Using cloud-based AI tools can be frustrating. Since I primarily use Obsidian for note-taking, whenever I wanted to ask ChatGPT or NotebookLM about something, I had to copy my notes into a separate ...

Chatbots have been mere question-answering agents. Now, AI agents have been able to analyze data, make decisions automatically, and engage with real-world systems. For AI agents to be beneficial in a ...

The hyperscalers were quick to support AI agents and the Model Context Protocol. Use these official MCP servers from the major cloud providers to automate your cloud operations.

Imagine a world where your favorite tools and platforms work together seamlessly, powered by the intelligence of large language models (LLMs). No more clunky integrations, endless API documentation, ...

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...