If you're going to use the M365 Personal Productivity tools, you should understand 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲𝘆'𝗿𝗲 𝗺𝗮𝗱𝗲 𝗮𝗻𝗱 𝗻𝗼𝘁 𝗺𝗮𝗱𝗲 𝗳𝗼𝗿 and most importantly, where they actually live. 🔁 Workflows = Automation Use it when you want to automate tasks across Microsoft 365. Example: “When I get an ‘Account Expired’ email → add item to tomorrow’s standup.” ✔ Uses Microsoft apps ✔ AI prompts for logic ✔ Lives in Power Platform environment ❌ Cannot use external connectors (

It's so easy to build a Dataverse table now with AI, unfortunately it also means it's so easy to miss critical configurations that are so hard to undo later. 1️⃣ Naming matters - It's more than just vanity Avoid adding “s” to table names. 𝘞𝘩𝘺 𝘉𝘪𝘨 𝘩𝘦𝘢𝘥𝘢𝘤𝘩𝘦 𝘭𝘢𝘵𝘦𝘳? -> Dataverse automatically pluralizes it and now you're testing Web API calls and cant remember if its new_cars, new_cares, new_carss? 2️⃣ Many-to-many - It saves clicks but causes earthquates Nativ

Copilot is getting better every day. That doesn’t mean you  should try to learn faster.... The real advantage is learning what AI can’t  do. We've carefully examined which areas are the hardest for Claude and Copilot to dominate, and noticed 8 key patterns.  𝗣𝘂𝗿𝘃𝗶𝗲𝘄 Organizations will never trust AI to govern AI, that's where you come in.  1. Deciding what data should be governed  2. Defining classification and sensitivity levels  3. Translating regulations into enforc

Microsoft’s Copilot Studio gives you powerful tools to build AI-driven agents, automate workflows, and integrate advanced models like GPT-4.1 and GPT-5. But its pricing can feel confusing—credits, packs, pre-purchase plans… what does it all mean? We collaborated with the talented licensing expert Michael Morrison to create this guide.

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Have you ever tried to find something in a massive pile of digital data — like a specific sentence in thousands of documents, or a single image buried in cloud storage?That’s exactly what Azure AI Search  is built for. Think of it as your superpowered librarian who knows exactly where everything is — and gets smarter the more it learns about what you’re really looking for. 🧩 Step 1: Index Your Data Before you can search anything, you need to organize your data  into an index

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