An executive manual on building multi-agent AI ecosystems in enterprise environments. It focuses on orchestration engines, agent communication protocols, security filters, cost management, and the business application of agentic automation.
Explore the components of an enterprise Multi-Agent coordinator. Click on nodes to investigate orchestration mechanics.
The core algorithmic core of an AI agent, implementing routing protocols, ReAct (Reasoning and Acting) structures, and dynamic task decomposition.
Step through the structural roadmap of the book. Read chapter summaries, find page references, and explore key takeaways.
Tracing the shift from static LLMs that process prompt-response patterns to active, autonomous agent systems. It outlines the core characteristics of agents: perception, decision-making, planning, and execution.
Purchase 'AI Agents at Work' through standard publishing channels.
Available globally in paperback, hardcover, and digital formats.
Purchase on AmazonOfficial catalog entry available in physical formats and NOOK devices.
Purchase on B&NOfficial catalog entry available through Harvard Book Store channels.
Purchase on HarvardTake your learning into practice with our orchestration platform and join the discussion on multi-agent systems.
An always-free sandbox application designed specifically to let you design, visualize, and deploy your own multi-agent coordination workflows in real-time.
Connect directly with the authors, share templates, discuss implementation challenges, and collaborate with other practitioners building enterprise workflows.