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AI & Automation
Agentic Workflows: Introduction to Multi-Agent AI Systems
When you need one AI, when you need many coordinating. An introduction to agentic workflows for beginners.
Phi LuCo-founder, North America Operations
7 min read
Single Agent vs Multi-Agent
A single AI is great for simple tasks: answering questions, writing content. But for complex processes — research, decide, execute, verify — you need multiple specialized agents.
Real-World Example
A content research workflow: Agent 1 researches the topic, Agent 2 outlines the article, Agent 3 writes the draft, Agent 4 fact-checks. Each agent has a clear role, its own prompt, and a way to verify the other's output.
Popular Tools
- **n8n** — workflow builder with AI nodes
- **OpenClaw** — framework for orchestrating multiple agents
- **LangGraph** — state machine for agent coordination
Considerations Before Deployment
Agentic workflows are more complex than single agents. Only use when a single agent truly isn't sufficient — and always monitor and audit decisions.