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198 practical engineering posts Newest first. Filter the archive by year or topic, then keep scrolling.
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Copilot Studio Memory: Off Does Not Mean Deleted — Jannik Reinhard with a real Copilot Studio demo-tenant screenshotRead Copilot Studio Memory: Off Does Not Mean Deleted
Oct 4, 2026AI

Copilot Studio Memory: Off Does Not Mean Deleted

I opened the Build page of my Copilot Studio demo agent and looked at the Memory switch. It was off. That is a useful observation, but it does not answer every data-handling question. Microsoft documents that turning Memory off prevents the agent from using stored memories. It does not delete those memories. If your change record says “memory disabled and all stored information removed,” one toggle is not enough evidence. Copilot Studio Memory documentation. That distinction is worth understanding before adding memory to a production agent. Here is how I would review the feature, using an existing policy-assistant draft in my ModernDevMgmt tenant.

Read article: Copilot Studio Memory: Off Does Not Mean Deleted
Copilot Studio Costs Start Before You Publish — Jannik Reinhard with a real Copilot Studio demo-tenant screenshotRead Copilot Studio Costs Start Before You Publish
Oct 1, 2026AI

Copilot Studio Costs Start Before You Publish

The new Copilot Studio home page makes it easy to start an agent. There is another label on the same page that deserves just as much attention: Uses Copilot Credits. If your mental model is “we pay once the agent is published,” it is time to check which harness you are using. With the GitHub Copilot harness, the work before publication matters too. That changes how I would plan a demo, a development environment and a production pilot. I opened my ModernDevMgmt tenant to look at the current experience. The screenshots below are fresh portal captures from 28 September 2026, not Microsoft documentation images. I inspected existing demo agents without changing their configuration, running prompts or publishing them. Cost-control guidance is linked to Microsoft's documentation; this was not a billing or enforcement benchmark.

Read article: Copilot Studio Costs Start Before You Publish
Microsoft Agent 365: A Live Portal Overview — video with Jannik ReinhardRead Microsoft Agent 365: A Live Portal Overview
Sep 30, 2026AI

Microsoft Agent 365: A Live Portal Overview

Microsoft Agent 365 gives administrators a place to inspect the agents around their organization: which agents exist, who owns them and where their identities and management settings can be found. In this episode, I explore that experience in my demo tenant. This is a portal overview with a few administrative actions, not a claim that the tenant has a complete, production-tested governance setup. Some agents are still drafts, activity is limited, and one policy-template flow does not accept the license state as expected. Those details are part of the walkthrough. Video language: German · Duration: 15:38 · Released 30 September 2026. The recording reflects the portal and demo-tenant state at the time it was made; availability depends on licensing and rollout.

Read article: Microsoft Agent 365: A Live Portal Overview
Copilot Budgets: Which Settings Actually Stop Usage? — Jannik Reinhard with a real Copilot Studio demo-tenant screenshotRead Copilot Budgets: Which Settings Actually Stop Usage?
Sep 29, 2026AI

Copilot Budgets: Which Settings Actually Stop Usage?

You give a Copilot pilot a budget. Someone enters a number in an admin portal. Finance expects the service to stop at that number. That expectation is worth checking before the pilot starts. Some Copilot budgets send alerts. Other controls restrict access or turn an agent off. They are not interchangeable. The answer depends on the service, the billing experience and the setting you configure. I would start with the control, not the credit price: what exactly should happen when the team reaches its allowance? This guide separates the main control types and gives you a practical review plan. Product information was checked on 28 September 2026. The screenshot comes from my ModernDevMgmt demo tenant. Billing and enforcement behavior below is Microsoft-documented; I did not enable paid billing or run a limit-exhaustion test for this article.

Read article: Copilot Budgets: Which Settings Actually Stop Usage?
Copilot Chat vs Cowork vs Autopilot: Jannik Reinhard with Microsoft’s official Autopilot preview in the laptopRead Copilot Chat vs Cowork vs Autopilot: What to Use When
Sep 28, 2026AI

Copilot Chat vs Cowork vs Autopilot: What to Use When

You need to prepare Friday's service review. Do you want help understanding the numbers, a finished review pack, or someone to keep following up during the week? That is how I would approach Copilot Chat vs Cowork vs Autopilot. Start with the responsibility you want to hand over. The product name comes second. In this guide, I compare the three options using the same practical example. I also cover licenses, consumption costs and the controls to check before a rollout. Status checked: 27 September 2026. This article covers commercial Microsoft 365. Autopilot is the new name for Scout and remains in private preview. Its section is based on Microsoft's announcement, not a claim that I have tested it in my tenant. Microsoft's announcement This comparison is about three ways of working inside Microsoft 365 Copilot: asking, delegating a task and ongoing follow-up. If your question is whether to use a ready-made experience or build a reusable business agent, start with my Copilot, Copilot Studio and custom agents guide.

