Google Cloud has outlined a workflow for building and managing AI agents through its Gemini Enterprise Agent Platform, designed to cover development, deployment, governance, testing and publication in a single process. To show how the system works, Google used a semiconductor research tool called Industry Watch, which compares company announcements and news coverage with filings made to the US Securities and Exchange Commission, using live data rather than a model's stored knowledge. Google said many AI projects fail to move beyond the prototype stage because developers must switch between coding tools, cloud consoles, identity settings and deployment systems; its answer is a command-line tool called Agents CLI. In the Industry Watch example, the build process begins with a prompt asking a coding agent to scaffold a new ADK agent for a group of semiconductor stocks including NVDA, AMD, INTC, MU and AVGO. The generated project is expanded with three deterministic tools: one to fetch SEC 8-K filings, one to gather public claims from news and investor relations feeds, and one to reconcile those two sets of records. Once built locally, the example agent is deployed to a managed runtime, turning a local script into a service that can support repeated use, retain context and isolate deterministic processing from the model.