Move beyond the chat box and learn how to build a coordinated "team" of AI agents. In this hands-on lab, we will build a multi-agent system designed to handle workflows inspired by real-world applications. Leveraging Azure AI Foundry, we will transition from basic prompting to sophisticated orchestration, with a focus on accuracy, safety, and business value.

Participants will build:
- The Researcher Agent: A specialized agent using Azure AI Search and RAG (Retrieval-Augmented Generation) to extract and synthesize complex requirements from unstructured PDFs or compliance documents.
- The Analyst Agent: A governance-focused agent that utilizes Azure AI Content Safety and custom evaluation loops to audit outputs for bias, hallucinations, and alignment with responsible AI frameworks.
- The Writer Agent: A generative agent that consumes the verified data from the Researcher and Analyst to produce compliant, highly tailored professional responses.

Deliverables for your toolkit:
* System Prompt Library: A collection of production-ready persona instructions for specialized agent roles.
* Orchestration Template: A GitHub-style repository featuring an agent loop built on Python/Jupyter and Azure AI Prompt Flow.
* 1-page Governance Checklist: A practical framework for auditing AI-generated outputs to ensure reliability in high-stakes environments.