Why your agent's knowledge breaks on import (and how to fix it)
When you promote a Copilot Studio agent through ALM, the Dataverse search connector behind your knowledge source doesn't recreate itself. Here's the fix.
When you promote a Copilot Studio agent through ALM, the Dataverse search connector behind your knowledge source doesn't recreate itself. Here's the fix.
Meetings aren't about efficiency anymore. They're the richest context you'll ever give an AI. The question is what happens after.
How building a custom chunking pipeline for an HR triage agent taught me everything Microsoft was about to solve natively.
Short-term memory in Copilot Studio isn’t about persistence - it’s about continuity. By promoting confirmed conversational state into session memory between execution passes, agents maintain context, avoid drift, and behave consistently across multi-step interactions.
Most Copilot Studio agents fail by being too rigid. Clear roles matter, but over-prescribed flows turn agents into brittle utilities. Flexible execution—planning, checking, adapting—is what makes agents useful beyond demos.
Explore how to build Copilot Studio agents that reason and plan through multi-step actions. Learn to structure topics with inputs and outputs for agentic behaviour, non-deterministic outcomes, and richer, context-driven responses.
This article explains how Copilot Studio grounds custom AI prompts on Dataverse tables, enabling precise, structured, and filtered data retrieval.
AI chatbots are powerful on their own, but they often need a little help to perform specific tasks. For example, imagine your chatbot giving
What we’ll cover In this blog post, we’ll explore how Microsoft Entra Access Packages can make managing permissions in SharePoint Online a