AI agents and agentic workflows are the current buzzwords among developers and technical decision makers. While they certainly deserve the community's and ecosystem's attention, there is less emphasis ...

As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...

What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

What does it take to get OpenAI and Anthropic—two competitors in the AI assistant market—to get along? Despite a fundamental difference in direction that led Anthropic’s founders to quit OpenAI in ...

The Model Context Protocol (MCP) for agentic AI has gained much traction since being introduced by Anthropic last November, and now it has a C# SDK. The MCP is a standard for integrating large ...

While working on a research paper, I decided to test one of the leading AI assistants and asked Anthropic’s Claude to analyze hundreds of emails and build a spreadsheet of recent Nobel Prize-winners.

Grasshopper Bank launched a first-of-its-kind Model Context Protocol (MCP) server that will enable its business banking clients to get personalized financial analysis and insights through Claude, ...