Showing category results for AI Apps

Grounding an assistant in runbooks is straightforward. The harder part begins when the model proposes an action that requires authorization. An operations assistant needs stronger controls as soon as it can act. Answering "which runbook covers this alert" is a search problem. Opening an incident from that same conversation is a control...

At Microsoft Build, we are sharing how Microsoft Marketplace brings development, distribution, and monetization together— so apps and agents move beyond prototyping into real-world usage at scale. Microsoft Marketplace connects tens of thousands of cloud and AI solutions built by software development companies to millions of commercial customers. ...

~1,900 lines of Python. Zero dependencies. Saves you an hour a day. GitHub → ·  Now give Copilot CLI enhanced context recall. Point it at  and let it cook. 🍳 Are you tired of using the slash /compact command every 10 min? The Context Window Is a Lie Every AI coding agent ships with a big number on the box. 200K tokens. Sounds massive...

AI agents are quickly moving from experiments to production‑critical components of modern applications. But while many teams know how to build agents, far fewer are confident they’re hosting them on the right foundation. Most organizations start by deploying agents the same way they deploy microservices—containers, functions, or app services. ...

The path from prototype to production for AI/ML workloads is rarely straightforward. As data pipelines expand and model complexity grows, teams can find themselves spending more time orchestrating distributed compute than building the intelligence that powers their products. Scaling from a laptop experiment to a production-grade workload still feel...

Learn how to deploy a self-hosted AI assistant that leverages Microsoft Learn content via the Model Context Protocol (MCP) and Azure OpenAI. It’s fast, secure, and ready for developer use in real-world apps. Prerequisite This guide assumes you already have an Azure OpenAI resource provisioned in your subscription, with a deployed model (e.g., g...

If you’ve been following along with the AI Genius Series, you already know we’ve been on a journey, one filled with learning, experimentation, and discovery. We’ve explored the power of Retrieval Augmented Generation (RAG), dived into Copilot deployment, and unlocked the potential of Azure’s AI ecosystem. But now, it’s time to take all that knowled...

Author: Charath Ranganathan, CTO, Crowdbotics Modernizing legacy applications is one of the most daunting tasks facing enterprises today. These systems, often built decades ago using technologies like COBOL on mainframes, power critical business functions but are notoriously difficult, time-consuming, and expensive to update or replace. The proc...

The inspiration for this project came from my desire to leverage AI to create a tangible product that you can hold, touch, and share.  Cardmaker showcases the capabilities of modern AI as a tool to help its user craft a custom card deck.  But that's not all.  It also provides a unique and tangible product that can be used for educational purposes, ...

Imagine an AI-powered world where assistance goes beyond tasks -- where intelligent agents debate, learn and collaborate with the wisdom of history's greatest minds. What if Socrates, Plato, and Aristotle could step into the digital age, engaging in vibrant discussions and offering their timeless perspectives. In this article, I'll delve into how A...