Fact check: TRUE.

Former FBI agent Michelle Ball helped take a 50-page confession about buying help in Congress. Then Kash Patel's FBI fired her over her work on Trump's 2020 election case, and the bribery probe died. Now she's suing: dworkinsubstack.com/p/trumps…

8 service members assigned to the USS Abraham Lincoln carrier group have attempted suicide during their extended deployment.

From 16,000 to 185 to Zero: Trump’s Claims of Illegal Voting in Nevada Fizzle. "The state sent a strongly worded rebuke to the federal government: Every single person on the list was a lawful citizen." nytimes.com/2026/09/24/us/po…

Started putting my Sukkah together. It is gonna be epic. If you are in Pardes Chana, feel free to come by.

Rabboisai, if you’re delaying a flight because you won’t sit next to a woman, I promise you that the chilul Hashem you’re doing far outweighs mixed seating

RT @Peaklaven: Add a retro owl scarf to winter and autumn outfits. A simple gift for birthdays or Christmas.

Most teams rush to build AI agents before asking the most important question: ❓ Should you even build one? Microsoft's Cloud Adoption Framework has a decision tree that cuts through the noise. Here's what it actually says: 🔷 Step 1 — Business Plan Check If your task is structured or predictable → skip agents entirely. Use GitHub, Microsoft Fabric, or ML models instead. If it's static knowledge retrieval → build a RAG app, not an agent. 🔷 Step 2 — SaaS Before Custom Before writing a single line of custom agent code, ask: does M365 Copilot, GitHub Copilot, Azure Copilot, or Dynamics 365 already solve this? If yes → use it. If no → now you can build. 🔷 Step 3 — Architecture Decision Single agent or multi-agent? Only go multi-agent if you're crossing security/compliance boundaries, involving multiple teams, or planning for serious scale. Otherwise? Test a single agent first. If it passes → ship it. If it fails → then escalate to multi-agent. The framework's core philosophy: 👉 Don't build what already exists. 👉 Don't over-engineer what can stay simple. 👉 Let the use case — not the hype — drive the architecture. This is the kind of structured thinking that separates mature AI adoption from "we just used agents because everyone else is." Where does your team usually get stuck in this decision process? 𝗕𝗲𝗰𝗼𝗺𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝘁 𝗔𝗜 𝗶𝗻 𝗷𝘂𝘀𝘁 𝟭 𝗺𝗶𝗻𝘂𝘁𝗲 𝗮 𝗱𝗮𝘆. 𝗝𝗼𝗶𝗻 𝗺𝘆 𝘄𝗲𝗲𝗸𝗹𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝘄𝗵𝗲𝗿𝗲 𝗜 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 𝗼𝗳 𝗔𝗜 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻. 👉 𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗿𝗲𝗲 now → avsl.beehiiv.com/ Follow @AiswaryaVenkit1 for more such insights!!

Codex can build half my app in minutes. Then I spend an hour trying to understand what it built.

Sports pieces opinions that Giants and Commies need to draft QBs..is wild...top drafted QBs is no promise of anything. Lots of busts and misses in the top drafted QBs

🚀 20 Powerful Use Cases of Microsoft 365 Copilot AI is transforming how we work. With Microsoft Copilot Copilot, professionals can save hours every week by automating writing, meetings, data analysis, and workflows directly inside Microsoft 365. Here are 20 practical ways Microsoft Copilot can boost productivity: 1️⃣ Inbox Summaries – Quickly skim long email threads and highlight key points. 2️⃣ Draft & Rewrite – Generate email drafts and refine tone instantly. 3️⃣ Schedules / Agenda – Suggest meeting times and automatically draft agendas. 4️⃣ Inbox Prioritization – Identify urgent and important emails using AI context. 5️⃣ Meeting Recaps – Generate summaries, decisions, and action items from meetings. 6️⃣ Live Meeting Q&A – Ask questions during meetings and get real-time answers. 7️⃣ Project Updates – Convert meeting notes and chats into stakeholder updates. 8️⃣ Decision Log – Extract decisions from meetings and organize them with tasks. 9️⃣ Data Insights – Ask questions in natural language and get visual insights. 🔟 Formula Assistance – Describe the logic and Copilot writes spreadsheet formulas. 1️⃣1️⃣ Data Cleaning – Standardize, label, and fix messy data quickly. 1️⃣2️⃣ Scenario Modeling – Generate best-case, worst-case, and realistic scenarios. 1️⃣3️⃣ Page/Post Drafting – Create SharePoint pages from prompts or documents. 1️⃣4️⃣ File Summaries – Understand documents instantly before opening them. 1️⃣5️⃣ Audio Overview – Turn files into AI-generated audio summaries. 1️⃣6️⃣ FAQ Creation – Generate FAQs from existing documents in minutes. 1️⃣7️⃣ Org-Wide Q&A – Ask questions across emails, files, chats, and meetings. 1️⃣8️⃣ Task Extraction – Automatically pull tasks from meetings and conversations. 1️⃣9️⃣ App Builder – Create simple business apps using natural language prompts. 2️⃣0️⃣ Workflow Automation – Build automated workflows with AI-driven suggestions. 💡 The biggest advantage? Copilot works inside tools you already use, making AI part of your daily workflow. Which of these 20 Copilot use cases would help you the most in your work? 𝗕𝗲𝗰𝗼𝗺𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝘁 𝗔𝗜 𝗶𝗻 𝗷𝘂𝘀𝘁 𝟭 𝗺𝗶𝗻𝘂𝘁𝗲 𝗮 𝗱𝗮𝘆. 𝗝𝗼𝗶𝗻 𝗺𝘆 𝘄𝗲𝗲𝗸𝗹𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝘄𝗵𝗲𝗿𝗲 𝗜 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 𝗼𝗳 𝗔𝗜 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻. 👉 𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗿𝗲𝗲 now → avsl.beehiiv.com/ Follow @AiswaryaVenkit1 for more such insights!!