frameworks for identifying promising use cases, clear patterns for designing agent logic and orchestration, and best practices to ensure your agents run safely, predictably, 
 and effectively. After tradeoffs related to task complexity, latency, and cost. As we’ll see in the next section on Orchestration, you might want to consider using a variety 
 of models for different tasks in the workflow. hand-off a customer service ticket to a human. Orchestration Agents themselves can serve as tools for other agents—see the Manager Pattern in the Orchestration section. Refund agent, Research agent, Writing

part of AI Companion 2.0, we added advanced agentic capabilities, including memory, reasoning, orchestration, and seamless integration with Microsoft and Google services. - Zoom Founder & CEO Eric Yuan TV • Project Moohan • Glasses with Android XR • Magentic-UI • Copilot Studio multi-agent orchestration • GitHub Copilot asynchronous functioning • Azure AI Foundry expansion • NLWeb • Model Context