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Understanding Harnesses: The Concept That Changes How You Build Agents in Copilot Studio
The GitHub Copilot harness in Copilot Studio introduces three distinct runtime layers-Chat, Standard, and GitHub Copilot-to allow developers to choose between model-agnostic goal-directed reasoning, explicit conversational flow construction, or traditional scripted agents, marking a significant evolution from the previous singular approach.
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Building Production-Ready AI Agents in Microsoft Foundry: 10 Lessons Learned
Building production-ready AI agents in Microsoft Foundry requires focusing on grounding, observability, resiliency, governance, and continuous monitoring to address issues like API timeouts, outdated content, tool failures, and unexpected token usage.
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Building Enterprise RAG on Azure: GPT-4o + Azure AI Search + Azure DevOps — End to End
Building Enterprise RAG on Azure combines GPT-4o with Azure AI Search’s hybrid search and Azure DevOps for seamless integration, ensuring precise, secure, and scalable generative AI applications.
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Enabling A2A endpoint and Agent Card for a Hosted Agent
With Microsoft Foundry’s hosted agents, developers can quickly set up an A2A endpoint and Agent Card, enabling other agents to discover and communicate with their containerized service via the standardized Agent-to-Agent protocol, while keeping configuration separate in control and data planes.
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Reducing Token Usage
Reducing Token Usage explores techniques like token management, context pruning, efficient history handling, lightweight summarization, TOON compression, and server-side computation to minimize token consumption in AI applications using the Microsoft Agent Framework.
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Benchmark Retrieval Patterns for Copilot Studio and Foundry IQ
The summary offers a reproducible framework to objectively compare retrieval patterns in Copilot Studio and Foundry IQ by separating latency, billing units, and quality signals.
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Consume Dataverse MCP server in Microsoft Foundry-Bringing business data to AI Agents
The Dataverse MCP Server allows AI agents to securely access and interact with Dynamics 365 and Power Platform data in real time, reducing custom integration needs to under 30 minutes.
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How to evaluate LLMs before production
Evaluating language models for production requires assessing real-world inputs, ambiguous labels, missing context, and distribution mismatches-issues not captured by clean benchmarks alone.
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Deploying to Foundry
Deploy the app using Docker, push to Azure Container Registry, register with Foundry, poll for active status, and invoke via its endpoint.
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AI overconfidence risks
The experiment assesses how various AI models impact code quality, architecture decision consistency, and associated risks in an inner source tool handling architectural choices.
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Copilot Studio | Adding Dataverse Knowledge Sources with the Web API (the "UI-Only" Rule That Isn't)
This article explains how to add Dataverse knowledge sources to Copilot Studio agents programmatically using the Web API, despite UI limitations, noting that these methods are undocumented and may change.
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The Economics of Agent Optimization: Four ways to lower the cost
Microsoft Foundry introduces four runtime levers to lower AI outcome costs by optimizing model selection, caching, prompt efficiency, and resource usage based on task complexity.
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Grok 4.6 comes to Microsoft Foundry Models: Built for long-horizon reasoning and complex workflows
Grok 4.6 for Microsoft Foundry Models is engineered for long-horizon reasoning and complex workflows, excelling across coding, engineering, office productivity, and technical problem solving with strong performance on benchmarks like Terminal-Bench 3.0 and 3DCodeBench.
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The Dark Side of Autonomous Agents - How to Stop Them
The presentation highlights how autonomous AI agents can become malicious execution vectors through manipulation of external file specifications, stressing the necessity of a zero-trust architecture with Policy Enforcement Points for security.
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Adding a Fallback Model to Hermes with Microsoft Foundry
Adding a fallback model with Microsoft Foundry to Hermes ensures redundancy and enterprise controls, allowing seamless failover when Bedrock is unavailable, all at pay-as-you-go token costs.
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Evaluating a Ternary Protein Language Model Architecture for Rapid Antibody Sequence Generation
The peleke-1bit architecture, using a ternary BitNet model with 26 tokens and 33.6 million parameters, achieves comparable antibody design performance to larger models while running efficiently on CPUs with minimal latency impact.
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Cohere Parse v5 is now available in Microsoft Foundry
Cohere Parse v5 integrates with Microsoft Foundry to convert enterprise documents into structured Markdown while preserving layout and supporting nine languages at up to 36 pages per second on an H100 node.
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Introducing Cohere Parse V5
Cohere Parse V5 transforms enterprise documents into structured Markdown, handling tables, forms, diagrams, and images across nine languages at 4.5 pages per second per GPU on Azure Foundry.
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Copilot Cowork browser use – First Look
Copilot Cowork's new feature enables AI to perform website tasks directly in Edge with your sign-in, following existing security policies, but needs admin activation and is active only when you're present.
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Azure Machine Learning AutoML for FinTech Startups: From Idea to Production
Azure Machine Learning AutoML accelerates FinTech startups' path from concept to production by automatically training and assessing various ML pipelines for classification, regression, and forecasting, allowing swift creation of dependable models with minimal data science resources.
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MCP vs. Tools vs. Skills: What AI Architects Need to Know
Understanding the distinctions between tools, MCP, and skills clarifies how AI architects should design reliable secure maintainable low-latency cost-efficient systems.
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Beyond Tokens: Rethinking AI Economics with Microsoft Foundry
Microsoft Foundry redefines AI economics by measuring value through outcomes instead of token consumption.