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.
Frequently asked questions
What are the differences between agentic workflows and traditional chatbots?+
Agentic workflows utilize multiple specialized AI agents to handle complex tasks, while traditional chatbots simply respond to questions based on available data without the ability to decide the next step. MADIAD develops these systems to automate workflows more efficiently.
What are the typical components of an agentic workflow?+
A typical agentic workflow consists of three main layers: an orchestrator agent for coordination, specialized agents for specific tasks, and a tool layer for interaction with the external world. MADIAD uses n8n to connect these agents and tools together.
What are the benefits of using agentic workflows in content production?+
Using agentic workflows in content production saves time, reduces errors, and enhances accuracy. For instance, the content research and production process can be completed in 8-12 minutes instead of the previous 3-4 hours.
What framework has MADIAD developed to support multi-agent systems?+
MADIAD has developed OpenClaw, a framework that addresses limitations of existing multi-agent tools, such as hallucination issues, and ensures verification steps between agents. This improves the accuracy and reliability of the workflow.