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Using Copilot Studio with Dataverse: A Developer’s Guide
In today’s enterprise world, harnessing artificial intelligence to drive insights and respond to user questions is no longer optional — it’s essential. With Copilot Studio and Microsoft Dataverse, developers and makers can build intelligent agents and copilots that tap into structured business data and deliver meaningful results. This guide walks through how to use Copilot Studio with Dataverse, with practical steps, design considerations, and best practices. https://dellenny.com/using-copilot-studio-with-dataverse-a-developers-guide/Create Learning Journals with Copilot in OneNote
In today’s fast-paced world, continuous learning is not just an option—it’s a necessity. Whether you’re a student, a professional, or a lifelong learner, keeping track of what you learn and how you grow is crucial. That’s where learning journals come in. They help you reflect on your experiences, capture insights, and measure progress over time. But let’s be honest—keeping a learning journal can feel tedious and time-consuming. Writing reflections, summarizing lessons, and organizing notes often take longer than the actual learning itself. Fortunately, Microsoft Copilot in OneNote is changing the game. With its AI-powered assistance, you can now create structured, meaningful, and dynamic learning journals effortlessly. In this article, we’ll explore how to create learning journals using Copilot in OneNote, what benefits it offers, and how to get the most out of this powerful combination. https://dellenny.com/create-learning-journals-with-copilot-in-onenote-boost-learning-productivity/Understanding AI Prompts Writing Better Requests for Copilot
Artificial Intelligence (AI) has become a powerful ally for developers and content creators alike. Tools like GitHub Copilot and ChatGPT are revolutionizing how we write code, create documentation, and automate everyday tasks. Yet, one critical skill determines how much value you get from these tools — the ability to write effective AI prompts. Just like talking to another human, how you phrase your request influences the response. The art of “prompting” — or writing instructions for an AI — is becoming an essential part of working efficiently with these systems. This guide explores how AI prompts work, why they matter, and how you can craft better prompts for Copilot to maximize accuracy and creativity. https://dellenny.com/understanding-ai-prompts-writing-better-requests-for-copilot/Exploring the CoPilot Prompt Gallery A Game-Changer for AI-Assisted Workflows
In today’s fast-paced digital world, AI-powered assistants like Microsoft CoPilot are transforming the way we work, making tasks more efficient and automated. One of the most exciting innovations in this space is the CoPilot Prompt Gallery—a curated collection of prompts designed to enhance user interactions with CoPilot. Whether you are a developer, business user, or IT professional, the Prompt Gallery offers a valuable resource for optimizing how you communicate with AI to get the best results. https://dellenny.com/exploring-the-copilot-prompt-gallery-a-game-changer-for-ai-assisted-workflows/
Microsoft's Copilot: A Frustrating Flop in AI-Powered Productivity
Microsoft's Copilot was supposed to be the game-changer in productivity, but it's quickly proving to be a massive disappointment. The idea was simple: integrate AI directly into Word, Excel, PowerPoint, and other Office tools to make our lives easier. But when it comes to actually performing specific functions, Copilot falls flat. Here’s the problem: when you ask Copilot to alter a document, modify an Excel file, or adjust a PowerPoint presentation, it’s practically useless. Instead of performing the tasks as requested, it often leaves you hanging with vague suggestions or instructions. Users don't want to be told how to perform a task—they want it done. This is what an AI assistant should do: execute commands efficiently, not just offer advice. What makes this even more frustrating is that other AI tools, like ChatGPT, can handle these tasks effortlessly. When you ask ChatGPT to perform a specific function, it does so without hesitation. It’s able to understand the request and deliver exactly what’s needed. But Copilot? It struggles with the basics, and that’s unacceptable, especially from a company like Microsoft. It’s frankly embarrassing that Microsoft can’t get this right. The whole point of integrating AI into these tools was to streamline workflows and boost productivity. But if Copilot can’t even manage simple tasks like formatting a document or adjusting a spreadsheet, then what’s the point? Users don’t need another tool that tells them how to do something—they need one that does it for them. Microsoft, you’ve missed the mark with Copilot. It's not just a minor inconvenience; it's a serious flaw that undermines the value of your Office suite. When other AI tools can easily accomplish what Copilot can't, it's time to reevaluate. Users expect more, and frankly, they deserve more for their investment. What’s been your experience with Copilot? Is anyone else finding it as frustrating as I am? Let’s talk about it.Smarter Note-Taking and Better Organization with Microsoft OneNote and Copilot
In today’s fast-paced digital world, the amount of information we manage daily can be overwhelming. Microsoft’s OneNote, when paired with Copilot, takes note-taking and organization to a whole new level. This powerful combination helps users capture, structure, and act on information more intelligently—turning simple notes into actionable insights. https://dellenny.com/onenote-copilot-smarter-note-taking-and-organization-with-ai/Best Learning Paths to Master Copilot Skills
