AI agents are moving beyond individual interactions towards systems that can maintain context, manage ongoing tasks and act while users are away. This article examines the architecture behind persistent intelligence, from memory and task orchestration to cloud execution, proactive coordination, multi-agent systems and governance.

Google’s intelligence ecosystem is extending beyond individual models into a broader architecture of reasoning, multimodal generation, interactive simulation and connected applications. This article examines how Gemini, Genie and Connected Apps fit into that emerging stack, exploring MCP integration, Android AppFunctions, delegated authorisation, execution boundaries and the governance required to connect intelligence with external systems.

AI work agents are changing how people interact with software. This article examines the architecture behind agent workspaces, exploring orchestration, execution environments, application connectivity, permissions, security and the systems required to complete meaningful work.