
  • Dynamic workflows

Multi-Agent

  • Agent delegation
  • Handoffs
  • Coordination
  • Shared state
  • Specialist agents

Human Control

  • Human-in-the-loop
  • Human-on-the-loop
  • Approval gates

Failure

  • Goal drift
  • Infinite loops
  • Tool misuse
  • Excessive autonomy

Advanced

Advanced material

Deeper guides for this domain are on the way.

Coming Soon

Architecture Patterns

Applied patterns for this domain live in the pattern library.

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Case Studies

Enterprise walkthroughs that apply this topic in a full system.

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Related Topics

Roadmaps

This topic appears in the Enterprise AI Architect path.

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Go deeper

Learn this as part of the Agent Systems Architecture course.

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