Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential pipelines to human-in-the-loop architecture. The guide provides concrete ...

The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...

The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

Model Context Protocol (MCP), a new open standard that defines how AI systems connect to data and tools, helps solve the ...

Google has unveiled its Agent SDK, a comprehensive toolkit aimed at simplifying the creation and deployment of AI agents. This strategic release positions Google as a key player in the competitive AI ...

For most people, the future of artificial intelligence still looks like a single assistant that can handle anything. In ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...