The Power Platform has come a long way from building basic canvas and model-driven apps. With the introduction of AI Copilots and natural language experiences, there's a new frontier for makers and developers: integrating AI prompts directly into Dataverse through a Prompt Column. In this post, we’ll dive into: What is a Prompt Column? How … Continue reading From Field to AI-Powered Insight: Mastering Prompt Columns in Dataverse →

Kusto Query Language (KQL) enables developers to monitor, analyze, and troubleshoot their Copilot implementations through Azure Application Insights. Below are some essential KQL queries designed to optimize Copilot Studio's performance and enhance user experience. 1. Analyze Overall Bot Usage requests| where url endswith "/messages"| summarize MessagesCount = count() by timestamp, user_Id| order by timestamp desc … Continue reading Using KQL for Monitoring and Optimizing Microsoft Copilot Studio →

Telemetry tracking is a game-changer for optimizing AI-driven customer experiences in Microsoft Copilot Studio. By capturing essential data on interactions, user behavior, and system performance, telemetry allows administrators and developers to gain actionable insights to improve bot functionality. Microsoft Copilot Studio’s Bot Framework Composer integrates powerful telemetry tracking features, making it easier than ever to … Continue reading Maximizing Insights with Telemetry in Microsoft Copilot Studio’s Bot Framework Composer →

In any AI-driven platform, robust logging capabilities are crucial for tracking activities, managing performance, and ensuring a seamless user experience. In Microsoft Copilot Studio, logging is designed with a focus on administrative control and insight, allowing administrators to monitor operations, diagnose issues, and analyze trends. This post delves into the key aspects of logging in … Continue reading Enhancing Accountability and Insight with Copilot Studio Logging →

In today’s rapidly evolving AI landscape, conversational agents need to do more than just respond—they need to engage, solve problems, and provide helpful, relevant answers. In Microsoft Copilot Studio, this level of interaction is made possible through Natural Language Understanding (NLU) with prompt modifications for generative answers. By using prompt modifications, Copilot Studio users can … Continue reading Enhancing Conversational AI in Microsoft Copilot Studio: Using Prompt Modifications for Generative Answers →

Advanced Flows in Microsoft Copilot Studio take conversational experiences to new levels by connecting and automating complex workflows across applications. With Advanced Flows, you can tap into Microsoft Power Automate's power to seamlessly perform background tasks, retrieve and manage data, and interact with external applications—all while delivering a smooth, dynamic conversation experience. This blog post … Continue reading Unlocking Advanced Flows in Microsoft Copilot Studio: Automate, Integrate, and Enhance Your Conversations →

Microsoft Copilot Studio provides an array of tools to create intelligent and interactive conversational experiences. For users who want to push the boundaries of what their copilots can achieve, Advanced Plugin Actions offer a pathway to extend capabilities even further. These actions allow you to integrate complex workflows, access external data, and execute custom actions … Continue reading Exploring Advanced Plugin Actions in Microsoft Copilot Studio: Extend and Customize Your Copilot Experience →

In Microsoft Copilot Studio, delivering intelligent, responsive, and comprehensive conversational experiences often requires access to external data sources and systems. The HTTP Node enables copilots to fetch, send, and interact with external APIs, making it easier to integrate third-party data directly into your conversational flow. In this post, we’ll explore the capabilities of the HTTP … Continue reading Leveraging the HTTP Node in Microsoft Copilot Studio for Advanced Integrations →

In the evolving field of AI-driven customer interactions, Natural Language Understanding (NLU) plays a key role in providing accurate and personalized responses. Microsoft Copilot Studio’s NLU Boost Node is designed to advance conversational intelligence by enabling copilots to better understand and respond to users. Let's dive into how the NLU Boost Node works, what it … Continue reading Enhancing Conversational AI with the NLU Boost Node in Microsoft Copilot Studio →

Understanding how to work with variables in Microsoft Copilot Studio is essential for creating a responsive, personalized experience. Variables in Copilot Studio allow users to capture, store, and utilize responses to craft tailored conversation flows and to control conditions based on real-time data. Here’s a comprehensive look at how variables enhance functionality and streamline processes … Continue reading Mastering Variables in Microsoft Copilot Studio for Enhanced Interactivity →