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Azure is a cloud computing platform provided by Microsoft, offering a range of services such as virtual machines, databases, analytics, and more. It enables businesses to build.
Generative AI autonomously creates diverse content like images, music, and text by learning patterns from data. It's applied in art, design, gaming, and content generation.
Scripting automates tasks with sequences of commands, while automation executes them without human intervention, enhancing productivity and reducing errors, vital in software, system admin, and data analysis.
As a follow up to my previous post: Handling truncated Logic App AI Agent output for autonomous agent workflows without human interaction … where I
I’ve just gotten back from vacation and am a little behind on my weekly posts, so I wanted to share a short entry that builds
Browser MCP LM Studio is the setup I’ll walk through in this post. 2025 has been the busiest and probably the most demanding year of
This post walks through configuring a Logic App MCP Server so an AI Foundry agent can call it as a tool. One of the recent
Azure Firewall Logs are something I work with often, and troubleshooting them well starts with reviewing them carefully. Being a team lead who is also
WAF Managed Rules Exclusions are something my recent project has gotten me to take part in much of the hands on work for, along with
Logic App AI Agent output that gets truncated has been a frustrating problem to solve. As a follow up to my previous post: Using AI
A Conversational AI Agent RAG setup is what I wanted to build this time. As I continue to explore creating AI-powered automation with Logic App,
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