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The AI Agent Lifecycle: A Simple Guide
The AI Agent Lifecycle guide outlines four stages-design, build, test, and monitor-with tools like Foundry Model Catalog, Azure AI Content Safety, and the Foundry Agent Service to ensure safety, compliance, and continuous improvement.
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Creating Autonomous Teams Agents Using OpenClaw, MCP, and Azure Container Apps
OpenClaw enables autonomous coding agents to automate development cycles in chat platforms, raising security and control concerns for production.
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Brady Gaster: Squad AI Agent - Episode 410
Brady Gaster, GitHub’s Principal PM Architect, introduces Squad AI Agent, an open-source framework enabling developers to orchestrate collaborative teams of specialized AI agents using GitHub Copilot.
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How to Cut GenAI and Agent Token Spend Without Cutting Capability
This guide optimizes GenAI and agent token usage by tracking total task run consumption through a token control plane, separating token reduction from rate limiting for precise savings reporting.
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Agentic Data Systems: Why AI Agents Need More Than a Vector Database
Agentic data systems need to advance past vector databases to handle speculative high-volume queries, maintain structured memory for persistent tasks, and incorporate verification tools due to limitations in managing agents' branching, retries, and coordination.
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Agent Memory Is Architecture, Not a Feature
Designing agent memory by defining storage locations, access controls, expiration policies, and retrieval methods is crucial to prevent both forgetting vital information and creating dangerous data swamps, as stated in the article.
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Building AI Agents from Zero to Production
Building AI Agents from Zero to Production is a seven-lesson open-source course using Azure's MAF and Foundry stack to guide developers through designing, developing, evaluating, deploying, securing, tooling, and orchestrating multi-agent systems for enterprise production environments.
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Finding Security Vulnerabilities using AI with Sami Laiho
Sami Laiho discusses how AI models like Anthropic’s Mythos and Microsoft’s MDASH are transforming vulnerability discovery, prompting an arms race to patch flaws before malicious actors exploit them with large language models.
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How Clustering can be Used as a Preprocessing Technique for Classification in Azure Machine Learning
Azure Machine Learning demonstrates how clustering can preprocess data, enabling the creation of more accurate classification models for specific subsets within large datasets.
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Building a Fully Managed Multi-Agent Pipeline with Microsoft Foundry
The workshop shows how to use the Foundry Toolkit in VS Code to create a "Resume → Job Fit Evaluator" multi-agent workflow with four specialized AI agents using fan-out and fan-in patterns, simplifying complex business processes.
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Answers You Can Trust: Grounding Enterprise Agents with Foundry IQ
Foundry IQ enables enterprise AI agents to ground their answers in an organization's own knowledge base, ensuring traceability, permission control, and compliance for critical business queries.
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Meet the IQ's: How Microsoft is Creating Context-Aware AI
Microsoft's IQ Platform integrates Work IQ, Fabric IQ, and Foundry IQ to offer contextual awareness through enterprise data and semantic understanding of work processes.
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Tool Calling Governance Is the New Agent Security Boundary
Tool calling governance is the new agent security boundary as it focuses on managing tool owners, purposes, schemas, and approval rules to mitigate operational risks.
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Choose the right speech and voice model
Choosing the right speech and voice model in Microsoft Foundry depends on whether you need conversation control, managed agent stacks, transcription artifacts, speaker diarization, high-quality narration, or multilingual translation services.
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HolmesGPT + Azure AI Foundry: A Quick Kubernetes Troubleshooting Demo
HolmesGPT combined with Azure AI Foundry demonstrates a rapid Kubernetes troubleshooting workflow, where an AI agent diagnoses scheduling issues in under five minutes using minimal setup requirements.
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Agents can learn with Memory in Microsoft Foundry Agent Service
Microsoft Foundry Agent Service introduces procedural memory to enhance AI agent learning from past experiences, boosting efficiency without labeled training data.
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Hello World: Your First Azure OpenAI Call in C#
This introductory C# sample demonstrates a minimal console app integrating Azure OpenAI via the Microsoft Agent Framework, showing prompt handling, model responses, and token usage.
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From Chatbot to Agent: Adding Tool Calling
The tutorial shows how function invocation lets models autonomously choose and loop through tools such as date/time retrieval, weather lookup, and calculations, turning chatbots into agents with notable boosts in token usage per tool call.
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Building Agents in Production with Toolbox, Skills, and Tool Search
Join a live Discord round table on July 22, 2026, to discuss how Microsoft’s Toolbox, Skills, and Tool Search capabilities can simplify integrating and managing tools for AI agents in production.
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MCP Turns Agent Tools Into an Enterprise Boundary
MCP standardizes how AI agents interact with enterprise systems, enabling secure, auditable tool access and governance through centralized servers rather than custom integrations.
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When RAG Fails, Treat Retrieval Like a Production System
Treating retrieval like a production system with quality gates, lifecycle management, monitoring, and incident response is crucial when RAG fails to prevent weak context from harming the model.
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Round Table: Building Browser-Capable Agents with the Browser Automation Tool
Join a 40-minute interactive Discord round table on July 22 at 2:30 PM BST (7:00 PM IST) to discuss how the Browser Automation tool in Microsoft Foundry helps agents perform real browser workflows, share your web automation challenges, and suggest improvements.
