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Learn to build more reliable and trustworthy AI agents using seven powerful patterns implemented with BPMN (Business Process Model and Notation) in Camunda. Discover how to establish clear task boundaries, explicit handoffs, and proper supervision for AI agents through structured workflow modeling. Explore the Reasoning and Acting (ReAct) Pattern that creates reflection loops between reasoning and action tasks, and master the Modern Tool Use Pattern that provides AI agents access to external tools to prevent hallucinations. Understand the Agentic Retrieval Augmented Generation (RAG) Pattern for incorporating external knowledge, implement the Self-Reflection Pattern using gateways and evaluation subprocesses, and design Multi-Agent Workflows with message flows between separate participants. Learn to integrate human oversight through the Human-in-the-Loop Pattern using user tasks, and handle Long-running Agentic Orchestration spanning hours or days with timer events and intermediate states. Gain practical insights on combining these patterns in end-to-end processes and access GitHub repositories with implementation examples for each pattern using Camunda Web Modeler 8.8.x.