Read article: Copilot Chat vs Cowork vs Autopilot: What to Use When
The Enterprise Agent Control Plane I Want - Jannik ReinhardRead The Enterprise Agent Control Plane I Want
Sep 24, 2026AI

The Enterprise Agent Control Plane I Want

I do not want another dashboard for enterprise AI agents. I want an enterprise agent control plane that can answer who owns an agent, what it can call, how it behaves and how to stop it. In this blog post I explain the five layers I would connect: identity, catalog, policy, telemetry and lifecycle. Microsoft Foundry now has a Control Plane experience for visibility and lifecycle operations across agents. That is an important platform building block. My broader point is that an enterprise control plane is also an operating model. It has to connect the AI platform with Microsoft Entra ID, Azure API Management, monitoring, data governance and the teams that own the affected systems.

Read article: The Enterprise Agent Control Plane I Want
Microsoft Foundry Python Agents: Build a Policy Assistant — video with Jannik ReinhardRead Microsoft Foundry Python Agents: Build a Policy Assistant
Sep 22, 2026AI

Microsoft Foundry Python Agents: Build a Policy Assistant

Microsoft Foundry Python agents become easier to understand when you separate three steps: call a model, create an agent, and run that agent against a real question. In this episode, I walk through those steps in VS Code using an IT policy assistant as the example. The useful part is not getting another chatbot to answer “What is MFA?” It is moving from that simple connectivity check to an agent that can look up company policy and return sources. Watch the complete walkthrough below; the written notes explain the boundaries between the scripts and the checks I would make before using the same pattern in an application. Related Python examples: You can find model calls, agents and Azure AI Search examples in my Microsoft Foundry examples repository on GitHub. This is a broader collection, not an exact copy of the three scripts in this video. Some agent examples use the classic Agent Service API, so follow the repository README for the matching SDK and setup. Video language: German · Duration: 10:05 · Released 22 September 2026.

Read article: Microsoft Foundry Python Agents: Build a Policy Assistant
Five Gates Before an MCP Tool Reaches Production - Jannik ReinhardRead Five Gates Before an MCP Tool Reaches Production
Sep 17, 2026AI

Five Gates Before an MCP Tool Reaches Production

Connecting a Model Context Protocol server to an agent is easy. The difficult part starts when that connection can reach a real business system. For MCP tool production, I want five gates to pass before the first user can rely on it: identity, scope, limits, approval and evidence. In this blog post I explain what I check at each gate and where Azure API Management can help. This is not a generic zero-trust checklist. It is the practical review I would use for an MCP tool that reads or changes enterprise data. The goal is simple: every call should have an accountable caller, a narrow permission, a controlled impact and enough evidence to explain what happened.

Read article: Five Gates Before an MCP Tool Reaches Production
Copilot vs Cowork vs agents: Jannik Reinhard with the new Copilot Studio experience, licenses, costs and governanceRead Copilot vs Cowork vs Agents: Licenses, Costs and Governance
Sep 16, 2026AI

Copilot vs Cowork vs Agents: Licenses, Costs and Governance

You want AI to prepare a rollout meeting. Should you ask Copilot, delegate the work to Cowork, or build an agent? All three might help. But you would be buying, operating and governing three different things. One approach may need only a prompt. Another needs a consumption budget. A third becomes a service that somebody has to maintain. In this Copilot vs Cowork vs agents guide, I explain how I would make that decision. We will look at each option, its licenses and charges, and the governance boundaries. I also walk through the new Copilot Studio interface with real product screenshots. Scope and date: commercial Microsoft 365, checked on 16 September 2026. This is not a comparison with consumer Copilot, Claude Cowork or the GitHub coding subscription. Prices below are US public list prices, excluding tax, base subscriptions and contractual discounts. Availability varies by region, cloud, license and rollout. This guide focuses on the platform decision: use Microsoft 365 Copilot, configure a Copilot Studio agent or build with Microsoft Foundry. For the narrower question of interactive help, delegated work and ongoing follow-up, see my Copilot Chat vs Cowork vs Autopilot comparison.

Read article: Copilot vs Cowork vs Agents: Licenses, Costs and Governance
Azure API Management MCP: The Control Plane for Agent Tools - Jannik ReinhardRead Azure API Management MCP: The Control Plane for Agent Tools
Sep 10, 2026AI

Azure API Management MCP: The Control Plane for Agent Tools

MCP makes it easy to connect an AI agent to tools. That is useful for a demo, but an enterprise needs more than a connection string. It needs identity, a controlled tool surface, rate limits, monitoring and a clear owner. In this blog post I show how I would use Azure API Management MCP as the control plane between agents and enterprise tools.

Read article: Azure API Management MCP: The Control Plane for Agent Tools
Detect and Block Shadow AI with Intune: OpenClaw in Practice - Jannik ReinhardRead Detect and Block Shadow AI with Intune: OpenClaw in Practice
Sep 3, 2026Intune

Detect and Block Shadow AI with Intune: OpenClaw in Practice

Local AI agents are moving from developer experiments to normal Windows endpoints. They can read files, call tools and act with the permissions of the signed-in user. That makes them useful, but it also creates a new blind spot for endpoint teams. In this blog post I show how the new Intune Shadow AI controls can discover local agents such as OpenClaw, give you useful inventory data and help you decide what to control.

Read article: Detect and Block Shadow AI with Intune: OpenClaw in Practice
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