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Microsoft explains through a series of four sessions how an application based on IChatClient becomes an agent capable of using tools, files, memory, and code execution, with controls for approval, monitoring, evaluation, and deployment. The series highlights that running an agent in a production environment requires permission isolation and clear governance, not merely the addition of new capabilities.
A discussion bringing together experts from Cadence, ChipAgents, Keysight EDA, Siemens EDA, and Synopsys explains that agentic AI has moved from automating individual tasks to running long, multi-agent flows, but it still relies on humans to define the design scope, verify results, and build guardrails that prevent critical errors.