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.
Always-On AI Agents: Persistent Intelligence Architecture Read More »
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.
Google’s Emerging Intelligence Stack: Gemini, Genie and Connected Apps Read More »
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.
The Architecture of AI Work Agents: Execution, Permissions and Deliverables Read More »
Why the next generation of software is being built around goals, execution environments and completed work
Machine intelligence did not emerge in isolation. It rests on capabilities developed across generations of scientific discovery, industrial production, computing, digital information and institutional organization. This concluding essay brings the series together to examine how these separate foundations became compatible, scalable and mutually reinforcing.
When machine learning produces capabilities that can be reused across tasks and applications, its role changes from solving individual problems to supporting a broader production system. This essay examines how foundation models, training, inference and deployment turn learned capabilities into reusable components, reshaping the economics of building and operating AI systems.
The Industrialization of Intelligence | DataGuy Editorial Read More »