In today’s AI-enabled world, mastering tools like Microsoft 365 Copilot and GitHub Copilot opens up new productivity and creativity horizons. But simply “playing around” isn’t enough — you’ll benefit most from following a structured learning path. Below is a roadmap you can follow, with progressive stages, resources, tips, and how to apply what you learn. https://dellenny.com/best-learning-paths-to-master-copilot-skills/
Microsoft 365 Copilot licensing confusion
In the SharePoint Agent preview (ended in October 2025), Microsoft permitted unlicensed users to access SharePoint agents. I guess the reason for it was to enable organizations to evaluate agent functionality and provide feedback before licensing and billing requirements were applied (?). After the preview period concluded, it now seems that all users are required to have a Microsoft 365 Copilot Add-On license to interact with SharePoint agents. Users with, for example, a Microsoft 365 E3 license can only access the free version of Copilot (Copilot Chat), but do not have interaction privileges with SharePoint agents. A while ago, one of our CSP partners recommended us to buy a capacity pack and set up pay-as-you-go billing. In their opinion, this would replace the need for the Microsoft 365 Copilot Add-On license. However, we do not want to buy these expensive package unless we know for sure that this is the case. Can anyone answer the question: Does using a capacity pack and pay-as-you-go billing override user license requirements? Thank you ❤️Copilot Needs Stronger Mathematical Rigor
I’ve submitted this note via Feedback Hub and are sharing it here to invite discussion or visibility. As a user who values mathematical precision and structural fidelity, I’ve encountered recurring issues with Copilot’s handling of advanced mathematical topics—especially in algebraic frameworks involving Galois theory, resolvents, and group actions. While Copilot excels in linguistic creativity and dialectal nuance, its mathematical reasoning often includes invented logic, vague generalizations, and unjustified steps. More concerningly, Copilot can contradict itself within the same chat. The standard disclaimer that “AI can make mistakes” doesn’t begin to capture how wrong the answers can be—especially when the errors are not just factual but structural, undermining the logic of the entire framework. This inconsistency makes it difficult to trust Copilot as a mathematical collaborator. By contrast, Gemini—while also disclaiming fallibility—often delivers correct, elegant, and structurally sound mathematical responses. I’ve tested both systems side-by-side and can provide examples where Gemini maintains closure and fidelity, while Copilot improvises or contradicts itself. Specific areas where Copilot needs improvement: Explicit group-theoretic formalization, e.g., distinguishing C3 vs S3; providing the correct Galois group of a quartic D4 instead of V4; Using Galois’ approach, when asked, instead of responding with the modern, Artin’s style, field automorphisms fixing the base field; etc. Step-by-step logical closure in algebraic derivations Minimal counterexample reasoning to trap structure Historical fidelity in methods like Cardano and Lagrange resolvents Internal consistency across turns and within the same session Copilot has enormous potential to be a world-class mathematical companion. I’m passionate about using it for deep mathematical exploration, and I hope Microsoft will prioritize tightening the math engine—especially for users who demand rigor, not just fluency. It can be done as Gemini proves. Thank you for your work and openness to feedback. —VictorLimitation of Copilot agent development in M365 developer tenants
I am using a M365 developer subscription and have hit a wall trying to develop a functioning Copilot agent. I was able to sign up for Copilot Studio trial license. This enables creation of M365 Copilot agent with knowledge held in SharePoint lists. However, not having 'Semantic Index' is a severe limitation that defeats the purpose of developer subscription. The agent being unable to use 'Enhance SharePoint Search' setting aka 'Semantic Index' aka vector embeddings means the agent is basically dumb and not an intelligent AI agent. After some research, I discovered the tenant needs at least one M365 Copilot license to enable 'semantic index'. To get my Copilot agent built, I decided to invest in this expensive license and then discovered a developer agent can neither have M365 Copilot or PAYG metered license. What this all means is that 'M365 developer subscription CANNOT be used to build a Copilot agent grounded in data in SharePoint'. You may be able to create a dumb agent with web search. A note that the agent I was building was not for a commercial customer. It was for my learning. By creating a proper agent, I will be able to showcase it in a YouTube video with the hope that some client somewhere may find it useful enough to pay for me as well as pay for Microsoft licensing, a win-win. I guess I will have to increase my investment fund, and sign-up for 'M365 Production Tenant + M365 Prod License Business or Enterprise + M365 Copilot + M365 Copilot Studio'. Seems like this type of development is a luxury only few could afford. Just thought to share as this may be useful for others trying to do the same.