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Azure Content Understanding: Classify and Route to Different Analyzers
Azure AI Content Understanding automatically classifies mixed-document PDFs like invoices, bank statements, and loan applications for processing with separate analyzers using the .NET SDK.
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Public Preview: Protect sensitive generative AI telemetry in Application Insights and Microsoft Foundry
Azure Monitor's public preview adds a GenAIContent table for fine-grained access control of sensitive generative AI telemetry data.
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Important LLM benchmarks to know about
Understanding key LLM benchmarks such as ARC-AGI-2 for abstract reasoning, Terminal-Bench 2.1 for agentic coding, and ExploitBench for exploitation helps clarify each model's strengths in general intelligence, coding tasks, or security challenges.
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Beyond Benchmarks: The Lifecycle of Measuring Agentic Quality in AI Content Management
The article describes a comprehensive evaluation lifecycle for assessing agentic quality in AI content management within OneDrive and SharePoint, focusing on continuous multidimensional quality measurement through rapid inner-loop validation and real-world customer feedback.
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Choosing the Right Starting Point for Enterprise AI Agents with Copilot Studio and Microsoft Foundry
Choosing between Copilot Studio and Foundry depends on team expertise; low-code builders prefer Copilot Studio for quick business use, while developers opt for Foundry's code-first method for intricate custom AI apps.
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Grounding Copilot Studio Agents with Azure AI Search and Foundry IQ
The article showcases five retrieval patterns for an HR knowledge agent using Copilot Studio, Azure AI Search, and Foundry IQ, catering to various user needs with a shared knowledge base.
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Designing the AI Agent Execution Boundary: What Agents Should Never Be Allowed to Do
Designing the AI Agent Execution Boundary involves setting strict limits to prevent unauthorized permission expansion, identity misuse, destructive actions without approval, and change management bypasses for safety and accountability.
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Design, test, and ship Foundry hosted agents from a canvas in GitHub Copilot App
The Foundry Agent Canvas in GitHub Copilot App streamlines designing, testing, and deploying hosted agents with a unified visual interface that reduces friction during rapid experimentation.
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Introducing MAI-Image-2.5 Pro and MAI-Voice-2 Flash in Microsoft Foundry
MAI-Image-2.5 Pro targets professional creative workflows needing high visual fidelity and creative control, whereas MAI-Voice-2 Flash focuses on low-latency voice applications for real-time interactions in 15 languages.
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AT&T and Microsoft scale trillion-token workloads with Microsoft Foundry and AMD
AT&T used Azure’s Foundry Managed Compute and AMD GPUs to train Open Telco (OTel) 2.0 for telecom-specific AI at trillion-token scale with optimized cost, performance, and flexibility.
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1 million documents to 300+agents: Building an enterprise-scale Microsoft 365 Copilot connector
The new enterprise-scale Microsoft 365 Copilot connector integrates 1 million documents across 100,000+ users and 300+ agents, showcasing design choices for security, governance, schema decisions, operational patterns, and retrieval quality to enhance internal knowledge accessibility in Copilot.
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🏆 Agents League: Celebrating the Builders Who Made Agents Battle for Glory
The Agents League hackathon showcased winners like Afterlogin: The Hunt, which used one engine for both a SOC simulation and training game, demonstrating how multi-agent orchestration can serve diverse user experiences with high polish.
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For the first time, real-time transcription goes multilingual
Multilingual Post-Stream Refinement automatically detects spoken languages in real-time streams, enabling simultaneous transcription of multiple languages with low latency and improved accuracy.
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Post-Stream Refinement is now generally available in Microsoft Foundry
Post-Stream Refinement in Azure AI Speech’s Foundry now offers production-grade speaker diarization, phrase list support for domain vocabulary, and coverage across 19 locales in 22 regions, maintaining real-time streaming while improving final transcript accuracy.
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Microsoft Foundry hosted agents: lessons learned building a production multi-agent service
Building a production multi-agent service on Azure AI Foundry’s hosted agents teaches key lessons on choosing the right compute model and protocol for bursty or scheduled workloads, preserving session state across idle periods, and leveraging dedicated Entra identities per agent to limit blast radius while benefiting from built-in telemetry.
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AfterLogin: We Turned Forgotten-Account Cleanup into a Haunted-House Game with Microsoft Foundry
AfterLogin transforms forgotten-account cleanup into a haunted-house game with AI providing evidence for triaging accounts, solving the issue of distinguishing dormant from active accounts.
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Announcing the Open-Source Release of ML Video Codec (MLVC)
MLVC replaces traditional video primitives with end-to-end neural compression that runs on commodity NPUs and is currently powering video calls in Microsoft Teams.
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Claude Opus 5 is available today in Microsoft Foundry
Claude Opus 5 in Microsoft Foundry supports long-running, error-resilient agents for complex enterprise workflows with integrated advanced vision capabilities for handling visual and textual documents on a secure platform.
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Available today: Anthropic Claude Opus 5 in Microsoft 365 Copilot
Claude Opus 5 boosts Microsoft 365 Copilot with advanced features for complex coding, professional work, and long-term reasoning in Word, Excel, PowerPoint, Chat, Copilot Cowork, and Copilot Studio while preserving user control.