Introduction Through Chapter 6 (Fine-tuning), we focused on improving a single AI system....
Introduction
Through Chapter 6 (Fine-tuning), we focused on improving a single AI system. This chapter introduces multi-agent design, where multiple Agents collaborate on complex tasks.
Our previous Agent implementations used a "one Agent does everything" approach. For complex tasks, putting all responsibility on a single Agent has limits.
[Single Agent (before)]
User → Agent → Tools → Answer
One AI agent answering a question is useful. Five agents that divide a complex task, pass state to...
Introduction As enterprises move from experimenting with individual AI agents to deploying...
Single-agent AI systems peaked in 2025 — you gave one LLM a prompt, some tools, and a goal, and it...
When One Agent Isn't Enough The previous eight articles built single-agent systems: one...
Single-agent, orchestrator-worker, reflection, and more. Learn the 5 agentic AI architecture patterns and what your data layer…
Building Multi-Agent Systems with Python: Orchestration Patterns That Work The AI agent...
